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Databricks is a unified data and AI platform built by the creators of Apache Spark and popularized the "lakehouse" architecture — combining the low-cost, open storage of a data lake with the reliability and performance of a data warehouse. On one platform, teams run data engineering pipelines, SQL analytics and warehousing, streaming, and machine learning and generative AI, all over the same governed data, eliminating the silos of separate lake, warehouse, and ML systems.
The platform's core components include Delta Lake (open, ACID-compliant storage), Unity Catalog (unified governance and lineage across data and AI assets), Databricks SQL (data warehousing on the lakehouse), and the Data Intelligence/Mosaic AI stack for building, tuning, and serving models — including LLMs and RAG. It runs on AWS, Azure, and Google Cloud, supports open formats, and integrates with the broader data ecosystem, positioning itself as an open alternative to proprietary warehouses for organizations doing both analytics and AI.
Databricks serves data engineers, analysts, and ML/AI teams from startups to global enterprises. Pricing is consumption-based on Databricks Units (DBUs) — per-second compute billed on top of your cloud provider's infrastructure charges — with rates varying by workload (for example roughly $0.15/DBU for data engineering and $0.22/DBU for SQL warehousing) and by tier; the legacy Standard tier has been sunset in favor of Premium and Enterprise. It competes with Snowflake, Google BigQuery, Amazon Redshift, and Microsoft Fabric, differentiating on the open lakehouse and combined analytics-plus-AI.
Pricing Model
Consumption-based (DBU)
Starting Price
$0/mo
Free Options
Free version, Free trial
Jobs and pipelines, billed per DBU (from ~$0.15/DBU) plus cloud compute.
Data warehousing on the lakehouse, per DBU (from ~$0.22/DBU).
ML and generative AI (Mosaic AI), per DBU (from ~$0.07/DBU).
Premium/Enterprise tiers with advanced security and governance.
| Feature | Data Engineering | Databricks SQL Popular | AI / Machine Learning | Enterprise |
|---|---|---|---|---|
| ETL/ELT pipelines | — | — | — | |
| Delta Lake | — | — | — | |
| Workflows and orchestration | — | — | — | |
| Auto-scaling clusters | — | — | — | |
| Pay per second | — | — | — | |
| SQL analytics | — | — | — | |
| Serverless SQL warehouses | — | — | — | |
| BI tool connectivity | — | — | — | |
| Dashboards | — | — | — | |
| Unity Catalog governance | — | — | ||
| MLflow | — | — | — | |
| Model training and serving | — | — | — | |
| Generative AI / RAG | — | — | — | |
| Feature store | — | — | — | |
| Vector search | — | — | — | |
| Advanced security | — | — | — | |
| Compliance (HIPAA, FedRAMP) | — | — | — | |
| Committed-use discounts | — | — | — | |
| Dedicated support | — | — | — |
Other
Analytics
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API Types
SDK Availability
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Developer Features
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Compliance Standards
SOC 2 Type II
EnterpriseISO 27001
EnterpriseGDPR Compliant
GlobalHIPAA
HealthcarePCI DSS
FinanceCCPA
PrivacyFedRAMP
GovernmentCSA STAR
CloudDeployment & Data
Data Residency Options
Verify with vendor for your specific region requirements.
Data transformation and analytics engineering with SQL
Automated, reliable data pipelines to your warehouse.
Quick comparisons
