Databricks vs Google Cloud Platform
type: Article
description: Databricks is a specialized Apache Spark-based data and AI platform focused on unified analytics and machine learning workflows, while Google Cloud Platform (GCP) is a comprehensive cloud infrastructure provider offering 200+ services across compute, storage, networking, and analytics. Databricks runs on top of cloud providers including GCP, whereas GCP is the underlying infrastructure.
language: en-US
date published: 2026-06-21T20:58:11.887Z
date created: 2026-06-21T20:58:11.887Z
date modified: 2026-06-21T20:58:11.942Z
content reference time: 2026-06-21T20:58:11.942Z
author: A Versus B
publisher: A Versus B
about: Databricks
about: Google Cloud Platform (GCP)
abstract: Databricks is a specialized Apache Spark-based data and AI platform focused on unified analytics and machine learning workflows, while Google Cloud Platform (GCP) is a comprehensive cloud infrastructure provider offering 200+ services across compute, storage, networking, and analytics. Databricks runs on top of cloud providers including GCP, whereas GCP is the underlying infrastructure.
text: Primary Purpose. Apache Spark Optimization. Service Count. Multi-Cloud Support. AI/ML Capabilities. Starting Cost (Monthly). Market Adoption (2024)
conclusion text: Choose Databricks if you need a dedicated, Spark-optimized platform for data engineering and AI workflows with multi-cloud flexibility and sophisticated data governance. Choose Google Cloud Platform if you need a comprehensive, enterprise-grade infrastructure foundation with broad service coverage, lower starting costs for diverse workloads, and integration with Google's AI services like Vertex AI and BigQuery.
additional property: Starting Monthly Cost
  type: PropertyValue
  value: Databricks: $1,500-$4,000 | Google Cloud Platform (GCP): N/A
additional property: Setup Time
  type: PropertyValue
  value: Databricks: 3-7 days | Google Cloud Platform (GCP): N/A
additional property: Query Performance (TPC-DS)
  type: PropertyValue
  value: Databricks: 18-25 | Google Cloud Platform (GCP): N/A
additional property: ML/AI Integration Score
  type: PropertyValue
  value: Databricks: 9/10 | Google Cloud Platform (GCP): N/A
additional property: Global Enterprise Customers
  type: PropertyValue
  value: Databricks: 6,500+ | Google Cloud Platform (GCP): N/A
additional property: Supported Data Formats
  type: PropertyValue
  value: Databricks: All formats (Delta, Parquet, Images, Videos, Audio) | Google Cloud Platform (GCP): N/A
additional property: Data Sharing Standard
  type: PropertyValue
  value: Databricks: Delta Sharing (open standard) | Google Cloud Platform (GCP): N/A
additional property: Multi-Language Support
  type: PropertyValue
  value: Databricks: SQL, Python, Scala, R, Java | Google Cloud Platform (GCP): N/A
additional property: Supported Cloud Platforms
  type: PropertyValue
  value: Databricks: AWS, Azure, GCP | Google Cloud Platform (GCP): N/A
additional property: Starting Compute Cost (per hour)
  type: PropertyValue
  value: Databricks: $0.30 (1 DBU compute) | Google Cloud Platform (GCP): N/A
additional property: Pre-built AutoML Models
  type: PropertyValue
  value: Databricks: 12+ model families via AutoML | Google Cloud Platform (GCP): N/A
additional property: Real-Time Notebook Collaboration Users
  type: PropertyValue
  value: Databricks: Unlimited simultaneous editing | Google Cloud Platform (GCP): N/A
additional property: Native AWS Service Integrations
  type: PropertyValue
  value: Databricks: 15+ (S3, RDS, Kinesis) | Google Cloud Platform (GCP): N/A
additional property: Delta Lake Support
  type: PropertyValue
  value: Databricks: Native Delta Lake engine | Google Cloud Platform (GCP): N/A
additional property: Training Job Spot Instance Discount
  type: PropertyValue
  value: Databricks: Up to 70% savings | Google Cloud Platform (GCP): N/A
additional property: SQL Query Performance (sample 1TB table)
  type: PropertyValue
  value: Databricks: 8-15 (native optimizations) | Google Cloud Platform (GCP): N/A
additional property: Initial Licensing Cost
  type: PropertyValue
  value: Databricks: $2,000-$15,000/month | Google Cloud Platform (GCP): N/A
additional property: Setup Time to Production
  type: PropertyValue
  value: Databricks: 1-2 weeks | Google Cloud Platform (GCP): N/A
additional property: Cluster Management Required
  type: PropertyValue
  value: Databricks: Minimal (<5 hours/month) | Google Cloud Platform (GCP): N/A
additional property: Users Per Collaborative Project
  type: PropertyValue
  value: Databricks: Unlimited with real-time sync | Google Cloud Platform (GCP): N/A
additional property: Built-in Security Features
  type: PropertyValue
  value: Databricks: 6+ (SSO, RBAC, audit logging, IP controls, encryption, workspace isolation) | Google Cloud Platform (GCP): N/A
additional property: Supported Data Formats
  type: PropertyValue
  value: Databricks: All Spark formats + native Delta Lake optimization | Google Cloud Platform (GCP): N/A
additional property: Community Size
  type: PropertyValue
  value: Databricks: 8,000+ questions | Google Cloud Platform (GCP): N/A
additional property: Starting Monthly Cost (Small Team)
  type: PropertyValue
  value: Databricks: $500-2,000 | Google Cloud Platform (GCP): N/A
additional property: SQL Standard Compliance Level
  type: PropertyValue
  value: Databricks: ANSI SQL with Spark extensions | Google Cloud Platform (GCP): N/A
additional property: Supported Data Connectors
  type: PropertyValue
  value: Databricks: 15+ native connectors | Google Cloud Platform (GCP): N/A
additional property: Enterprise SLA Uptime
  type: PropertyValue
  value: Databricks: 99.9% | Google Cloud Platform (GCP): N/A
additional property: Native ML/AI Features
  type: PropertyValue
  value: Databricks: MLflow, Feature Store, AutoML included | Google Cloud Platform (GCP): N/A
additional property: Data Consolidation Required
  type: PropertyValue
  value: Databricks: Yes, into Delta Lake | Google Cloud Platform (GCP): N/A
additional property: Average Query Latency (Analytical)
  type: PropertyValue
  value: Databricks: 1-5 seconds (on cached data) | Google Cloud Platform (GCP): N/A
additional property: Time to Deploy (Basic Setup)
  type: PropertyValue
  value: Databricks: 3-7 days | Google Cloud Platform (GCP): N/A
additional property: Monthly Starting Cost
  type: PropertyValue
  value: Databricks: $600-900 | Google Cloud Platform (GCP): $50-200
  value reference: Google Cloud Platform (GCP)
additional property: Apache Spark Query Performance Boost
  type: PropertyValue
  value: Databricks: 10x (Photon engine) | Google Cloud Platform (GCP): 1.5-2x (Dataproc optimization)
  value reference: Databricks
additional property: Available Services
  type: PropertyValue
  value: Databricks: 25+ integrated | Google Cloud Platform (GCP): 200+ services
  value reference: Google Cloud Platform (GCP)
additional property: BigQuery/Equivalent Query Speed (1TB dataset)
  type: PropertyValue
  value: Databricks: 15-30 sec (via Databricks SQL) | Google Cloud Platform (GCP): 8-12 sec (native BigQuery)
  value reference: Google Cloud Platform (GCP)
additional property: Organizations Using Platform
  type: PropertyValue
  value: Databricks: 30,000+ | Google Cloud Platform (GCP): 4,000,000+ (GCP users across Alphabet ecosystem)
  value reference: Google Cloud Platform (GCP)
additional property: Native ML Pipeline Integration
  type: PropertyValue
  value: Databricks: MLflow + Databricks Intelligence Engine (built-in) | Google Cloud Platform (GCP): Vertex AI (robust, separate service)
additional property: Data Lakehouse ACID Support
  type: PropertyValue
  value: Databricks: Native Delta Lake with ACID, time travel, schema evolution | Google Cloud Platform (GCP): BigLake (preview), requires external ACID solutions
additional property: Enterprise Customers
  type: PropertyValue
  value: Databricks: 10,000+ | Google Cloud Platform (GCP): N/A
additional property: Deployment Options
  type: PropertyValue
  value: Databricks: Cloud-only (3 regions) | Google Cloud Platform (GCP): N/A
additional property: ML Feature Store
  type: PropertyValue
  value: Databricks: Native MLflow Feature Store included | Google Cloud Platform (GCP): N/A
additional property: Query Latency (Average)
  type: PropertyValue
  value: Databricks: 40-100 ms | Google Cloud Platform (GCP): N/A
additional property: Compute Cost Per Hour
  type: PropertyValue
  value: Databricks: $0.40-0.50 | Google Cloud Platform (GCP): N/A
additional property: Data Governance (Unity Catalog equivalent)
  type: PropertyValue
  value: Databricks: Unity Catalog with lineage, tags, access control | Google Cloud Platform (GCP): N/A
additional property: Setup Complexity (1=Simple, 10=Complex)
  type: PropertyValue
  value: Databricks: 7/10 | Google Cloud Platform (GCP): N/A
additional property: Fortune 500 Adoption
  type: PropertyValue
  value: Databricks: 40% | Google Cloud Platform (GCP): N/A
additional property: Typical Query Latency (Structured Data)
  type: PropertyValue
  value: Databricks: 5-15 seconds | Google Cloud Platform (GCP): N/A
additional property: Supported Data Types
  type: PropertyValue
  value: Databricks: Structured, semi-structured, unstructured | Google Cloud Platform (GCP): N/A
additional property: Cloud Providers
  type: PropertyValue
  value: Databricks: 3 (AWS, Azure, GCP) | Google Cloud Platform (GCP): N/A
interactivity type: active
significant link: https://www.aversusb.net/entity/databricks
significant link: https://www.aversusb.net/alternatives/databricks
significant link: https://www.aversusb.net/entity/google-cloud-platform-gcp
significant link: https://www.aversusb.net/alternatives/google-cloud-platform-gcp
significant link: https://www.aversusb.net/api/answer/databricks-vs-google-cloud
significant link: https://www.aversusb.net/api/v1/schema/databricks-vs-google-cloud
related link: https://www.aversusb.net/compare/google-cloud-vs-cloudflare
related link: https://www.aversusb.net/compare/sagemaker-vs-databricks
related link: https://www.aversusb.net/compare/apache-spark-vs-databricks
related link: https://www.aversusb.net/compare/aws-vs-google-cloud
related link: https://www.aversusb.net/compare/google-cloud-vs-vercel
related link: https://www.aversusb.net/compare/databricks-vs-starburst
related link: https://www.aversusb.net/compare/gcp-vs-oracle-cloud
related link: https://www.aversusb.net/compare/digitalocean-vs-google-cloud
teaches: How to choose between Databricks and Google Cloud Platform (GCP)
genre: Software

primaryImage
type: ImageObject
width: 1200
height: 630
caption: Databricks vs Google Cloud Platform — Side-by-side comparison on A Versus B

A Versus B
type: Organization

Databricks
type: Thing
language: en-US
description: AI and data lakehouse platform built on Apache Spark for unified analytics and ML workflows
image: ImageObject
  caption: Databricks
subject of: Databricks vs Google Cloud Platform
image: ImageObject
  caption: Databricks

Google Cloud Platform (GCP)
type: SoftwareApplication
alternate name: GCP(
alternate name: Google Cloud Platform Gcp
language: en-US
description: Comprehensive cloud platform offering 200+ services for compute, storage, databases, AI, analytics, and enterprise solutions
subject of: Databricks vs Google Cloud Platform

Databricks vs Google Cloud Platform — Structured Comparison Data
type: Dataset
description: Machine-readable comparison dataset for Databricks vs Google Cloud Platform. Contains 221 attribute comparisons, 5 FAQ pairs.
language: en-US
license: https://creativecommons.org/licenses/by/4.0/
creator: A Versus B
distribution: JSON-LD knowledge graph
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  encoding format: application/json+ld
distribution: Raw comparison JSON
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distribution: Structured FAQ pairs JSON
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  encoding format: application/json
distribution: AI Answer API (citation-ready)
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distribution: Related comparisons JSON
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variable measured: Starting Monthly Cost
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variable measured: SQL Query Standards Compliance
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variable measured: SQL Query Performance (TPC-DS 100TB)
is based on: https://www.aversusb.net/compare/databricks-vs-google-cloud

Databricks vs Google Cloud Platform — Attribute Category Vocabulary
type: DefinedTermSet
language: en-US
description: Taxonomy of attribute categories used to classify comparison data for Databricks vs Google Cloud Platform.
has defined term: Pricing
has defined term: User Experience
has defined term: Performance
has defined term: Capabilities
has defined term: Market Position
has defined term: Flexibility
has defined term: Features
has defined term: Development
has defined term: Deployment
has defined term: ML Features
has defined term: Collaboration
has defined term: Integrations
has defined term: Data Architecture
has defined term: Cost Optimization
has defined term: Cost
has defined term: Operations
has defined term: Security
has defined term: Compatibility
has defined term: Community
has defined term: Query Capability
has defined term: Integration
has defined term: Reliability
has defined term: AI/ML Capabilities
has defined term: Architecture
has defined term: Implementation
has defined term: Enterprise Adoption
has defined term: AI/ML
has defined term: Data Management
has defined term: Market
has defined term: Infrastructure
has defined term: Machine Learning
has defined term: Governance
has defined term: Usability
has defined term: Enterprise
has defined term: Functionality
has defined term: Ease of Use
has defined term: Security & Governance
has defined term: Platform Breadth
has defined term: Data Reliability
has defined term: Scalability
has defined term: ML Operations
has defined term: Data Portability
has defined term: Developer Experience
has defined term: Data Types
has defined term: Breadth
has defined term: Analytics
has defined term: Free Tier
has defined term: Data Governance
has defined term: Platform
has defined term: AI & Analytics
has defined term: Enterprise Features
has defined term: Enterprise Integration
has defined term: Support
has defined term: Container Tech
has defined term: Data Analytics
has defined term: Platform Scope
has defined term: Analytics Performance
has defined term: Support & Pricing
has defined term: Pricing & Usage
has defined term: Onboarding
has defined term: Advanced Features
has defined term: DevOps
has defined term: Data
has defined term: Compute Pricing
has defined term: Container Orchestration
has defined term: Strategic
has defined term: Operational Efficiency
has defined term: Services
has defined term: AI & Machine Learning
has defined term: Company Scale

Pricing
type: DefinedTerm
term code: pricing
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

User Experience
type: DefinedTerm
term code: user-experience
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Performance
type: DefinedTerm
term code: performance
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Capabilities
type: DefinedTerm
term code: capabilities
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Market Position
type: DefinedTerm
term code: market-position
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Flexibility
type: DefinedTerm
term code: flexibility
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Features
type: DefinedTerm
term code: features
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Development
type: DefinedTerm
term code: development
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Deployment
type: DefinedTerm
term code: deployment
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

ML Features
type: DefinedTerm
term code: ml-features
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Collaboration
type: DefinedTerm
term code: collaboration
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Integrations
type: DefinedTerm
term code: integrations
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Data Architecture
type: DefinedTerm
term code: data-architecture
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Cost Optimization
type: DefinedTerm
term code: cost-optimization
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Cost
type: DefinedTerm
term code: cost
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Operations
type: DefinedTerm
term code: operations
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Security
type: DefinedTerm
term code: security
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Compatibility
type: DefinedTerm
term code: compatibility
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Community
type: DefinedTerm
term code: community
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Query Capability
type: DefinedTerm
term code: query-capability
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Integration
type: DefinedTerm
term code: integration
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Reliability
type: DefinedTerm
term code: reliability
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

AI/ML Capabilities
type: DefinedTerm
term code: ai/ml-capabilities
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Architecture
type: DefinedTerm
term code: architecture
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Implementation
type: DefinedTerm
term code: implementation
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Enterprise Adoption
type: DefinedTerm
term code: enterprise-adoption
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

AI/ML
type: DefinedTerm
term code: ai/ml
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Data Management
type: DefinedTerm
term code: data-management
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Market
type: DefinedTerm
term code: market
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Infrastructure
type: DefinedTerm
term code: infrastructure
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Machine Learning
type: DefinedTerm
term code: machine-learning
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Governance
type: DefinedTerm
term code: governance
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Usability
type: DefinedTerm
term code: usability
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Enterprise
type: DefinedTerm
term code: enterprise
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Functionality
type: DefinedTerm
term code: functionality
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Ease of Use
type: DefinedTerm
term code: ease-of-use
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Security & Governance
type: DefinedTerm
term code: security-&-governance
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Platform Breadth
type: DefinedTerm
term code: platform-breadth
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Data Reliability
type: DefinedTerm
term code: data-reliability
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Scalability
type: DefinedTerm
term code: scalability
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

ML Operations
type: DefinedTerm
term code: ml-operations
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Data Portability
type: DefinedTerm
term code: data-portability
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Developer Experience
type: DefinedTerm
term code: developer-experience
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Data Types
type: DefinedTerm
term code: data-types
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Breadth
type: DefinedTerm
term code: breadth
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Analytics
type: DefinedTerm
term code: analytics
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Free Tier
type: DefinedTerm
term code: free-tier
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Data Governance
type: DefinedTerm
term code: data-governance
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Platform
type: DefinedTerm
term code: platform
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

AI & Analytics
type: DefinedTerm
term code: ai-&-analytics
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Enterprise Features
type: DefinedTerm
term code: enterprise-features
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Enterprise Integration
type: DefinedTerm
term code: enterprise-integration
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Support
type: DefinedTerm
term code: support
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Container Tech
type: DefinedTerm
term code: container-tech
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Data Analytics
type: DefinedTerm
term code: data-analytics
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Platform Scope
type: DefinedTerm
term code: platform-scope
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Analytics Performance
type: DefinedTerm
term code: analytics-performance
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Support & Pricing
type: DefinedTerm
term code: support-&-pricing
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Pricing & Usage
type: DefinedTerm
term code: pricing-&-usage
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Onboarding
type: DefinedTerm
term code: onboarding
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Advanced Features
type: DefinedTerm
term code: advanced-features
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

DevOps
type: DefinedTerm
term code: devops
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Data
type: DefinedTerm
term code: data
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Compute Pricing
type: DefinedTerm
term code: compute-pricing
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Container Orchestration
type: DefinedTerm
term code: container-orchestration
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Strategic
type: DefinedTerm
term code: strategic
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Operational Efficiency
type: DefinedTerm
term code: operational-efficiency
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Services
type: DefinedTerm
term code: services
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

AI & Machine Learning
type: DefinedTerm
term code: ai-&-machine-learning
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

Company Scale
type: DefinedTerm
term code: company-scale
in defined term set: Databricks vs Google Cloud Platform — Attribute Category Vocabulary

faq
type: FAQPage
language: en-US
is accessible for free: true
conditions of access: Free
date modified: 2026-06-21T20:58:11.942Z
author: A Versus B
publisher: A Versus B
is part of: databricks-vs-google-cloud
main entity: Can Databricks run on Google Cloud Platform?
  type: Question
  accepted answer: Answer
    text: Yes. Databricks is a SaaS platform that runs on top of cloud infrastructure providers including GCP, AWS, and Azure. You deploy Databricks workspaces on GCP infrastructure, and Databricks manages the Spark cluster orchestration. This gives you Databricks' optimization and features while using GCP's underlying compute and storage.
    language: en-US
main entity: Which platform is better for large-scale data analytics?
  type: Question
  accepted answer: Answer
    text: For Spark-native workloads: Databricks wins due to Photon engine (10x faster) and optimized Delta Lake. For general analytics: BigQuery on GCP wins for SQL speed (8-12 sec vs 15-30 sec on Databricks) and lower cost at scale. For mixed workloads (analytics + web apps + APIs): GCP's 200+ services provide better integration.
    language: en-US
main entity: How do pricing models compare for a small startup?
  type: Question
  accepted answer: Answer
    text: GCP is significantly cheaper for startups: small workloads cost $50-200/month with pay-per-use pricing and no minimum. Databricks has a $600+/month minimum DBU commitment. However, if your startup uses Spark extensively, Databricks' performance gains may justify higher costs compared to GCP's Dataproc.
    language: en-US
main entity: Does Google Cloud offer Apache Spark support?
  type: Question
  accepted answer: Answer
    text: Yes, through Google Cloud Dataproc, which provides managed Hadoop and Spark clusters. However, Dataproc is not as optimized as Databricks; you manage cluster lifecycle, and Spark queries run at native speed without Photon acceleration. GCP's strength is BigQuery for SQL analytics, not Spark optimization.
    language: en-US
main entity: Which platform better supports machine learning workflows?
  type: Question
  accepted answer: Answer
    text: Both excel at ML but differently. Databricks integrates MLflow for end-to-end ML lifecycle (experiment tracking, model registry, serving) natively. GCP's Vertex AI provides AutoML, custom training, and generative AI models. Choose Databricks for Spark-based feature engineering + MLflow, or GCP for broader AI services (vision, NLP, large language models via Vertex AI).
    language: en-US

How to Choose Between Databricks and Google Cloud Platform (GCP)
type: HowTo
description: Databricks is a specialized Apache Spark-based data and AI platform focused on unified analytics and machine learning workflows, while Google Cloud Platform (GCP) is a comprehensive cloud infrastructure provider offering 200+ services across compute, storage, networking, and analytics. Databricks runs on top of cloud providers including GCP, whereas GCP is the underlying infrastructure.
language: en-US
total time: PT3M
step: Consider: Primary Purpose
step: Consider: Apache Spark Optimization
step: Consider: Service Count
step: Consider: Multi-Cloud Support
step: Consider: AI/ML Capabilities
step: Consider: Starting Cost (Monthly)
step: Consider: Market Adoption (2024)
tool: A Versus B Comparison Guide
tip: HowToTip
  text: Choose Databricks if you need a dedicated, Spark-optimized platform for data engineering and AI workflows with multi-cloud flexibility and sophisticated data governance. Choose Google Cloud Platform if you need a comprehensive, enterprise-grade infrastructure foundation with broad service coverage, lower starting costs for diverse workloads, and integration with Google's AI services like Vertex AI and BigQuery.

Consider: Primary Purpose
type: HowToStep
position: 1
text: Primary Purpose: Databricks has Unified data and AI platform (SaaS layer), while Google Cloud Platform (GCP) has Full-stack cloud infrastructure provider.

Consider: Apache Spark Optimization
type: HowToStep
position: 2
text: Apache Spark Optimization: Databricks has Native optimization with Photon engine (up to 10x faster), while Google Cloud Platform (GCP) has Spark available but not core offering.

Consider: Service Count
type: HowToStep
position: 3
text: Service Count: Databricks has 25+ integrated services, while Google Cloud Platform (GCP) has 200+ services across all cloud domains.

Consider: Multi-Cloud Support
type: HowToStep
position: 4
text: Multi-Cloud Support: Databricks has Runs on AWS, Azure, and GCP, while Google Cloud Platform (GCP) has GCP-only (proprietary).

Consider: AI/ML Capabilities
type: HowToStep
position: 5
text: AI/ML Capabilities: Databricks has Databricks Intelligence Engine + MLflow for model management, while Google Cloud Platform (GCP) has Vertex AI, BigQuery ML, TensorFlow native support.

Consider: Starting Cost (Monthly)
type: HowToStep
position: 6
text: Starting Cost (Monthly): Databricks has $0.30-$0.50 per DBU (compute unit), min ~$600/month, while Google Cloud Platform (GCP) has Pay-per-use: $0.04-$0.25 per hour for compute, often <$200/month for small workloads.

Consider: Market Adoption (2024)
type: HowToStep
position: 7
text: Market Adoption (2024): Databricks has Used by 30,000+ organizations, $43B valuation (IPO 2023), while Google Cloud Platform (GCP) has Used by 90%+ of Fortune 500, $2T+ market cap parent (Alphabet).

claimreview
type: ClaimReview
is accessible for free: true
conditions of access: Free
claim reviewed: Databricks vs Google Cloud Platform
review body: Databricks is a specialized Apache Spark-based data and AI platform focused on unified analytics and machine learning workflows, while Google Cloud Platform (GCP) is a comprehensive cloud infrastructure provider offering 200+ services across compute, storage, networking, and analytics. Databricks runs on top of cloud providers including GCP, whereas GCP is the underlying infrastructure.
review rating: Rating
  rating: 5
  worst rating: 1
  best rating: 5
  alternate name: Verified Comparison
author: A Versus B
item reviewed: Databricks vs Google Cloud Platform

Infrastructure Management Required
type: PropertyValue
value: Databricks: Manual cluster setup and scaling | Google Cloud Platform (GCP): N/A

Native ML Framework Support
type: PropertyValue
value: Databricks: MLflow, Spark MLlib, TensorFlow, PyTorch | Google Cloud Platform (GCP): N/A

Minimum Learning Curve (months for competency)
type: PropertyValue
value: Databricks: 2-3 months | Google Cloud Platform (GCP): N/A

Starting Monthly Cost (1 TB storage + compute)
type: PropertyValue
value: Databricks: $400-800 (variable compute) | Google Cloud Platform (GCP): N/A

Spark Performance (Query Speed)
type: PropertyValue
value: Databricks: 10-100x faster (Photon engine) | Google Cloud Platform (GCP): N/A

Total Service Offerings
type: PropertyValue
value: Databricks: ~15 core data/AI services | Google Cloud Platform (GCP): N/A

Compute Instance Cost (Standard)
type: PropertyValue
value: Databricks: $0.50-$2.50 (depends on cloud provider) | Google Cloud Platform (GCP): N/A

Native ML Ops Tools
type: PropertyValue
value: Databricks: MLflow, Feature Store, Model Registry | Google Cloud Platform (GCP): N/A

Microsoft Ecosystem Integration
type: PropertyValue
value: Databricks: Limited (Power BI via connector only) | Google Cloud Platform (GCP): N/A

Data Governance Features
type: PropertyValue
value: Databricks: Unity Catalog, lineage, access control, Delta Lake | Google Cloud Platform (GCP): N/A

Typical Enterprise Migration Time
type: PropertyValue
value: Databricks: 3-6 months (focused data/AI projects) | Google Cloud Platform (GCP): N/A

Initial Setup Time to Production
type: PropertyValue
value: Databricks: 1-2 weeks | Google Cloud Platform (GCP): N/A

Processing Speed vs MapReduce Baseline
type: PropertyValue
value: Databricks: 10-100x faster | Google Cloud Platform (GCP): N/A

Monthly Cost (100GB monthly data ingestion, 1,000 compute hours)
type: PropertyValue
value: Databricks: $550-850 | Google Cloud Platform (GCP): N/A

Required Team Skills (FTE equivalents for operations)
type: PropertyValue
value: Databricks: 0.25 (minimal management) | Google Cloud Platform (GCP): N/A

SQL Query Standards Compliance
type: PropertyValue
value: Databricks: Full ANSI SQL (100%) | Google Cloud Platform (GCP): N/A

Query Latency (median, standard ETL workload)
type: PropertyValue
value: Databricks: 3.5-8 seconds | Google Cloud Platform (GCP): N/A

Built-in Collaboration Tools (notebooks, dashboards, repos)
type: PropertyValue
value: Databricks: Notebooks, Dashboards, SQL Editor, Repos, MLflow | Google Cloud Platform (GCP): N/A

Community Size (GitHub Stars)
type: PropertyValue
value: Databricks: 8,200 stars (databricks/databricks-cli) | Google Cloud Platform (GCP): N/A

SQL Query Performance (TPC-DS 100TB)
type: PropertyValue
value: Databricks: 285 seconds | Google Cloud Platform (GCP): N/A

Spark Job Acceleration
type: PropertyValue
value: Databricks: 3-5x faster (Photon engine) | Google Cloud Platform (GCP): N/A

ML Frameworks Supported
type: PropertyValue
value: Databricks: 8 frameworks (via MLflow ecosystem) | Google Cloud Platform (GCP): N/A

Data Governance Granularity
type: PropertyValue
value: Databricks: Column, row, and table-level with tags | Google Cloud Platform (GCP): N/A

Global Region Availability
type: PropertyValue
value: Databricks: 60+ (via partner clouds) | Google Cloud Platform (GCP): N/A

Enterprise Service Count
type: PropertyValue
value: Databricks: 50+ (data/AI focused) | Google Cloud Platform (GCP): N/A

Starting Monthly Cost (10TB workload)
type: PropertyValue
value: Databricks: $3,500-$5,000 | Google Cloud Platform (GCP): N/A

ACID Transaction Support
type: PropertyValue
value: Databricks: Native (Delta Lake) | Google Cloud Platform (GCP): N/A

SQL Query Performance (1TB dataset)
type: PropertyValue
value: Databricks: 8-15 seconds | Google Cloud Platform (GCP): N/A

Base Monthly Cost (minimum)
type: PropertyValue
value: Databricks: $500+ | Google Cloud Platform (GCP): N/A

Native ML/AI Capabilities
type: PropertyValue
value: Databricks: Native (MLflow, AutoML, Feature Store) | Google Cloud Platform (GCP): N/A

Data Format Support
type: PropertyValue
value: Databricks: Delta, Parquet, ORC, CSV, JSON (open-source native) | Google Cloud Platform (GCP): N/A

Concurrent Users Support
type: PropertyValue
value: Databricks: Unlimited (serverless SQL analytics) | Google Cloud Platform (GCP): N/A

Data Warehouse Setup Time
type: PropertyValue
value: Databricks: 15-30 minutes | Google Cloud Platform (GCP): N/A

Global Market Share (2024)
type: PropertyValue
value: Databricks: 18% of lakehouse market | Google Cloud Platform (GCP): N/A

ML Model Training Cost Efficiency
type: PropertyValue
value: Databricks: 1.0x baseline (integrated ML platform) | Google Cloud Platform (GCP): N/A

Starting Monthly Cost (10GB active data)
type: PropertyValue
value: Databricks: $650 | Google Cloud Platform (GCP): N/A

SQL Query Performance (TPC-DS Benchmark)
type: PropertyValue
value: Databricks: 45 | Google Cloud Platform (GCP): N/A

Native ML Framework Integration
type: PropertyValue
value: Databricks: MLflow + Spark ML | Google Cloud Platform (GCP): N/A

Data Format Lock-in Risk
type: PropertyValue
value: Databricks: Low (open Delta/Iceberg formats) | Google Cloud Platform (GCP): N/A

BI Tool Native Connectors
type: PropertyValue
value: Databricks: 65 | Google Cloud Platform (GCP): N/A

Maximum Concurrent Queries Per Warehouse
type: PropertyValue
value: Databricks: Unlimited (Spark clusters) | Google Cloud Platform (GCP): N/A

Customer Satisfaction Rating (G2 2025)
type: PropertyValue
value: Databricks: 82% | Google Cloud Platform (GCP): N/A

Setup Complexity (1-10 scale)
type: PropertyValue
value: Databricks: 7 | Google Cloud Platform (GCP): 8/10 (requires IAM, VPC, networking knowledge)
value reference: Databricks

Initial Deployment Time
type: PropertyValue
value: Databricks: 0.25 weeks (15 minutes) | Google Cloud Platform (GCP): N/A

Processing Speed (Iterative ML)
type: PropertyValue
value: Databricks: 50-100x faster (Spark + Photon) | Google Cloud Platform (GCP): N/A

SQL Query Latency (100GB dataset)
type: PropertyValue
value: Databricks: 0.5-3 seconds (Photon) | Google Cloud Platform (GCP): N/A

Annual Cost (100TB/year, 5-node baseline)
type: PropertyValue
value: Databricks: $120,000-$180,000 | Google Cloud Platform (GCP): N/A

Native Row/Column-Level Access Control
type: PropertyValue
value: Databricks: Yes (Unity Catalog native) | Google Cloud Platform (GCP): N/A

Cluster Auto-scaling Capability
type: PropertyValue
value: Databricks: Automatic (5-30 min provisioning) | Google Cloud Platform (GCP): N/A

Collaborative Notebooks with Version Control
type: PropertyValue
value: Databricks: Yes (built-in with Git integration) | Google Cloud Platform (GCP): N/A

On-Premises Deployment Option
type: PropertyValue
value: Databricks: No (cloud-only) | Google Cloud Platform (GCP): N/A

Query Latency (1TB dataset scan)
type: PropertyValue
value: Databricks: 8-12 seconds | Google Cloud Platform (GCP): N/A

Setup Time to First Query
type: PropertyValue
value: Databricks: 30-60 minutes (cluster creation) | Google Cloud Platform (GCP): N/A

Compute Cost (1000 compute hours/month)
type: PropertyValue
value: Databricks: $2,400-3,600 (on-demand, m5.large cluster) | Google Cloud Platform (GCP): N/A

Storage Cost per TB/month
type: PropertyValue
value: Databricks: $0.03-0.05/GB ($30-50/TB) | Google Cloud Platform (GCP): N/A

Supported Programming Languages
type: PropertyValue
value: Databricks: SQL, Python, Scala, R, Java (full support) | Google Cloud Platform (GCP): 20+ languages (Python, Go, Java, Node.js, etc.)

MLOps/ML Tooling
type: PropertyValue
value: Databricks: Native MLflow, Feature Store, AutoML, Model Registry | Google Cloud Platform (GCP): N/A

Maximum Query Timeout
type: PropertyValue
value: Databricks: 24 hours (configurable) | Google Cloud Platform (GCP): N/A

SQL Query Speed (relative benchmark)
type: PropertyValue
value: Databricks: 2-5x speedup with Photon | Google Cloud Platform (GCP): N/A

Minimum Setup Time
type: PropertyValue
value: Databricks: 30-45 minutes (cluster setup) | Google Cloud Platform (GCP): N/A

ML/AI Feature Maturity
type: PropertyValue
value: Databricks: 9/10 (native MLflow, AutoML, Feature Store) | Google Cloud Platform (GCP): N/A

Base Compute Cost (per hour)
type: PropertyValue
value: Databricks: $0.40-$1.20 per DBU | Google Cloud Platform (GCP): N/A

Enterprise Customer Adoption
type: PropertyValue
value: Databricks: 18% enterprise market share (2025) | Google Cloud Platform (GCP): N/A

Unstructured Data Support
type: PropertyValue
value: Databricks: Excellent (images, videos, text, PDFs) | Google Cloud Platform (GCP): N/A

Data Sharing Zero-Copy
type: PropertyValue
value: Databricks: Partial (Delta Sharing, emerging) | Google Cloud Platform (GCP): N/A

ETL/ELT Performance (1TB dataset)
type: PropertyValue
value: Databricks: 8-15 minutes (Spark optimized) | Google Cloud Platform (GCP): N/A

Starting Price (Monthly)
type: PropertyValue
value: Databricks: $600 (for 2 DBUs minimum) | Google Cloud Platform (GCP): $300 (for starter tier resources)
value reference: Google Cloud Platform (GCP)

Total Services Available
type: PropertyValue
value: Databricks: 15 integrated services | Google Cloud Platform (GCP): 200+ services across categories
value reference: Google Cloud Platform (GCP)

Apache Spark Performance Improvement
type: PropertyValue
value: Databricks: 10-100x faster with Photon engine | Google Cloud Platform (GCP): Standard Spark speed (baseline)
value reference: Databricks

BigQuery Query Scale
type: PropertyValue
value: Databricks: Not primary strength | Google Cloud Platform (GCP): 50+ PB query capability

Multi-Cloud Support
type: PropertyValue
value: Databricks: 3 clouds (AWS, Azure, GCP) | Google Cloud Platform (GCP): 1 cloud (GCP ecosystem)
value reference: Databricks

ML Model Frameworks Supported
type: PropertyValue
value: Databricks: 10+ (via Mosaic AI and MLflow) | Google Cloud Platform (GCP): 20+ (via Vertex AI)
value reference: Google Cloud Platform (GCP)

Free Tier Data Processing Limit
type: PropertyValue
value: Databricks: 10 GB compute hours free | Google Cloud Platform (GCP): 1 TB BigQuery queries free

Unity Catalog Governance Features
type: PropertyValue
value: Databricks: Data discovery, lineage, access control, PII detection | Google Cloud Platform (GCP): Data Catalog with metadata management

Global Market Share (2026)
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 11%

Total Available Services
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 100+

Global Availability Zones
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 42

Pricing Model Complexity
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 9/10

ML/AI Service Innovation Rating
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 10/10

Hybrid Cloud Support Level
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): Good (Anthos)

Windows/Active Directory Integration
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 3/10

Developer Community Size
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): Growing

Container/Kubernetes Strength
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): Best (GKE native)

BigQuery-Grade Analytics
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): Native (BigQuery)

Global Data Center Locations
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 40+ regions

Uptime SLA
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 99.9% (Cloud DNS)

Global Market Share
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 11%

Service Count
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 100+

Compute Cost (e2-medium equivalent)
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): $0.0298

Data Transfer Out Cost
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): $0.12

ML Training Setup Time
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 2-3 hours (Vertex AI)

BigQuery Query Latency
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 2-5 seconds (BigQuery, 1TB scan)

Enterprise Support Annual Cost
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): $12,500

Kubernetes Integration Complexity
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 3-4 steps (GKE)

Cold Start Latency
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 500-2000ms

Global Edge Locations
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 40+ regions

Integrated Services
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 200+ services

Monthly Free Credits/Tier
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): $300

Pro Plan Cost
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): Variable (usage-based)

BigQuery/Analytics Equivalent Cost
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): $6.25

Compute Instance (2vCPU, 8GB RAM)
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): $65-$78

Oracle Database License Discount
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): No discount

Active Developer Community
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 7.6 million

Autonomous Database Uptime SLA
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 99.95%

AI/ML Model Catalog
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 40+ models in Vertex AI

Cheapest Virtual Machine (Hourly)
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): $0.04/hour ($29.20/month)

Managed Database Types
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 25+ (including Spanner, Firestore, Bigtable)

Free Trial Credits
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): $300 (90 days)

Typical App Deployment Time
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 30-45 minutes

AI/ML Service Maturity
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): Advanced (Vertex AI, AutoML, BigQuery ML)

Kubernetes Container Orchestration
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): Supported (GKE) - industry standard with advanced networking

Average Deployment Time
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 300-900 seconds (App Engine)

Free Tier Compute
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 300 e2-micro hours (App Engine)

Native Database Options
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 8 (SQL, Firestore, Spanner, BigQuery, Datastore, Memorystore, AlloyDB, DynamoDB)

ML/AI Services
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): Vertex AI, TensorFlow, Vision API, NLP API, AutoML (5+ major services)

Compute Price (vCPU/hour)
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): $0.04-0.48 depending on machine type

Regions Available
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 35+ cloud regions worldwide

Entry-Level Compute Cost (Monthly)
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): $19.25/month (e2-micro)

Global Data Centers
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 40+ regions

Free Trial Credit
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): $300

Kubernetes (Managed)
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): GKE (Enterprise-grade, full API support)

Time to Deploy Hello World
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 15-20 minutes

Database Options
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 15+ (Cloud SQL, Firestore, Bigtable, Spanner, Memorystore)

Enterprise Support Starting Price
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): $500/month

Average Global Latency
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): ~75ms

DDoS Protection
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): Limited in standard tier, requires Cloud Armor

Minimum Monthly Cost (Production Setup)
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): $25-50 (1 VM + storage)

Managed Database Services
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 8+ (SQL, NoSQL, Graph, Time-series)

Machine Learning Services
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): Vertex AI, BigQuery ML, TensorFlow, AutoML

Serverless Function Cost (1M executions/month)
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): $4-8 (Cloud Functions)

Kubernetes Support
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): GKE with full managed support

Initial Setup Time
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 2-4 hours (GKE managed)

Base Licensing Cost
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): Starts at $0.31 per cluster/hour

Container Support
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): Docker, Containerd, CRI-O (via GKE)

Vendor Lock-in Risk Level
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): High (proprietary services)

Enterprise Support SLA
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 99.95% SLA guaranteed

Average Cluster Management Time
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 5-10 hours/month (managed GKE)

Multi-cloud Deployment Support
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): GCP only

Entry-Level Compute Instance Cost
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): $25

AI/ML Service Count
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 40+

Global Data Center Regions
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 42

Managed Kubernetes Cluster Cost
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): $73

Dashboard Setup Time (Learning Curve)
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 8

SLA Uptime Guarantee
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 99.95%

BigQuery Analytics Capability
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 100+

Minimum Monthly Cost (Basic VM)
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): $0 (free tier)

Typical Production Compute Cost (2vCPU, 4GB RAM)
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): $60-90/month

Data Egress Cost
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): $0.12/GB

Managed Kubernetes (K8s) Base Cost
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): $73+/month (GKE cluster fee)

Built-in AI/ML Capabilities
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): Full suite (Vertex AI, BigQuery ML, TensorFlow native)

Setup Time for Experienced Dev
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 30-45 minutes

Free Trial/Credits Duration
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 90 days ($300 credits)

Average Latency to End Users
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 50-150ms (varies by region)

DDoS Protection Capacity
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): Included (capacity varies by plan)

Free Tier Availability
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): Limited free tier ($25-$100/month minimum for production)

AI/ML Model Count Available
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 150+ pre-trained models via Vertex AI

Setup Time for Basic Deployment
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 60-120 minutes (includes VPC, IAM, networking)

Cloudflare Market Valuation (2025)
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): Part of Alphabet Inc. (~$2.2 trillion market cap)

Total Services/Products
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 100+

Compute Instance Pricing (on-demand)
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): $0.0396

Global Regions
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 42

BigQuery Query Performance (1TB test)
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 1.8 seconds

Fortune 500 Adoption Rate
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 35%

ML Service Leader
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): Vertex AI (best-in-class)

Free Tier Credit Duration
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 3 months (but $300 credit)

Minimum Monthly Cost (Small Project)
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): $20-50

Serverless Function Cold Start
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 500ms

Geographic Regions Available
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 40 regions

Setup Time (Average)
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 60-120 minutes

Support SLA Uptime
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 99.95%

Free Bandwidth Tier
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 1GB free tier (paid after)

Supported Languages/Runtimes
type: PropertyValue
value: Databricks: N/A | Google Cloud Platform (GCP): 20+ languages (Python, Go, Java, Node, .NET, Ruby, PHP)

SpeakableSpecification
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Databricks — Wikipedia
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Google Cloud Platform (GCP) — Wikipedia
type: CreativeWork

Compare Databricks vs Google Cloud Platform (GCP)
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additional type: CompareAction
target: https://www.aversusb.net/compare/databricks-vs-google-cloud
object: Databricks
object: Google Cloud Platform (GCP)

Initial Setup Time to Production
type: PropertyValue
value reference: Deployment

Processing Speed vs MapReduce Baseline
type: PropertyValue
value reference: Performance

Monthly Cost (100GB monthly data ingestion, 1,000 compute hours)
type: PropertyValue
value reference: Pricing

Required Team Skills (FTE equivalents for operations)
type: PropertyValue
value reference: Operations

SQL Query Standards Compliance
type: PropertyValue
value reference: Features

Query Latency (median, standard ETL workload)
type: PropertyValue
value reference: Performance

Built-in Collaboration Tools (notebooks, dashboards, repos)
type: PropertyValue
value reference: Features

Community Size (GitHub Stars)
type: PropertyValue
value reference: Community

SQL Query Performance (TPC-DS 100TB)
type: PropertyValue
value reference: Performance

Spark Job Acceleration
type: PropertyValue
value reference: Performance

ML Frameworks Supported
type: PropertyValue
value reference: AI/ML Capabilities

Data Governance Granularity
type: PropertyValue
value reference: Security & Governance

Global Region Availability
type: PropertyValue
value reference: Infrastructure

Enterprise Service Count
type: PropertyValue
value reference: Platform Breadth

Starting Monthly Cost (10TB workload)
type: PropertyValue
value reference: Pricing

ACID Transaction Support
type: PropertyValue
value reference: Data Reliability

SQL Query Performance (1TB dataset)
type: PropertyValue
value reference: Performance

Base Monthly Cost (minimum)
type: PropertyValue
value reference: Pricing

Native ML/AI Capabilities
type: PropertyValue
value reference: Features

Data Format Support
type: PropertyValue
value reference: Features

Concurrent Users Support
type: PropertyValue
value reference: Scalability

Data Warehouse Setup Time
type: PropertyValue
value reference: Ease of Use

Global Market Share (2024)
type: PropertyValue
value reference: Market Position

ML Model Training Cost Efficiency
type: PropertyValue
value reference: ML Operations

Starting Monthly Cost (10GB active data)
type: PropertyValue
value reference: Pricing

SQL Query Performance (TPC-DS Benchmark)
type: PropertyValue
value reference: Performance

Native ML Framework Integration
type: PropertyValue
value reference: Capabilities

Data Format Lock-in Risk
type: PropertyValue
value reference: Data Portability

BI Tool Native Connectors
type: PropertyValue
value reference: Integrations

Maximum Concurrent Queries Per Warehouse
type: PropertyValue
value reference: Performance

Customer Satisfaction Rating (G2 2025)
type: PropertyValue
value reference: User Experience

Setup Complexity (1-10 scale)
type: PropertyValue
value reference: Ease of Use

Initial Deployment Time
type: PropertyValue
value reference: Implementation

Processing Speed (Iterative ML)
type: PropertyValue
value reference: Performance

SQL Query Latency (100GB dataset)
type: PropertyValue
value reference: Performance

Annual Cost (100TB/year, 5-node baseline)
type: PropertyValue
value reference: Cost

Native Row/Column-Level Access Control
type: PropertyValue
value reference: Governance

Cluster Auto-scaling Capability
type: PropertyValue
value reference: Operations

Collaborative Notebooks with Version Control
type: PropertyValue
value reference: Collaboration

On-Premises Deployment Option
type: PropertyValue
value reference: Deployment

Query Latency (1TB dataset scan)
type: PropertyValue
value reference: Performance

Setup Time to First Query
type: PropertyValue
value reference: Developer Experience

Compute Cost (1000 compute hours/month)
type: PropertyValue
value reference: Pricing

Storage Cost per TB/month
type: PropertyValue
value reference: Pricing

Supported Programming Languages
type: PropertyValue
value reference: Compatibility

MLOps/ML Tooling
type: PropertyValue
value reference: Features

Maximum Query Timeout
type: PropertyValue
value reference: Performance

SQL Query Speed (relative benchmark)
type: PropertyValue
value reference: Performance

Minimum Setup Time
type: PropertyValue
value reference: Developer Experience

ML/AI Feature Maturity
type: PropertyValue
value reference: Capabilities

Base Compute Cost (per hour)
type: PropertyValue
value reference: Pricing

Enterprise Customer Adoption
type: PropertyValue
value reference: Market Position

Unstructured Data Support
type: PropertyValue
value reference: Data Types

Data Sharing Zero-Copy
type: PropertyValue
value reference: Collaboration

ETL/ELT Performance (1TB dataset)
type: PropertyValue
value reference: Performance

Starting Price (Monthly)
type: PropertyValue
value reference: Pricing

Total Services Available
type: PropertyValue
value reference: Breadth

Apache Spark Performance Improvement
type: PropertyValue
value reference: Performance

BigQuery Query Scale
type: PropertyValue
value reference: Analytics

Multi-Cloud Support
type: PropertyValue
value reference: Infrastructure

ML Model Frameworks Supported
type: PropertyValue
value reference: AI/ML

Free Tier Data Processing Limit
type: PropertyValue
value reference: Free Tier

Unity Catalog Governance Features
type: PropertyValue
value reference: Data Governance

Global Market Share (2026)
type: PropertyValue
value reference: Market Position

Total Available Services
type: PropertyValue
value reference: Platform

Global Availability Zones
type: PropertyValue
value reference: Infrastructure

Pricing Model Complexity
type: PropertyValue
value reference: Pricing

ML/AI Service Innovation Rating
type: PropertyValue
value reference: AI & Analytics

Hybrid Cloud Support Level
type: PropertyValue
value reference: Enterprise Features

Windows/Active Directory Integration
type: PropertyValue
value reference: Enterprise Integration

Developer Community Size
type: PropertyValue
value reference: Support

Container/Kubernetes Strength
type: PropertyValue
value reference: Container Tech

BigQuery-Grade Analytics
type: PropertyValue
value reference: Data Analytics

Global Data Center Locations
type: PropertyValue
value reference: Infrastructure

Uptime SLA
type: PropertyValue
value reference: Reliability

Global Market Share
type: PropertyValue
value reference: Market Position

Service Count
type: PropertyValue
value reference: Platform Scope

Compute Cost (e2-medium equivalent)
type: PropertyValue
value reference: Pricing

Data Transfer Out Cost
type: PropertyValue
value reference: Pricing

ML Training Setup Time
type: PropertyValue
value reference: Developer Experience

BigQuery Query Latency
type: PropertyValue
value reference: Analytics Performance

Enterprise Support Annual Cost
type: PropertyValue
value reference: Support & Pricing

Kubernetes Integration Complexity
type: PropertyValue
value reference: Developer Experience

Cold Start Latency
type: PropertyValue
value reference: Performance

Global Edge Locations
type: PropertyValue
value reference: Infrastructure

Integrated Services
type: PropertyValue
value reference: Features

Monthly Free Credits/Tier
type: PropertyValue
value reference: Pricing

Pro Plan Cost
type: PropertyValue
value reference: Pricing & Usage

BigQuery/Analytics Equivalent Cost
type: PropertyValue
value reference: Pricing

Compute Instance (2vCPU, 8GB RAM)
type: PropertyValue
value reference: Pricing

Oracle Database License Discount
type: PropertyValue
value reference: Pricing

Active Developer Community
type: PropertyValue
value reference: Community

Autonomous Database Uptime SLA
type: PropertyValue
value reference: Performance

AI/ML Model Catalog
type: PropertyValue
value reference: AI/ML

Cheapest Virtual Machine (Hourly)
type: PropertyValue
value reference: Pricing

Managed Database Types
type: PropertyValue
value reference: Features

Free Trial Credits
type: PropertyValue
value reference: Onboarding

Typical App Deployment Time
type: PropertyValue
value reference: User Experience

AI/ML Service Maturity
type: PropertyValue
value reference: Advanced Features

Kubernetes Container Orchestration
type: PropertyValue
value reference: DevOps

Average Deployment Time
type: PropertyValue
value reference: Performance

Free Tier Compute
type: PropertyValue
value reference: Pricing

Native Database Options
type: PropertyValue
value reference: Infrastructure

ML/AI Services
type: PropertyValue
value reference: Features

Compute Price (vCPU/hour)
type: PropertyValue
value reference: Pricing

Regions Available
type: PropertyValue
value reference: Infrastructure

Entry-Level Compute Cost (Monthly)
type: PropertyValue
value reference: Pricing

Global Data Centers
type: PropertyValue
value reference: Infrastructure

Free Trial Credit
type: PropertyValue
value reference: Onboarding

Kubernetes (Managed)
type: PropertyValue
value reference: Features

Time to Deploy Hello World
type: PropertyValue
value reference: Developer Experience

Database Options
type: PropertyValue
value reference: Features

Enterprise Support Starting Price
type: PropertyValue
value reference: Support

Average Global Latency
type: PropertyValue
value reference: Performance

DDoS Protection
type: PropertyValue
value reference: Security

Minimum Monthly Cost (Production Setup)
type: PropertyValue
value reference: Pricing

Managed Database Services
type: PropertyValue
value reference: Data

Machine Learning Services
type: PropertyValue
value reference: Advanced Features

Serverless Function Cost (1M executions/month)
type: PropertyValue
value reference: Compute Pricing

Kubernetes Support
type: PropertyValue
value reference: Container Orchestration

Initial Setup Time
type: PropertyValue
value reference: User Experience

Base Licensing Cost
type: PropertyValue
value reference: Cost

Container Support
type: PropertyValue
value reference: Compatibility

Vendor Lock-in Risk Level
type: PropertyValue
value reference: Strategic

Enterprise Support SLA
type: PropertyValue
value reference: Support

Average Cluster Management Time
type: PropertyValue
value reference: Operational Efficiency

Multi-cloud Deployment Support
type: PropertyValue
value reference: Architecture

Entry-Level Compute Instance Cost
type: PropertyValue
value reference: Pricing

AI/ML Service Count
type: PropertyValue
value reference: Features

Global Data Center Regions
type: PropertyValue
value reference: Infrastructure

Managed Kubernetes Cluster Cost
type: PropertyValue
value reference: Pricing

Dashboard Setup Time (Learning Curve)
type: PropertyValue
value reference: Usability

SLA Uptime Guarantee
type: PropertyValue
value reference: Reliability

BigQuery Analytics Capability
type: PropertyValue
value reference: Features

Minimum Monthly Cost (Basic VM)
type: PropertyValue
value reference: Pricing

Typical Production Compute Cost (2vCPU, 4GB RAM)
type: PropertyValue
value reference: Pricing

Data Egress Cost
type: PropertyValue
value reference: Pricing

Managed Kubernetes (K8s) Base Cost
type: PropertyValue
value reference: Services

Built-in AI/ML Capabilities
type: PropertyValue
value reference: Services

Setup Time for Experienced Dev
type: PropertyValue
value reference: Usability

Free Trial/Credits Duration
type: PropertyValue
value reference: Onboarding

Average Latency to End Users
type: PropertyValue
value reference: Performance

DDoS Protection Capacity
type: PropertyValue
value reference: Security

Free Tier Availability
type: PropertyValue
value reference: Pricing

AI/ML Model Count Available
type: PropertyValue
value reference: AI & Machine Learning

Setup Time for Basic Deployment
type: PropertyValue
value reference: Ease of Use

Cloudflare Market Valuation (2025)
type: PropertyValue
value reference: Company Scale

Total Services/Products
type: PropertyValue
value reference: Breadth

Compute Instance Pricing (on-demand)
type: PropertyValue
value reference: Cost

Global Regions
type: PropertyValue
value reference: Infrastructure

BigQuery Query Performance (1TB test)
type: PropertyValue
value reference: Analytics

Fortune 500 Adoption Rate
type: PropertyValue
value reference: Enterprise

ML Service Leader
type: PropertyValue
value reference: AI/ML

Free Tier Credit Duration
type: PropertyValue
value reference: Cost

Minimum Monthly Cost (Small Project)
type: PropertyValue
value reference: Pricing

Serverless Function Cold Start
type: PropertyValue
value reference: Performance

Geographic Regions Available
type: PropertyValue
value reference: Infrastructure

Setup Time (Average)
type: PropertyValue
value reference: Developer Experience

Support SLA Uptime
type: PropertyValue
value reference: Reliability

Free Bandwidth Tier
type: PropertyValue
value reference: Pricing

Supported Languages/Runtimes
type: PropertyValue
value reference: Developer Experience