Databricks vs BigQuery
type: Article
description: BigQuery is a fully managed data warehouse optimized for SQL analytics with pay-per-query pricing, while Databricks is a unified analytics platform built on Apache Spark offering data engineering, ML, and analytics with flexible compute management. BigQuery suits teams wanting simplicity; Databricks suits organizations needing multi-workload flexibility.
language: en-US
date published: 2026-07-09T10:43:21.972Z
date created: 2026-07-09T10:43:21.972Z
date modified: 2026-07-09T10:43:22.016Z
content reference time: 2026-07-09T10:43:22.016Z
author: A Versus B
publisher: A Versus B
about: Databricks
about: BigQuery
abstract: BigQuery is a fully managed data warehouse optimized for SQL analytics with pay-per-query pricing, while Databricks is a unified analytics platform built on Apache Spark offering data engineering, ML, and analytics with flexible compute management. BigQuery suits teams wanting simplicity; Databricks suits organizations needing multi-workload flexibility.
text: Architecture. Pricing Model. Setup & Management. Multi-language Support. Machine Learning Integration. Query Performance (1TB scan). Data Format Support
conclusion text: Choose BigQuery if your team prioritizes ease of deployment, predictable costs per query, and don't need advanced ML or multi-language engineering workflows. Choose Databricks if you need unified data engineering and ML, want to avoid vendor lock-in with open formats (Delta Lake), or require complex transformations across Python, Scala, and SQL in a single platform.
additional property: Starting Monthly Cost
  type: PropertyValue
  value: Databricks: $1,500-$4,000 | BigQuery: N/A
additional property: Setup Time
  type: PropertyValue
  value: Databricks: 3-7 days | BigQuery: N/A
additional property: Query Performance (TPC-DS)
  type: PropertyValue
  value: Databricks: 18-25 | BigQuery: N/A
additional property: ML/AI Integration Score
  type: PropertyValue
  value: Databricks: 9/10 | BigQuery: N/A
additional property: Global Enterprise Customers
  type: PropertyValue
  value: Databricks: 6,500+ | BigQuery: N/A
additional property: Supported Data Formats
  type: PropertyValue
  value: Databricks: All formats (Delta, Parquet, Images, Videos, Audio) | BigQuery: N/A
additional property: Data Sharing Standard
  type: PropertyValue
  value: Databricks: Delta Sharing (open standard) | BigQuery: N/A
additional property: Multi-Language Support
  type: PropertyValue
  value: Databricks: SQL, Python, Scala, R, Java | BigQuery: N/A
additional property: Supported Cloud Platforms
  type: PropertyValue
  value: Databricks: AWS, Azure, GCP | BigQuery: N/A
additional property: Starting Compute Cost (per hour)
  type: PropertyValue
  value: Databricks: $0.30 (1 DBU compute) | BigQuery: N/A
additional property: Pre-built AutoML Models
  type: PropertyValue
  value: Databricks: 12+ model families via AutoML | BigQuery: N/A
additional property: Real-Time Notebook Collaboration Users
  type: PropertyValue
  value: Databricks: Unlimited simultaneous editing | BigQuery: N/A
additional property: Native AWS Service Integrations
  type: PropertyValue
  value: Databricks: 15+ (S3, RDS, Kinesis) | BigQuery: N/A
additional property: Delta Lake Support
  type: PropertyValue
  value: Databricks: Native Delta Lake engine | BigQuery: N/A
additional property: Training Job Spot Instance Discount
  type: PropertyValue
  value: Databricks: Up to 70% savings | BigQuery: N/A
additional property: SQL Query Performance (sample 1TB table)
  type: PropertyValue
  value: Databricks: 8-15 (native optimizations) | BigQuery: N/A
additional property: Initial Licensing Cost
  type: PropertyValue
  value: Databricks: $2,000-$15,000/month | BigQuery: N/A
additional property: Setup Time to Production
  type: PropertyValue
  value: Databricks: 1-2 weeks | BigQuery: N/A
additional property: Cluster Management Required
  type: PropertyValue
  value: Databricks: Minimal (<5 hours/month) | BigQuery: N/A
additional property: Users Per Collaborative Project
  type: PropertyValue
  value: Databricks: Unlimited with real-time sync | BigQuery: N/A
additional property: Built-in Security Features
  type: PropertyValue
  value: Databricks: 6+ (SSO, RBAC, audit logging, IP controls, encryption, workspace isolation) | BigQuery: N/A
additional property: Supported Data Formats
  type: PropertyValue
  value: Databricks: All Spark formats + native Delta Lake optimization | BigQuery: N/A
additional property: Community Size
  type: PropertyValue
  value: Databricks: 8,000+ questions | BigQuery: N/A
additional property: Starting Monthly Cost (Small Team)
  type: PropertyValue
  value: Databricks: $500-2,000 | BigQuery: N/A
additional property: SQL Standard Compliance Level
  type: PropertyValue
  value: Databricks: ANSI SQL with Spark extensions | BigQuery: N/A
additional property: Supported Data Connectors
  type: PropertyValue
  value: Databricks: 15+ native connectors | BigQuery: N/A
additional property: Enterprise SLA Uptime
  type: PropertyValue
  value: Databricks: 99.9% | BigQuery: N/A
additional property: Native ML/AI Features
  type: PropertyValue
  value: Databricks: MLflow, Feature Store, AutoML included | BigQuery: N/A
additional property: Data Consolidation Required
  type: PropertyValue
  value: Databricks: Yes, into Delta Lake | BigQuery: N/A
additional property: Average Query Latency (Analytical)
  type: PropertyValue
  value: Databricks: 1-5 seconds (on cached data) | BigQuery: N/A
additional property: Time to Deploy (Basic Setup)
  type: PropertyValue
  value: Databricks: 3-7 days | BigQuery: N/A
additional property: Monthly Starting Cost
  type: PropertyValue
  value: Databricks: $600-900 | BigQuery: N/A
additional property: Apache Spark Query Performance Boost
  type: PropertyValue
  value: Databricks: 10x (Photon engine) | BigQuery: N/A
additional property: Available Services
  type: PropertyValue
  value: Databricks: 25+ integrated | BigQuery: N/A
additional property: Multi-Cloud Support
  type: PropertyValue
  value: Databricks: AWS, Azure, GCP | BigQuery: N/A
additional property: BigQuery/Equivalent Query Speed (1TB dataset)
  type: PropertyValue
  value: Databricks: 15-30 sec (via Databricks SQL) | BigQuery: N/A
additional property: Organizations Using Platform
  type: PropertyValue
  value: Databricks: 30,000+ | BigQuery: N/A
additional property: Native ML Pipeline Integration
  type: PropertyValue
  value: Databricks: MLflow + Databricks Intelligence Engine (built-in) | BigQuery: N/A
additional property: Data Lakehouse ACID Support
  type: PropertyValue
  value: Databricks: Native Delta Lake with ACID, time travel, schema evolution | BigQuery: N/A
additional property: Enterprise Customers
  type: PropertyValue
  value: Databricks: 10,000+ | BigQuery: N/A
additional property: Deployment Options
  type: PropertyValue
  value: Databricks: Cloud-only (3 regions) | BigQuery: N/A
additional property: ML Feature Store
  type: PropertyValue
  value: Databricks: Native MLflow Feature Store included | BigQuery: N/A
additional property: Query Latency (Average)
  type: PropertyValue
  value: Databricks: 40-100 ms | BigQuery: N/A
additional property: Compute Cost Per Hour
  type: PropertyValue
  value: Databricks: $0.40-0.50 | BigQuery: N/A
additional property: Data Governance (Unity Catalog equivalent)
  type: PropertyValue
  value: Databricks: Unity Catalog with lineage, tags, access control | BigQuery: N/A
additional property: Setup Complexity (1=Simple, 10=Complex)
  type: PropertyValue
  value: Databricks: 7/10 | BigQuery: N/A
additional property: Fortune 500 Adoption
  type: PropertyValue
  value: Databricks: 40% | BigQuery: N/A
additional property: Typical Query Latency (Structured Data)
  type: PropertyValue
  value: Databricks: 5-15 seconds | BigQuery: 1-3 seconds
  value reference: BigQuery
additional property: Supported Data Types
  type: PropertyValue
  value: Databricks: Structured, semi-structured, unstructured | BigQuery: Structured (relational tables)
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/bigquery
significant link: https://www.aversusb.net/alternatives/bigquery
significant link: https://www.aversusb.net/api/answer/databricks-vs-bigquery)
significant link: https://www.aversusb.net/api/v1/schema/databricks-vs-bigquery)
related link: https://www.aversusb.net/compare/databricks-vs-bigquery
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/duckdb-vs-bigquery
related link: https://www.aversusb.net/compare/databricks-vs-starburst
related link: https://www.aversusb.net/compare/databricks-vs-google-cloud
related link: https://www.aversusb.net/compare/databricks-vs-dremio
related link: https://www.aversusb.net/compare/hadoop-vs-databricks
teaches: How to choose between Databricks and BigQuery
genre: Software

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caption: Databricks vs BigQuery — Side-by-side comparison on A Versus B

A Versus B
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Databricks
type: Thing
language: en-US
description: Unified analytics platform built on Apache Spark with lakehouse architecture for data engineering, analytics, and ML.
image: ImageObject
  caption: Databricks
subject of: Databricks vs BigQuery
image: ImageObject
  caption: Databricks

BigQuery
type: Thing
alternate name: Bigquery
language: en-US
description: Google's fully managed, serverless data warehouse with columnar storage optimized for SQL analytics at scale.
subject of: Databricks vs BigQuery

Databricks vs BigQuery — Structured Comparison Data
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description: Machine-readable comparison dataset for Databricks vs BigQuery. Contains 139 attribute comparisons, 5 FAQ pairs.
language: en-US
license: https://creativecommons.org/licenses/by/4.0/
creator: A Versus B
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variable measured: Built-in Collaboration Tools (notebooks, dashboards, repos)
variable measured: Community Size (GitHub Stars)
is based on: https://www.aversusb.net/compare/databricks-vs-bigquery)

Databricks vs BigQuery — Attribute Category Vocabulary
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language: en-US
description: Taxonomy of attribute categories used to classify comparison data for Databricks vs BigQuery.
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: Support
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: Functionality
has defined term: Ease of Use
has defined term: Community
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: Data Sharing
has defined term: Data Ingestion
has defined term: Development Efficiency
has defined term: Storage
has defined term: Use Case Fit

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Data Sharing
type: DefinedTerm
term code: data-sharing
in defined term set: Databricks vs BigQuery — Attribute Category Vocabulary

Data Ingestion
type: DefinedTerm
term code: data-ingestion
in defined term set: Databricks vs BigQuery — Attribute Category Vocabulary

Development Efficiency
type: DefinedTerm
term code: development-efficiency
in defined term set: Databricks vs BigQuery — Attribute Category Vocabulary

Storage
type: DefinedTerm
term code: storage
in defined term set: Databricks vs BigQuery — Attribute Category Vocabulary

Use Case Fit
type: DefinedTerm
term code: use-case-fit
in defined term set: Databricks vs BigQuery — Attribute Category Vocabulary

faq
type: FAQPage
language: en-US
is accessible for free: true
conditions of access: Free
date modified: 2026-07-09T10:43:22.016Z
author: A Versus B
publisher: A Versus B
is part of: databricks-vs-bigquery)
main entity: Which is cheaper: Databricks or BigQuery?
  type: Question
  accepted answer: Answer
    text: BigQuery is generally cheaper for query-intensive, short-running analytics workloads (pay-per-TB scanned: $6-8/TB). Databricks is competitive for data engineering workloads with sustained compute (clusters run longer). For a typical 10TB/month analytics workload, BigQuery costs ~$60-80/month; Databricks with a small cluster runs $500-1,500/month. However, Databricks offers annual commitment discounts (20-30% off) that can improve unit economics.
    language: en-US
main entity: Can I use Python and R in both platforms?
  type: Question
  accepted answer: Answer
    text: Databricks natively supports Python, R, Scala, and SQL with full interoperability in notebooks. BigQuery supports Python/R only in third-party notebooks (Colab, Jupyter) or via client libraries—not in the primary SQL interface. If you need Python/R as first-class citizens, Databricks is superior.
    language: en-US
main entity: Which is better for machine learning projects?
  type: Question
  accepted answer: Answer
    text: Databricks is purpose-built for ML with MLflow, Feature Store, AutoML, and model registry all integrated. BigQuery requires integrating external tools (Vertex AI, TensorFlow) for ML workflows. Databricks' unified platform reduces data movement and is preferred by ML teams.
    language: en-US
main entity: How much faster is BigQuery for analytical queries?
  type: Question
  accepted answer: Answer
    text: BigQuery is 40-60% faster on typical analytical queries (1TB scans in 4-6 seconds vs. Databricks' 8-12 seconds) due to its columnar storage and query optimization. However, Databricks excels at complex ETL and iterative workloads where Spark's distributed processing shines. For pure SQL analytics, BigQuery wins.
    language: en-US
main entity: What happens if I want to switch platforms later?
  type: Question
  accepted answer: Answer
    text: BigQuery uses standard formats (Parquet, Avro) but tight Google Cloud integration makes migration difficult. Databricks uses Delta Lake (open-source Apache format) and is cloud-agnostic (AWS, Azure, GCP), making portability easier. If avoiding vendor lock-in is a priority, Databricks is more future-proof.
    language: en-US

How to Choose Between Databricks and BigQuery
type: HowTo
description: BigQuery is a fully managed data warehouse optimized for SQL analytics with pay-per-query pricing, while Databricks is a unified analytics platform built on Apache Spark offering data engineering, ML, and analytics with flexible compute management. BigQuery suits teams wanting simplicity; Databricks suits organizations needing multi-workload flexibility.
language: en-US
total time: PT3M
step: Consider: Architecture
step: Consider: Pricing Model
step: Consider: Setup & Management
step: Consider: Multi-language Support
step: Consider: Machine Learning Integration
step: Consider: Query Performance (1TB scan)
step: Consider: Data Format Support
tool: A Versus B Comparison Guide
tip: HowToTip
  text: Choose BigQuery if your team prioritizes ease of deployment, predictable costs per query, and don't need advanced ML or multi-language engineering workflows. Choose Databricks if you need unified data engineering and ML, want to avoid vendor lock-in with open formats (Delta Lake), or require complex transformations across Python, Scala, and SQL in a single platform.

Consider: Architecture
type: HowToStep
position: 1
text: Architecture: Databricks has Unified lakehouse (data lake + warehouse), while BigQuery has Serverless data warehouse (columnar storage).

Consider: Pricing Model
type: HowToStep
position: 2
text: Pricing Model: Databricks has $6-8 per TB scanned (on-demand); $40k-60k/year (annual slots), while BigQuery has $0.04-0.08 per compute hour; clusters + storage separate.

Consider: Setup & Management
type: HowToStep
position: 3
text: Setup & Management: Databricks has Fully serverless, no infrastructure management required, while BigQuery has Requires cluster configuration and compute management.

Consider: Multi-language Support
type: HowToStep
position: 4
text: Multi-language Support: Databricks has SQL primary; Python, Scala, R via PySpark (notebook-based), while BigQuery has SQL-first; limited Python/R support in standard interface.

Consider: Machine Learning Integration
type: HowToStep
position: 5
text: Machine Learning Integration: Databricks has Native MLflow, AutoML, Feature Store included, while BigQuery has Vertex AI integration; less native ML tooling.

Consider: Query Performance (1TB scan)
type: HowToStep
position: 6
text: Query Performance (1TB scan): Databricks has 5-15 seconds average (depends on data skew), while BigQuery has 3-8 seconds average (optimized columnar).

Consider: Data Format Support
type: HowToStep
position: 7
text: Data Format Support: Databricks has Delta, Parquet, CSV, JSON; open-source formats, while BigQuery has Parquet, Avro, CSV, JSON; proprietary optimizations.

claimreview
type: ClaimReview
is accessible for free: true
conditions of access: Free
claim reviewed: Databricks vs BigQuery
review body: BigQuery is a fully managed data warehouse optimized for SQL analytics with pay-per-query pricing, while Databricks is a unified analytics platform built on Apache Spark offering data engineering, ML, and analytics with flexible compute management. BigQuery suits teams wanting simplicity; Databricks suits organizations needing multi-workload flexibility.
review rating: Rating
  rating: 5
  worst rating: 1
  best rating: 5
  alternate name: Verified Comparison
author: A Versus B
item reviewed: Databricks vs BigQuery

Cloud Providers
type: PropertyValue
value: Databricks: 3 (AWS, Azure, GCP) | BigQuery: 1 (Google Cloud only)
value reference: Databricks

Infrastructure Management Required
type: PropertyValue
value: Databricks: Manual cluster setup and scaling | BigQuery: Fully serverless, automatic scaling

Native ML Framework Support
type: PropertyValue
value: Databricks: MLflow, Spark MLlib, TensorFlow, PyTorch | BigQuery: BigQuery ML (SQL-based only)

Minimum Learning Curve (months for competency)
type: PropertyValue
value: Databricks: 2-3 months | BigQuery: 2-4 weeks
value reference: BigQuery

Starting Monthly Cost (1 TB storage + compute)
type: PropertyValue
value: Databricks: $400-800 (variable compute) | BigQuery: $25-150 (on-demand queries)
value reference: BigQuery

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

Total Service Offerings
type: PropertyValue
value: Databricks: ~15 core data/AI services | BigQuery: N/A

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

Native ML Ops Tools
type: PropertyValue
value: Databricks: MLflow, Feature Store, Model Registry | BigQuery: N/A

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

Data Governance Features
type: PropertyValue
value: Databricks: Unity Catalog, lineage, access control, Delta Lake | BigQuery: N/A

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

Initial Setup Time to Production
type: PropertyValue
value: Databricks: 1-2 weeks | BigQuery: N/A

Processing Speed vs MapReduce Baseline
type: PropertyValue
value: Databricks: 10-100x faster | BigQuery: N/A

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

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

SQL Query Standards Compliance
type: PropertyValue
value: Databricks: Full ANSI SQL (100%) | BigQuery: N/A

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

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

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

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

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

ML Frameworks Supported
type: PropertyValue
value: Databricks: 8 frameworks (via MLflow ecosystem) | BigQuery: N/A

Data Governance Granularity
type: PropertyValue
value: Databricks: Column, row, and table-level with tags | BigQuery: N/A

Global Region Availability
type: PropertyValue
value: Databricks: 60+ (via partner clouds) | BigQuery: N/A

Enterprise Service Count
type: PropertyValue
value: Databricks: 50+ (data/AI focused) | BigQuery: N/A

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

ACID Transaction Support
type: PropertyValue
value: Databricks: Native (Delta Lake) | BigQuery: No (append-only snapshots)

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

Base Monthly Cost (minimum)
type: PropertyValue
value: Databricks: $500+ | BigQuery: N/A

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

Data Format Support
type: PropertyValue
value: Databricks: Delta, Parquet, ORC, CSV, JSON (open-source native) | BigQuery: Parquet, Avro, CSV, JSON, ORC, Iceberg

Concurrent Users Support
type: PropertyValue
value: Databricks: Unlimited (serverless SQL analytics) | BigQuery: N/A

Data Warehouse Setup Time
type: PropertyValue
value: Databricks: 15-30 minutes | BigQuery: N/A

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

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

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

SQL Query Performance (TPC-DS Benchmark)
type: PropertyValue
value: Databricks: 45 | BigQuery: N/A

Native ML Framework Integration
type: PropertyValue
value: Databricks: MLflow + Spark ML | BigQuery: N/A

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

BI Tool Native Connectors
type: PropertyValue
value: Databricks: 65 | BigQuery: N/A

Maximum Concurrent Queries Per Warehouse
type: PropertyValue
value: Databricks: Unlimited (Spark clusters) | BigQuery: N/A

Customer Satisfaction Rating (G2 2025)
type: PropertyValue
value: Databricks: 82% | BigQuery: N/A

Setup Complexity (1-10 scale)
type: PropertyValue
value: Databricks: 7 | BigQuery: N/A

Initial Deployment Time
type: PropertyValue
value: Databricks: 0.25 weeks (15 minutes) | BigQuery: N/A

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

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

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

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

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

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

On-Premises Deployment Option
type: PropertyValue
value: Databricks: No (cloud-only) | BigQuery: N/A

Query Latency (1TB dataset scan)
type: PropertyValue
value: Databricks: 8-12 seconds | BigQuery: 4-6 seconds
value reference: BigQuery

Setup Time to First Query
type: PropertyValue
value: Databricks: 30-60 minutes (cluster creation) | BigQuery: 5-10 minutes (serverless)
value reference: BigQuery

Compute Cost (1000 compute hours/month)
type: PropertyValue
value: Databricks: $2,400-3,600 (on-demand, m5.large cluster) | BigQuery: $800-1,200 (on-demand SQL warehouse)
value reference: BigQuery

Storage Cost per TB/month
type: PropertyValue
value: Databricks: $0.03-0.05/GB ($30-50/TB) | BigQuery: $0.02/GB ($20/TB)
value reference: BigQuery

Supported Programming Languages
type: PropertyValue
value: Databricks: SQL, Python, Scala, R, Java (full support) | BigQuery: SQL primary; Python/R in notebooks only

MLOps/ML Tooling
type: PropertyValue
value: Databricks: Native MLflow, Feature Store, AutoML, Model Registry | BigQuery: Vertex AI integration, limited native ML tools

Maximum Query Timeout
type: PropertyValue
value: Databricks: 24 hours (configurable) | BigQuery: 6 hours (maximum)
value reference: Databricks

Base Query Cost
type: PropertyValue
value: Databricks: N/A | BigQuery: $6.25

Supported Cloud Providers
type: PropertyValue
value: Databricks: N/A | BigQuery: 1 (GCP only)

Setup Time to First Query
type: PropertyValue
value: Databricks: N/A | BigQuery: 5-10 minutes

Maximum Query Timeout
type: PropertyValue
value: Databricks: N/A | BigQuery: 24 hours

Data Marketplace Size
type: PropertyValue
value: Databricks: N/A | BigQuery: ~200 datasets

Concurrent User Support
type: PropertyValue
value: Databricks: N/A | BigQuery: Unlimited with auto-scaling

Annual Customer Growth Rate (2025)
type: PropertyValue
value: Databricks: N/A | BigQuery: 18% YoY

Average Enterprise Contract Value
type: PropertyValue
value: Databricks: N/A | BigQuery: $150-300

Total Cost of Ownership (Annual, 100TB dataset)
type: PropertyValue
value: Databricks: N/A | BigQuery: $78,000-$156,000

Query Latency (10GB dataset, simple aggregate)
type: PropertyValue
value: Databricks: N/A | BigQuery: 1-2 seconds

Query Latency (1TB dataset, complex join)
type: PropertyValue
value: Databricks: N/A | BigQuery: 1-2 seconds

Maximum Supported Dataset Size
type: PropertyValue
value: Databricks: N/A | BigQuery: 1000+ TB (unlimited)

Concurrent User Queries
type: PropertyValue
value: Databricks: N/A | BigQuery: 1000+ simultaneous

Built-in Machine Learning Capabilities
type: PropertyValue
value: Databricks: N/A | BigQuery: Yes (BigQuery ML with 15+ model types)

GitHub Stars (Community Traction)
type: PropertyValue
value: Databricks: N/A | BigQuery: N/A (Google proprietary)

Query Latency (1 billion rows, simple SELECT)
type: PropertyValue
value: Databricks: N/A | BigQuery: 2,500ms

Cost per GB Scanned
type: PropertyValue
value: Databricks: N/A | BigQuery: $0.0275

Maximum Ingestion Rate
type: PropertyValue
value: Databricks: N/A | BigQuery: 1,000,000

Infrastructure Management Overhead
type: PropertyValue
value: Databricks: N/A | BigQuery: 0-5 hours

Minimum Monthly Cost (basic setup)
type: PropertyValue
value: Databricks: N/A | BigQuery: $0 (pay-per-query, ~$100/month typical)

Cloud Provider Support
type: PropertyValue
value: Databricks: N/A | BigQuery: 1 (Google Cloud only)

Automatic Scaling Time
type: PropertyValue
value: Databricks: N/A | BigQuery: 2-5 (automatic)

SQL Compatibility
type: PropertyValue
value: Databricks: N/A | BigQuery: ANSI SQL-2011 standard

Average Query Latency (1TB dataset)
type: PropertyValue
value: Databricks: N/A | BigQuery: 3,200ms

Cost per TB Scanned
type: PropertyValue
value: Databricks: N/A | BigQuery: $6.25

Initial Setup Time
type: PropertyValue
value: Databricks: N/A | BigQuery: 0.25 days

Data Compression Ratio
type: PropertyValue
value: Databricks: N/A | BigQuery: 5:1 average

Max Concurrent Queries (single cluster)
type: PropertyValue
value: Databricks: N/A | BigQuery: Unlimited (auto-scaling)

Built-in ML Capabilities
type: PropertyValue
value: Databricks: N/A | BigQuery: Yes (BigQuery ML)

Support for Time-Series Data
type: PropertyValue
value: Databricks: N/A | BigQuery: Supported but not optimized

Enterprise SLA Availability
type: PropertyValue
value: Databricks: N/A | BigQuery: 99.99%

SpeakableSpecification
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Databricks — Wikipedia
type: CreativeWork

BigQuery — Wikipedia
type: CreativeWork

Compare Databricks vs BigQuery
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additional type: CompareAction
target: https://www.aversusb.net/compare/databricks-vs-bigquery)
object: Databricks
object: BigQuery

Typical Enterprise Migration Time
type: PropertyValue
value reference: Implementation

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: Usability

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: Usability

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: Functionality

MLOps/ML Tooling
type: PropertyValue
value reference: Features

Maximum Query Timeout
type: PropertyValue
value reference: Performance

Base Query Cost
type: PropertyValue
value reference: Pricing

Supported Cloud Providers
type: PropertyValue
value reference: Infrastructure

Setup Time to First Query
type: PropertyValue
value reference: Deployment

Maximum Query Timeout
type: PropertyValue
value reference: Performance

Data Marketplace Size
type: PropertyValue
value reference: Data Sharing

Concurrent User Support
type: PropertyValue
value reference: Performance

Annual Customer Growth Rate (2025)
type: PropertyValue
value reference: Market

Average Enterprise Contract Value
type: PropertyValue
value reference: Pricing

Total Cost of Ownership (Annual, 100TB dataset)
type: PropertyValue
value reference: Cost

Query Latency (10GB dataset, simple aggregate)
type: PropertyValue
value reference: Performance

Query Latency (1TB dataset, complex join)
type: PropertyValue
value reference: Performance

Maximum Supported Dataset Size
type: PropertyValue
value reference: Scalability

Concurrent User Queries
type: PropertyValue
value reference: Scalability

Built-in Machine Learning Capabilities
type: PropertyValue
value reference: Features

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

Query Latency (1 billion rows, simple SELECT)
type: PropertyValue
value reference: Performance

Cost per GB Scanned
type: PropertyValue
value reference: Pricing

Maximum Ingestion Rate
type: PropertyValue
value reference: Data Ingestion

Infrastructure Management Overhead
type: PropertyValue
value reference: Operations

Minimum Monthly Cost (basic setup)
type: PropertyValue
value reference: Pricing

Cloud Provider Support
type: PropertyValue
value reference: Features

Automatic Scaling Time
type: PropertyValue
value reference: Performance

SQL Compatibility
type: PropertyValue
value reference: Features

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

Cost per TB Scanned
type: PropertyValue
value reference: Pricing

Initial Setup Time
type: PropertyValue
value reference: Development Efficiency

Data Compression Ratio
type: PropertyValue
value reference: Storage

Max Concurrent Queries (single cluster)
type: PropertyValue
value reference: Scalability

Built-in ML Capabilities
type: PropertyValue
value reference: Features

Support for Time-Series Data
type: PropertyValue
value reference: Use Case Fit

Enterprise SLA Availability
type: PropertyValue
value reference: Reliability