Lakehouse platform for data engineering, analytics and AI
- Starting at
- Price not listed
- Vendor size
- 4,000
- Customers
- —
Databricks
Deloitte allianceData and AI company founded by the creators of Apache Spark, offering a lakehouse platform for data engineering, analytics and machine learning.
- Headquarters
- San Francisco, CA, US
- Founded
- 2013
- Employees
- 4,000 (2022)
- Size
- 1,001-5,000
- Stock exchange
- Private
- Revenue (USD)
- 1B
Deloitte alliance listings:
Databricks ↗
Company profile
Databricks provides a cloud data platform combining data engineering, SQL warehousing, streaming, machine learning and generative AI on a lakehouse architecture using Delta Lake and Apache Spark. Unity Catalog provides governance across data and AI assets, and Mosaic AI supports building and serving models and agents. It runs on AWS, Azure and Google Cloud and is bought by data and AI leaders at large enterprises.
- Ownership
- Private
- Employees
- 5,001–10,000
Industries served
Banking & capital markets
Healthcare
Life sciences
Retail & consumer
Manufacturing & industrial
Cross-industry
Key offerings
Databricks Data Intelligence PlatformDatabricks SQLUnity CatalogMosaic AIDelta Lake
Typical use cases
- Modernize legacy data warehouses and Hadoop estates
- Build and govern machine learning and GenAI applications
- Unify batch and streaming data engineering pipelines
Strengths
- Open formats like Delta Lake reduce data lock-in
- Single platform spans engineering, analytics and machine learning
- Runs natively across all three major hyperscalers
Considerations
- Consumption costs can escalate without strong FinOps controls
- Requires skilled data engineering talent to use fully
- Overlaps with native hyperscaler and Snowflake offerings
Typical Deloitte services
- Data platform modernization and migration
- AI and generative AI solution development
- Data governance and operating model design
Editorial profile based on public information.