Databricks vs Snowflake
On the evidence we track, Snowflake leads this comparison with a composite score of 66/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for data warehouse software. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Databricks
Databricks is a unified data, analytics, and AI platform for enterprises that combines data warehousing, machine learning, and AI agent capabilities through its lakehouse architecture and serverless Postgres offering (Lakebase).
Snowflake
LeaderSnowflake is a fully managed cloud data warehouse that handles data ingestion, processing, analytics, and AI model deployment. It enables zero-copy data sharing across teams, clouds, and external organizations while maintaining built-in governance and security.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Databricks
Pay-as-you-go usage-based pricing from $0.069 / DBU or CU per second. Committed Use Contracts available for volume discounts. Free tier available.
- Data EngineeringFrom $0.15 / DBU per second
- Orchestrate data processing
- Build streaming and batch pipelines
- Ingest data from multiple sources
- Data WarehousingFrom $0.22 / DBU per second
- SQL analytics
- BI reporting
- Available in Classic and Serverless compute
- Interactive WorkloadsFrom $0.40 / DBU per second
- Data science workloads
- Build custom applications
- Security and governance
- Operational DatabaseFrom $0.069 / CU per second
- Postgres database
- Data and feature serving
- Artificial IntelligenceFrom $0.07 / DBU per second
- GenAI applications
- Model Serving
- AI Functions
- Model Training
- GenieFree
- Natural language Q&A
- AI Coding Assistant
- Enterprise Knowledge access
Snowflake
LeaderConsumption-based pricing by compute and storage usage; specific rates referenced in Snowflake Service Consumption Table
- Standard-
- Enterprise-
- Business Critical-
- Virtual Private SnowflakeContact sales
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
Databricks
- Teams
- Slack
- Confluence
- Power Platform
- Copilot Studio
- Zerobus
Snowflake
Leader- AWS
- Microsoft Azure
- Google Cloud Platform
- Streamlit
- Apache Iceberg
- PyTorch
- NVIDIA
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.