Databricks is a data and AI platform built on the lakehouse architecture, unifying data engineering, analytics, and machine learning in one environment. It targets data teams working at scale and is built atop open-source projects including Spark, Delta Lake, and MLflow, though the platform itself is proprietary. It runs across AWS, GCP, and Azure, making it multi-cloud, with serverless compute and separated storage and compute. Pricing is consumption based (DBUs) and sits in the premium tier; its free Community Edition is a limited learning sandbox, not a usable production free tier. Databricks holds SOC2, ISO27001, FedRAMP, HIPAA, and PCI-DSS compliance.
lakehouseserverlessmulti-cloudsparkdelta-lake
Overview
- Founded
- 2013
- Pricing tier
- High
- Startup-friendly
- Yes
- Enterprise-ready
- Yes
ML platform
- Free tier
- Yes: Free Edition (successor to Community Edition) for learning/small workloads.
- Open-source
- No
- Self-hostable
- No
- Managed training
- Yes
- Model hosting
- Yes
- Fine tuning
- Yes
- Notebooks
- Yes
Data warehouse
- Free tier
- No
- Serverless
- Yes
- Separates storage & compute
- Yes
- Open-source
- No
- Self-hostable
- No
- Multi-cloud
- Yes
Categories & compliance
Categories
Compliance
SOC2ISO27001FedRAMPHIPAAPCI-DSS