The data and AI platform where teams build lakehouses and ship production ML on one stack.
Databricks unified analytics, the lakehouse, and Mosaic AI let data teams query, train, and serve models without stitching a dozen tools. It is where most enterprises actually run GenAI.
Who it's for: Data engineering and ML teams at scale who need governance, collaboration, and GPU training in one place.
Data warehouse plus data lake in one governed store.
Fine-tune, evaluate, and deploy models with guardrails.
Collaborative notebooks on ACID tables at petabyte scale.
Central governance, lineage, and access control.
If you run data plus AI at enterprise scale, Databricks is the safe default. Startups can begin on the Community tier, then scale. For pure warehousing, Snowflake is the lighter alternative.