Overview
Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.
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Simplify's Take
What believers are saying
- Growth supports larger product bets: Databricks reported over 80% yearly growth and a $7 billion revenue run-rate in August 2026.
- Employees try frontier AI immediately: Databricks says its 12,000 staff received day-one access to September 2026 model releases.
- Existing customers spend more: Databricks reported over 140% revenue retention in February 2026, after contractions and departed accounts.
What critics are saying
- Steep valuation: Databricks' August 2026 round valued it near 27 times its $7 billion annualized revenue milestone.
- A partner controls part of the bill: Microsoft sets Azure Databricks prices and bills those customers directly.
- Equity needs planned liquidity: Databricks remains privately held, so employee shares lack an everyday stock-market exit.
What makes Databricks unique
- Governance extends beyond its own engine: Databricks publishes Unity Catalog's core APIs and server as open source.
- Apps run beside analytics: Databricks' Lakebase combines a Postgres database with its data lake and isolated testing branches.
- Its roots are in distributed computing: Databricks' founders created Apache Spark, which processes large datasets across many computers.
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