Independent AI audit · 25 parameters across 5 domains · equal weight
Software development lifecycle
5 parameters · awaiting evidence
Product management
5 parameters · awaiting evidence
Organization
5 parameters · awaiting evidence
Security & privacy
5 parameters · awaiting evidence
Implementation & support
5 parameters · awaiting evidence
No audit on record yet. No score is not a low score.
The Databricks Data Intelligence Platform is a cloud data and AI platform built on the lakehouse architecture, which merges the open storage of a data lake with the transactional guarantees and query performance of a data warehouse. It was created in 2013 by the team behind Apache Spark and now serves more than 20,000 organizations, including a majority of the Fortune 500.
The data foundation is open. Delta Lake and Apache Iceberg provide the table formats, so data stays in the customer's own cloud object storage in open formats rather than a proprietary store. Lakeflow handles ingestion, declarative ETL and orchestration; Databricks SQL runs warehouse workloads through the vectorized Photon engine; Lakebase adds a Postgres-compatible operational database for applications that need transactional reads and writes alongside analytics.
The AI layer sits directly on that governed data. Mosaic AI covers model training, fine-tuning, evaluation and serving, including third-party foundation models; Agent Bricks supports building and evaluating production agents; Genie exposes natural-language analytics to business users; MLflow tracks experiments and manages model lifecycle.
Unity Catalog is the governance spine, applying one permission, lineage and audit model across tables, files, dashboards, notebooks, models and agents — which matters more as agents rather than people begin issuing queries. Delta Sharing and the Databricks Marketplace extend that governance to data shared outside the organization.
The platform runs as a managed service on AWS, Azure and Google Cloud. On Azure it is sold as a first-party Microsoft service.
Screenshots and product photos shared by Databricks, Inc..
San Francisco, California, United States
A world where every organization can put its own data to work with AI — where analytics, machine learning and governance sit on one open foundation instead of a dozen proprietary silos.
We democratize data and AI, giving every enterprise one open, governed lakehouse platform on which its teams can build, share and operate intelligence drawn from their own data
Meet the leaders shaping our vision, product, and growth.
Our certifications and compliance frameworks that keep your data safe.
All plans include core features. Per month, billed annually.
All capabilities grouped by category.