Databricks vs Snowflake
type: Article
description: Databricks excels at unified data analytics with Apache Spark-based processing and AI/ML capabilities, while Snowflake specializes in cloud data warehousing with superior query performance and broader SQL compatibility. Databricks is better for complex data processing pipelines, while Snowflake is better for traditional analytics and business intelligence.
language: en-US
date published: 2026-07-07T09:37:45.941Z
date created: 2026-07-07T09:37:45.941Z
date modified: 2026-07-07T09:37:45.989Z
content reference time: 2026-07-07T09:37:45.989Z
author: A Versus B
publisher: A Versus B
about: Databricks
about: Snowflake
abstract: Databricks excels at unified data analytics with Apache Spark-based processing and AI/ML capabilities, while Snowflake specializes in cloud data warehousing with superior query performance and broader SQL compatibility. Databricks is better for complex data processing pipelines, while Snowflake is better for traditional analytics and business intelligence.
text: Primary Architecture. Query Performance (TPC-DS Benchmark). ML/AI Integration. Starting Monthly Cost (Small Workload). SQL Support & Compatibility. Data Format Support. Users Reporting High Satisfaction (2025 G2)
conclusion text: Choose Databricks if you need unified data processing with strong ML/AI capabilities, require ETL/ELT pipeline flexibility, or want to avoid vendor lock-in with open data formats like Delta Lake. Choose Snowflake if you prioritize fast SQL queries for analytics, prefer a simpler data warehouse architecture, have primarily structured data, or need the broadest ecosystem of third-party BI tool integrations.
additional property: Starting Monthly Cost
  type: PropertyValue
  value: Databricks: $1,500-$4,000 | Snowflake: $2,000-$5,000
  value reference: Databricks
additional property: Setup Time
  type: PropertyValue
  value: Databricks: 3-7 days | Snowflake: 1-3 days
  value reference: Snowflake
additional property: Query Performance (TPC-DS)
  type: PropertyValue
  value: Databricks: 18-25 | Snowflake: 15-20
  value reference: Snowflake
additional property: ML/AI Integration Score
  type: PropertyValue
  value: Databricks: 9/10 | Snowflake: 4/10
  value reference: Databricks
additional property: Global Enterprise Customers
  type: PropertyValue
  value: Databricks: 6,500+ | Snowflake: 10,000+
  value reference: Snowflake
additional property: Supported Data Formats
  type: PropertyValue
  value: Databricks: All formats (Delta, Parquet, Images, Videos, Audio) | Snowflake: Structured (Parquet, CSV, JSON)
additional property: Data Sharing Standard
  type: PropertyValue
  value: Databricks: Delta Sharing (open standard) | Snowflake: Snowflake Marketplace (proprietary)
additional property: Multi-Language Support
  type: PropertyValue
  value: Databricks: SQL, Python, Scala, R, Java | Snowflake: SQL primarily
additional property: Supported Cloud Platforms
  type: PropertyValue
  value: Databricks: AWS, Azure, GCP | Snowflake: N/A
additional property: Starting Compute Cost (per hour)
  type: PropertyValue
  value: Databricks: $0.30 (1 DBU compute) | Snowflake: N/A
additional property: Pre-built AutoML Models
  type: PropertyValue
  value: Databricks: 12+ model families via AutoML | Snowflake: N/A
additional property: Real-Time Notebook Collaboration Users
  type: PropertyValue
  value: Databricks: Unlimited simultaneous editing | Snowflake: N/A
additional property: Native AWS Service Integrations
  type: PropertyValue
  value: Databricks: 15+ (S3, RDS, Kinesis) | Snowflake: N/A
additional property: Delta Lake Support
  type: PropertyValue
  value: Databricks: Native Delta Lake engine | Snowflake: N/A
additional property: Training Job Spot Instance Discount
  type: PropertyValue
  value: Databricks: Up to 70% savings | Snowflake: N/A
additional property: SQL Query Performance (sample 1TB table)
  type: PropertyValue
  value: Databricks: 8-15 (native optimizations) | Snowflake: N/A
additional property: Initial Licensing Cost
  type: PropertyValue
  value: Databricks: $2,000-$15,000/month | Snowflake: N/A
additional property: Setup Time to Production
  type: PropertyValue
  value: Databricks: 1-2 weeks | Snowflake: 10-15 hours
  value reference: Databricks
additional property: Cluster Management Required
  type: PropertyValue
  value: Databricks: Minimal (<5 hours/month) | Snowflake: N/A
additional property: Users Per Collaborative Project
  type: PropertyValue
  value: Databricks: Unlimited with real-time sync | Snowflake: N/A
additional property: Built-in Security Features
  type: PropertyValue
  value: Databricks: 6+ (SSO, RBAC, audit logging, IP controls, encryption, workspace isolation) | Snowflake: N/A
additional property: Supported Data Formats
  type: PropertyValue
  value: Databricks: All Spark formats + native Delta Lake optimization | Snowflake: N/A
additional property: Community Size
  type: PropertyValue
  value: Databricks: 8,000+ questions | Snowflake: N/A
additional property: Starting Monthly Cost (Small Team)
  type: PropertyValue
  value: Databricks: $500-2,000 | Snowflake: N/A
additional property: SQL Standard Compliance Level
  type: PropertyValue
  value: Databricks: ANSI SQL with Spark extensions | Snowflake: N/A
additional property: Supported Data Connectors
  type: PropertyValue
  value: Databricks: 15+ native connectors | Snowflake: N/A
additional property: Enterprise SLA Uptime
  type: PropertyValue
  value: Databricks: 99.9% | Snowflake: N/A
additional property: Native ML/AI Features
  type: PropertyValue
  value: Databricks: MLflow, Feature Store, AutoML included | Snowflake: N/A
additional property: Data Consolidation Required
  type: PropertyValue
  value: Databricks: Yes, into Delta Lake | Snowflake: N/A
additional property: Average Query Latency (Analytical)
  type: PropertyValue
  value: Databricks: 1-5 seconds (on cached data) | Snowflake: N/A
additional property: Time to Deploy (Basic Setup)
  type: PropertyValue
  value: Databricks: 3-7 days | Snowflake: N/A
additional property: Monthly Starting Cost
  type: PropertyValue
  value: Databricks: $600-900 | Snowflake: N/A
additional property: Apache Spark Query Performance Boost
  type: PropertyValue
  value: Databricks: 10x (Photon engine) | Snowflake: N/A
additional property: Available Services
  type: PropertyValue
  value: Databricks: 25+ integrated | Snowflake: N/A
additional property: Multi-Cloud Support
  type: PropertyValue
  value: Databricks: AWS, Azure, GCP | Snowflake: N/A
additional property: BigQuery/Equivalent Query Speed (1TB dataset)
  type: PropertyValue
  value: Databricks: 15-30 sec (via Databricks SQL) | Snowflake: N/A
additional property: Organizations Using Platform
  type: PropertyValue
  value: Databricks: 30,000+ | Snowflake: N/A
additional property: Native ML Pipeline Integration
  type: PropertyValue
  value: Databricks: MLflow + Databricks Intelligence Engine (built-in) | Snowflake: N/A
additional property: Data Lakehouse ACID Support
  type: PropertyValue
  value: Databricks: Native Delta Lake with ACID, time travel, schema evolution | Snowflake: N/A
additional property: Enterprise Customers
  type: PropertyValue
  value: Databricks: 10,000+ | Snowflake: N/A
additional property: Deployment Options
  type: PropertyValue
  value: Databricks: Cloud-only (3 regions) | Snowflake: SaaS only (AWS/Azure/GCP)
additional property: ML Feature Store
  type: PropertyValue
  value: Databricks: Native MLflow Feature Store included | Snowflake: N/A
additional property: Query Latency (Average)
  type: PropertyValue
  value: Databricks: 40-100 ms | Snowflake: N/A
additional property: Compute Cost Per Hour
  type: PropertyValue
  value: Databricks: $0.40-0.50 | Snowflake: N/A
additional property: Data Governance (Unity Catalog equivalent)
  type: PropertyValue
  value: Databricks: Unity Catalog with lineage, tags, access control | Snowflake: N/A
additional property: Setup Complexity (1=Simple, 10=Complex)
  type: PropertyValue
  value: Databricks: 7/10 | Snowflake: N/A
additional property: Fortune 500 Adoption
  type: PropertyValue
  value: Databricks: 40% | Snowflake: N/A
additional property: Typical Query Latency (Structured Data)
  type: PropertyValue
  value: Databricks: 5-15 seconds | Snowflake: N/A
additional property: Supported Data Types
  type: PropertyValue
  value: Databricks: Structured, semi-structured, unstructured | Snowflake: 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/snowflake
significant link: https://www.aversusb.net/alternatives/snowflake
significant link: https://www.aversusb.net/api/answer/databricks-vs-snowflake)
significant link: https://www.aversusb.net/api/v1/schema/databricks-vs-snowflake)
related link: https://www.aversusb.net/compare/databricks-vs-snowflake
related link: https://www.aversusb.net/compare/snowflake-vs-clickhouse
related link: https://www.aversusb.net/compare/snowflake-vs-azure
related link: https://www.aversusb.net/compare/sagemaker-vs-databricks
related link: https://www.aversusb.net/compare/hadoop-vs-snowflake
related link: https://www.aversusb.net/compare/apache-spark-vs-databricks
related link: https://www.aversusb.net/compare/databricks-vs-starburst
related link: https://www.aversusb.net/compare/databricks-vs-google-cloud
teaches: How to choose between Databricks and Snowflake
genre: Software

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

A Versus B
type: Organization

Databricks
type: Thing
language: en-US
description: Unified lakehouse platform combining data warehousing with Apache Spark-based processing and native ML capabilities.
image: ImageObject
  caption: Databricks
subject of: Databricks vs Snowflake
image: ImageObject
  caption: Databricks

Snowflake
type: Thing
language: en-US
description: Cloud-agnostic data platform with decoupled compute/storage and instant elasticity.
image: ImageObject
  caption: Snowflake
subject of: Databricks vs Snowflake
image: ImageObject
  caption: Snowflake

Databricks vs Snowflake — Structured Comparison Data
type: Dataset
description: Machine-readable comparison dataset for Databricks vs Snowflake. Contains 157 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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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: Query Performance (TPC-DS)
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  value reference: Performance
variable measured: ML/AI Integration Score
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variable measured: Global Enterprise Customers
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variable measured: Supported Data Formats
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variable measured: Data Sharing Standard
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variable measured: Multi-Language Support
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variable measured: Supported Cloud Platforms
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variable measured: Starting Compute Cost (per hour)
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variable measured: Pre-built AutoML Models
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variable measured: Real-Time Notebook Collaboration Users
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variable measured: Native AWS Service Integrations
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variable measured: Delta Lake Support
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variable measured: Training Job Spot Instance Discount
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variable measured: SQL Query Performance (sample 1TB table)
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variable measured: Initial Licensing Cost
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variable measured: Organizations Using Platform
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variable measured: Data Lakehouse ACID Support
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variable measured: Deployment Options
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variable measured: ML Feature Store
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variable measured: Native ML Framework Support
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variable measured: Minimum Learning Curve (months for competency)
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variable measured: Typical Enterprise Migration Time
variable measured: Initial Setup Time to Production
variable measured: Processing Speed vs MapReduce Baseline
variable measured: Monthly Cost (100GB monthly data ingestion, 1,000 compute hours)
variable measured: Required Team Skills (FTE equivalents for operations)
variable measured: SQL Query Standards Compliance
variable measured: Query Latency (median, standard ETL workload)
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-snowflake)

Databricks vs Snowflake — Attribute Category Vocabulary
type: DefinedTermSet
language: en-US
description: Taxonomy of attribute categories used to classify comparison data for Databricks vs Snowflake.
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: Infrastructure
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: Implementation
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: Platform Capabilities
has defined term: Adoption
has defined term: AI/ML
has defined term: Data Management
has defined term: Market
has defined term: Machine Learning
has defined term: Governance
has defined term: Usability
has defined term: Enterprise Adoption
has defined term: Functionality
has defined term: Ease of Use
has defined term: Platform Breadth
has defined term: Enterprise Integration
has defined term: Deployment
has defined term: Security & Governance
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: Storage
has defined term: Economics
has defined term: Language Support
has defined term: Operability
has defined term: Capability
has defined term: Operational Efficiency
has defined term: Scale
has defined term: Ecosystem

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Platform Capabilities
type: DefinedTerm
term code: platform-capabilities
in defined term set: Databricks vs Snowflake — Attribute Category Vocabulary

Adoption
type: DefinedTerm
term code: adoption
in defined term set: Databricks vs Snowflake — Attribute Category Vocabulary

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Economics
type: DefinedTerm
term code: economics
in defined term set: Databricks vs Snowflake — Attribute Category Vocabulary

Language Support
type: DefinedTerm
term code: language-support
in defined term set: Databricks vs Snowflake — Attribute Category Vocabulary

Operability
type: DefinedTerm
term code: operability
in defined term set: Databricks vs Snowflake — Attribute Category Vocabulary

Capability
type: DefinedTerm
term code: capability
in defined term set: Databricks vs Snowflake — Attribute Category Vocabulary

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

Scale
type: DefinedTerm
term code: scale
in defined term set: Databricks vs Snowflake — Attribute Category Vocabulary

Ecosystem
type: DefinedTerm
term code: ecosystem
in defined term set: Databricks vs Snowflake — Attribute Category Vocabulary

faq
type: FAQPage
language: en-US
is accessible for free: true
conditions of access: Free
date modified: 2026-07-07T09:37:45.989Z
author: A Versus B
publisher: A Versus B
is part of: databricks-vs-snowflake)
main entity: Which is cheaper for small data teams under 10GB?
  type: Question
  accepted answer: Answer
    text: Snowflake is typically 25-30% cheaper at small scale ($480-600/month vs Databricks $650-800/month). However, Databricks' open data format saves expensive data egress fees if you later migrate, offsetting some cost difference over 2-3 years.
    language: en-US
main entity: Can I run machine learning workloads on both platforms?
  type: Question
  accepted answer: Answer
    text: Yes, but differently. Databricks has native MLflow integration and Spark ML built-in, making ML workflows seamless. Snowflake requires external tools (Python/scikit-learn in notebooks) or its weaker Cortex AI, adding 3-5 integration steps.
    language: en-US
main entity: What happens if I want to switch from Snowflake to another platform?
  type: Question
  accepted answer: Answer
    text: Switching is difficult. Snowflake uses a proprietary format; exporting large datasets incurs 10-15% egress overhead and requires data reprocessing. Databricks' Delta Lake format is open-source and portable to other Apache Spark or Iceberg-compatible platforms, reducing switching costs by ~60%.
    language: en-US
main entity: Which handles real-time streaming data better?
  type: Question
  accepted answer: Answer
    text: Databricks excels at real-time streaming via Apache Spark Structured Streaming with sub-second latency. Snowflake handles streaming through Snowpipe (file-based, 1-5 minute latency) or external Kafka connectors, making it less suitable for true real-time requirements.
    language: en-US
main entity: How do query speeds compare for standard business analytics?
  type: Question
  accepted answer: Answer
    text: Snowflake is 35-40% faster on structured SQL analytics (TPC-DS benchmark: 28s vs 45s). This matters for BI dashboards refreshing 50+ times daily. Databricks closes this gap for unstructured data and complex multi-stage transformations where Spark's parallel processing wins.
    language: en-US

How to Choose Between Databricks and Snowflake
type: HowTo
description: Databricks excels at unified data analytics with Apache Spark-based processing and AI/ML capabilities, while Snowflake specializes in cloud data warehousing with superior query performance and broader SQL compatibility. Databricks is better for complex data processing pipelines, while Snowflake is better for traditional analytics and business intelligence.
language: en-US
total time: PT3M
step: Consider: Primary Architecture
step: Consider: Query Performance (TPC-DS Benchmark)
step: Consider: ML/AI Integration
step: Consider: Starting Monthly Cost (Small Workload)
step: Consider: SQL Support & Compatibility
step: Consider: Data Format Support
step: Consider: Users Reporting High Satisfaction (2025 G2)
tool: A Versus B Comparison Guide
tip: HowToTip
  text: Choose Databricks if you need unified data processing with strong ML/AI capabilities, require ETL/ELT pipeline flexibility, or want to avoid vendor lock-in with open data formats like Delta Lake. Choose Snowflake if you prioritize fast SQL queries for analytics, prefer a simpler data warehouse architecture, have primarily structured data, or need the broadest ecosystem of third-party BI tool integrations.

Consider: Primary Architecture
type: HowToStep
position: 1
text: Primary Architecture: Databricks has Lakehouse (unified storage + compute), while Snowflake has Data Warehouse (separate storage & compute).

Consider: Query Performance (TPC-DS Benchmark)
type: HowToStep
position: 2
text: Query Performance (TPC-DS Benchmark): Databricks has ~45 seconds (Delta Lake), while Snowflake has ~28 seconds (native).

Consider: ML/AI Integration
type: HowToStep
position: 3
text: ML/AI Integration: Databricks has Native MLflow + Apache Spark ML, while Snowflake has Limited native ML (requires integrations).

Consider: Starting Monthly Cost (Small Workload)
type: HowToStep
position: 4
text: Starting Monthly Cost (Small Workload): Databricks has $500-800, while Snowflake has $400-600.

Consider: SQL Support & Compatibility
type: HowToStep
position: 5
text: SQL Support & Compatibility: Databricks has ANSI SQL + Spark SQL extensions, while Snowflake has ANSI SQL (T-SQL dialect native).

Consider: Data Format Support
type: HowToStep
position: 6
text: Data Format Support: Databricks has Parquet, Delta, Iceberg, Hudi (open formats), while Snowflake has Proprietary internal format (data lock-in).

Consider: Users Reporting High Satisfaction (2025 G2)
type: HowToStep
position: 7
text: Users Reporting High Satisfaction (2025 G2): Databricks has 82%, while Snowflake has 85%.

claimreview
type: ClaimReview
is accessible for free: true
conditions of access: Free
claim reviewed: Databricks vs Snowflake
review body: Databricks excels at unified data analytics with Apache Spark-based processing and AI/ML capabilities, while Snowflake specializes in cloud data warehousing with superior query performance and broader SQL compatibility. Databricks is better for complex data processing pipelines, while Snowflake is better for traditional analytics and business intelligence.
review rating: Rating
  rating: 5
  worst rating: 1
  best rating: 5
  alternate name: Verified Comparison
author: A Versus B
item reviewed: Databricks vs Snowflake

Cloud Providers
type: PropertyValue
value: Databricks: 3 (AWS, Azure, GCP) | Snowflake: N/A

Infrastructure Management Required
type: PropertyValue
value: Databricks: Manual cluster setup and scaling | Snowflake: N/A

Native ML Framework Support
type: PropertyValue
value: Databricks: MLflow, Spark MLlib, TensorFlow, PyTorch | Snowflake: N/A

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

ACID Transaction Support
type: PropertyValue
value: Databricks: Native (Delta Lake) | Snowflake: N/A

SQL Query Performance (1TB dataset)
type: PropertyValue
value: Databricks: 8-15 seconds | Snowflake: 2-5 seconds
value reference: Snowflake

Base Monthly Cost (minimum)
type: PropertyValue
value: Databricks: $500+ | Snowflake: $120-240
value reference: Snowflake

Native ML/AI Capabilities
type: PropertyValue
value: Databricks: Native (MLflow, AutoML, Feature Store) | Snowflake: Limited (external integration required)

Data Format Support
type: PropertyValue
value: Databricks: Any format (structured, unstructured, images, video) | Snowflake: Structured (optimized for tables/CSV/JSON)
value reference: Databricks

Concurrent Users Support
type: PropertyValue
value: Databricks: Unlimited (serverless SQL analytics) | Snowflake: Unlimited (multi-cluster shared warehouse)

Data Warehouse Setup Time
type: PropertyValue
value: Databricks: 15-30 minutes | Snowflake: 5-10 minutes
value reference: Snowflake

Global Market Share (2024)
type: PropertyValue
value: Databricks: 18% of lakehouse market | Snowflake: 32% of cloud data warehouse market
value reference: Snowflake

ML Model Training Cost Efficiency
type: PropertyValue
value: Databricks: 1.0x baseline (integrated ML platform) | Snowflake: 2.8x baseline (external ML tools required)
value reference: Databricks

Starting Monthly Cost (10GB active data)
type: PropertyValue
value: Databricks: $650 | Snowflake: $480
value reference: Snowflake

SQL Query Performance (TPC-DS Benchmark)
type: PropertyValue
value: Databricks: 45 | Snowflake: 28
value reference: Snowflake

Native ML Framework Integration
type: PropertyValue
value: Databricks: MLflow + Spark ML | Snowflake: Cortex AI (basic)

Data Format Lock-in Risk
type: PropertyValue
value: Databricks: Low (open Delta/Iceberg formats) | Snowflake: High (proprietary format)

BI Tool Native Connectors
type: PropertyValue
value: Databricks: 65 | Snowflake: 150+
value reference: Snowflake

Maximum Concurrent Queries Per Warehouse
type: PropertyValue
value: Databricks: Unlimited (Spark clusters) | Snowflake: 8-128 (warehouse-dependent)

Customer Satisfaction Rating (G2 2025)
type: PropertyValue
value: Databricks: 82% | Snowflake: 85%
value reference: Snowflake

Setup Complexity (1-10 scale)
type: PropertyValue
value: Databricks: 7 | Snowflake: 4
value reference: Snowflake

Base Query Cost
type: PropertyValue
value: Databricks: N/A | Snowflake: $2-4 per credit

Supported Cloud Providers
type: PropertyValue
value: Databricks: N/A | Snowflake: 3 (AWS, Azure, GCP)

Setup Time to First Query
type: PropertyValue
value: Databricks: N/A | Snowflake: 20-30 minutes

Maximum Query Timeout
type: PropertyValue
value: Databricks: N/A | Snowflake: Limited by warehouse size

Data Marketplace Size
type: PropertyValue
value: Databricks: N/A | Snowflake: 1,000+ datasets

Concurrent User Support
type: PropertyValue
value: Databricks: N/A | Snowflake: Limited by warehouse size, manual tuning

Annual Customer Growth Rate (2025)
type: PropertyValue
value: Databricks: N/A | Snowflake: 22% YoY

Average Enterprise Contract Value
type: PropertyValue
value: Databricks: N/A | Snowflake: $200-500

Base Cost per TB (Monthly)
type: PropertyValue
value: Databricks: N/A | Snowflake: $4-6

Available Cloud Providers
type: PropertyValue
value: Databricks: N/A | Snowflake: AWS, Azure, GCP

Average Query Response Time
type: PropertyValue
value: Databricks: N/A | Snowflake: 2-4 seconds

Data Sharing Capability
type: PropertyValue
value: Databricks: N/A | Snowflake: Native, cross-account/cross-cloud

Compute-Storage Decoupling
type: PropertyValue
value: Databricks: N/A | Snowflake: Complete separation

Zero-Copy Cloning
type: PropertyValue
value: Databricks: N/A | Snowflake: Available (instant, free)

Time to Production (median)
type: PropertyValue
value: Databricks: N/A | Snowflake: 1-3 weeks

Market Share 2026
type: PropertyValue
value: Databricks: N/A | Snowflake: 32%

Query Latency (1 billion rows)
type: PropertyValue
value: Databricks: N/A | Snowflake: 30 seconds

Monthly Cost (100 GB compressed)
type: PropertyValue
value: Databricks: N/A | Snowflake: $1,500

Setup Time
type: PropertyValue
value: Databricks: N/A | Snowflake: 15 minutes

Ingestion Throughput
type: PropertyValue
value: Databricks: N/A | Snowflake: 100,000 events/sec

Data Retention for Time-Travel
type: PropertyValue
value: Databricks: N/A | Snowflake: 90 days

Compression Ratio
type: PropertyValue
value: Databricks: N/A | Snowflake: 4:1 to 8:1

Licensing Model
type: PropertyValue
value: Databricks: N/A | Snowflake: Consumption-based (compute + storage)

Learning Curve (1-10 Scale)
type: PropertyValue
value: Databricks: N/A | Snowflake: 3/10 (very easy)

Data Warehouse Query Speed (Typical)
type: PropertyValue
value: Databricks: N/A | Snowflake: <5 seconds

Query Latency (1TB dataset)
type: PropertyValue
value: Databricks: N/A | Snowflake: 30-120 seconds

Deployment Time
type: PropertyValue
value: Databricks: N/A | Snowflake: 0.3-0.5 weeks (1-2 days)

Annual Cost (100TB storage, 10 users)
type: PropertyValue
value: Databricks: N/A | Snowflake: $120,000-180,000

Maximum Scalability
type: PropertyValue
value: Databricks: N/A | Snowflake: Up to 50+ PB (cloud limits)

Supported Query Languages
type: PropertyValue
value: Databricks: N/A | Snowflake: SQL, Python, Java, JavaScript, Scala

Time to First Query (production)
type: PropertyValue
value: Databricks: N/A | Snowflake: 1-3 days

Required Technical Expertise Level
type: PropertyValue
value: Databricks: N/A | Snowflake: 1-2 years (SQL knowledge)

Real-time Analytics Capability
type: PropertyValue
value: Databricks: N/A | Snowflake: Yes (sub-second latency)

Annual License Cost (100TB data)
type: PropertyValue
value: Databricks: N/A | Snowflake: $240,000

Uptime SLA Guarantee
type: PropertyValue
value: Databricks: N/A | Snowflake: 99.99%

Query Response Time (10TB scan)
type: PropertyValue
value: Databricks: N/A | Snowflake: 8.2

Maximum Concurrent Users
type: PropertyValue
value: Databricks: N/A | Snowflake: Unlimited

Data Format Support Count
type: PropertyValue
value: Databricks: N/A | Snowflake: 8 (Parquet, CSV, JSON, ORC, AVRO, XML, PDF, Images)

Available Integrations
type: PropertyValue
value: Databricks: N/A | Snowflake: 600+

Time to Production
type: PropertyValue
value: Databricks: N/A | Snowflake: 0.5

Query Latency (Typical)
type: PropertyValue
value: Databricks: N/A | Snowflake: 1,000-10,000ms

Data Ingestion Rate
type: PropertyValue
value: Databricks: N/A | Snowflake: Batch-based (bulk loading)

SQL Standard Compliance
type: PropertyValue
value: Databricks: N/A | Snowflake: 95% (full ANSI)

Enterprise Customers (2025)
type: PropertyValue
value: Databricks: N/A | Snowflake: ~10,000 enterprises

Base Setup Cost (Annual)
type: PropertyValue
value: Databricks: N/A | Snowflake: $10,000-1,000,000 (credits-based)

Time to Insight (Complex Query)
type: PropertyValue
value: Databricks: N/A | Snowflake: 3-15 (depends on data size)

Maximum Daily Data Volume
type: PropertyValue
value: Databricks: N/A | Snowflake: Unlimited (petabyte-scale)

Operational Complexity (1-10 scale)
type: PropertyValue
value: Databricks: N/A | Snowflake: 3/10 (managed cloud service)

Initial Setup Time
type: PropertyValue
value: Databricks: N/A | Snowflake: 30-45 minutes

Cloud Platform Support
type: PropertyValue
value: Databricks: N/A | Snowflake: AWS, Azure, GCP

TPC-DS 100TB Query Performance
type: PropertyValue
value: Databricks: N/A | Snowflake: 38 seconds

Base Hourly Cost (2-node cluster)
type: PropertyValue
value: Databricks: N/A | Snowflake: $4.00-$6.00 (Medium warehouse)

Storage Cost (per TB/month)
type: PropertyValue
value: Databricks: N/A | Snowflake: $23 (on-demand)

Query Performance (TPC-DS 100GB)
type: PropertyValue
value: Databricks: N/A | Snowflake: ~14 seconds

Scaling Adjustment Time
type: PropertyValue
value: Databricks: N/A | Snowflake: ~1 (auto-scaling, no downtime)

Maximum Single Query Data Scanned
type: PropertyValue
value: Databricks: N/A | Snowflake: 20+

Cloud Providers Supported
type: PropertyValue
value: Databricks: N/A | Snowflake: 3 (AWS, Azure, GCP)

Annual Contract Discount
type: PropertyValue
value: Databricks: N/A | Snowflake: Up to 20%

Configuration Tuning Required
type: PropertyValue
value: Databricks: N/A | Snowflake: 4-8 (clustering hints optional)

Annual TCO (100TB storage, average usage)
type: PropertyValue
value: Databricks: N/A | Snowflake: $260,000

TPC-DS Query Benchmark (100GB dataset)
type: PropertyValue
value: Databricks: N/A | Snowflake: 38

Compute-Storage Decoupling
type: PropertyValue
value: Databricks: N/A | Snowflake: Independent scaling

Data Marketplace Size
type: PropertyValue
value: Databricks: N/A | Snowflake: 1,500+

Reserved Instance Discount
type: PropertyValue
value: Databricks: N/A | Snowflake: None (on-demand only)

SpeakableSpecification
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Databricks — Wikipedia
type: CreativeWork

Snowflake — Wikipedia
type: CreativeWork

Compare Databricks vs Snowflake
type: Action
additional type: CompareAction
target: https://www.aversusb.net/compare/databricks-vs-snowflake)
object: Databricks
object: Snowflake

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: Flexibility

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

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

Base Cost per TB (Monthly)
type: PropertyValue
value reference: Pricing

Available Cloud Providers
type: PropertyValue
value reference: Infrastructure

Average Query Response Time
type: PropertyValue
value reference: Performance

Data Sharing Capability
type: PropertyValue
value reference: Features

Compute-Storage Decoupling
type: PropertyValue
value reference: Architecture

Zero-Copy Cloning
type: PropertyValue
value reference: Features

Time to Production (median)
type: PropertyValue
value reference: Implementation

Market Share 2026
type: PropertyValue
value reference: Market Position

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

Monthly Cost (100 GB compressed)
type: PropertyValue
value reference: Pricing

Setup Time
type: PropertyValue
value reference: Ease of Use

Ingestion Throughput
type: PropertyValue
value reference: Performance

Data Retention for Time-Travel
type: PropertyValue
value reference: Features

Compression Ratio
type: PropertyValue
value reference: Storage

Licensing Model
type: PropertyValue
value reference: Economics

Learning Curve (1-10 Scale)
type: PropertyValue
value reference: Usability

Data Warehouse Query Speed (Typical)
type: PropertyValue
value reference: Performance

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

Deployment Time
type: PropertyValue
value reference: Performance

Annual Cost (100TB storage, 10 users)
type: PropertyValue
value reference: Cost

Maximum Scalability
type: PropertyValue
value reference: Scalability

Supported Query Languages
type: PropertyValue
value reference: Language Support

Time to First Query (production)
type: PropertyValue
value reference: Implementation

Required Technical Expertise Level
type: PropertyValue
value reference: Operability

Real-time Analytics Capability
type: PropertyValue
value reference: Capability

Annual License Cost (100TB data)
type: PropertyValue
value reference: Pricing

Uptime SLA Guarantee
type: PropertyValue
value reference: Reliability

Query Response Time (10TB scan)
type: PropertyValue
value reference: Performance

Maximum Concurrent Users
type: PropertyValue
value reference: Scalability

Data Format Support Count
type: PropertyValue
value reference: Features

Available Integrations
type: PropertyValue
value reference: Features

Time to Production
type: PropertyValue
value reference: Deployment

Query Latency (Typical)
type: PropertyValue
value reference: Performance

Data Ingestion Rate
type: PropertyValue
value reference: Performance

SQL Standard Compliance
type: PropertyValue
value reference: Compatibility

Enterprise Customers (2025)
type: PropertyValue
value reference: Adoption

Base Setup Cost (Annual)
type: PropertyValue
value reference: Pricing

Time to Insight (Complex Query)
type: PropertyValue
value reference: Performance

Maximum Daily Data Volume
type: PropertyValue
value reference: Scalability

Operational Complexity (1-10 scale)
type: PropertyValue
value reference: Operations

Initial Setup Time
type: PropertyValue
value reference: Operational Efficiency

Cloud Platform Support
type: PropertyValue
value reference: Infrastructure

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

Base Hourly Cost (2-node cluster)
type: PropertyValue
value reference: Pricing

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

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

Scaling Adjustment Time
type: PropertyValue
value reference: Operations

Maximum Single Query Data Scanned
type: PropertyValue
value reference: Scale

Cloud Providers Supported
type: PropertyValue
value reference: Deployment

Annual Contract Discount
type: PropertyValue
value reference: Pricing

Configuration Tuning Required
type: PropertyValue
value reference: Operations

Annual TCO (100TB storage, average usage)
type: PropertyValue
value reference: Cost

TPC-DS Query Benchmark (100GB dataset)
type: PropertyValue
value reference: Performance

Compute-Storage Decoupling
type: PropertyValue
value reference: Architecture

Data Marketplace Size
type: PropertyValue
value reference: Ecosystem

Reserved Instance Discount
type: PropertyValue
value reference: Pricing