Databricks vs Snowflake
On the evidence we track, Snowflake leads this comparison with a composite score of 68/100. 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
An integrated data and AI platform built on open formats that merges transactional reliability with analytics and machine learning capabilities, enabling organizations to manage data, models, and AI applications together without vendor lock-in.
Snowflake
LeaderSnowflake is a fully managed cloud service that unifies data storage, analytics, machine learning and AI capabilities in a single platform. It enables organizations to process structured and unstructured data, build AI applications and share live data across organizations and cloud environments.
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
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.
- Apache Iceberg
- PyTorch
Databricks
- Teams
- Slack
- Confluence
- Power Platform
- Copilot Studio
- Zerobus
- Microsoft Power Platform
- Microsoft Teams
- Apache Spark
- MLflow
- Delta Lake
- Unity Catalog
- Lakeflow
- Databricks SQL
- Databricks Genie
- Lakebase
- dbt
- Trino
- LangChain
- DSPy
Snowflake
Leader- AWS
- Microsoft Azure
- Google Cloud Platform
- Streamlit
- NVIDIA
- Jira
- GitHub
Databricks or Snowflake: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.