Databricks
Free tierThe unified data, analytics, and AI platform trusted by over 60% of the Fortune 500
Paid·All audiences·Powered by Databricks (DBRX, MosaicML)·API available
Key strengths
Unified lakehouse architecture combining data lake and data warehouseEnterprise-grade AI/ML and GenAI development on proprietary dataServerless Postgres (Lakebase) integrated with lakehouse for AI agentsOpen governance via Unity Catalog across data, models, and dashboardsMassive ecosystem with 20,000+ customers including 60%+ of Fortune 500
Paid only
San Francisco, USA
Founded 2013
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Developer Documentation & Technical Onboarding
Databricks provides extensive technical documentation, APIs, and SDKs for developers and data engineers:
- Workspace & Clusters — Provision compute clusters or use serverless compute on AWS, Azure, or GCP. Clusters support Apache Spark, Python, Scala, SQL, and R natively.
- Lakeflow (Data Engineering) — Build batch and streaming ETL pipelines with Delta Live Tables and Lakeflow orchestration. Supports auto-scaling, data quality constraints, and lineage tracking.
- Mosaic AI / Agent Bricks — Build, evaluate, and deploy LLM-powered agents using the MLflow-integrated model lifecycle. Supports fine-tuning, RLHF, and RAG (Retrieval-Augmented Generation) patterns on proprietary data.
- Lakebase — Serverless Postgres integrated into the lakehouse. Use standard Postgres drivers and tooling; data is stored in open lakehouse format with full ACID guarantees.
- Unity Catalog — Centralized governance layer with fine-grained access control, lineage, and auditing for tables, models, dashboards, and AI agents across all workspaces.
- REST API & SDKs — Full REST API with official SDKs for Python (
databricks-sdk), Terraform provider, CLI, and IDE integrations (VS Code, JetBrains). Supports CI/CD workflows via Databricks Asset Bundles (DABs). - Pricing Model — Compute is metered in Databricks Units (DBUs); serverless options provide per-second billing with no cluster management overhead.