Databricks
Enterprises and startups that need a unified platform for data engineering, analytics, and AI/ML, including data teams, data scientists, and application developers.
Overview
Databricks is a data and AI company founded in 2013 by the original creators of Apache Spark, Delta Lake, MLflow, and Unity Catalog. It provides a unified Data Intelligence Platform built on an open lakehouse architecture, combining data engineering, data warehousing, business intelligence, and AI/ML capabilities. The platform is designed to help enterprises unify their data, analytics, and AI workloads, with a focus on enabling AI agents and applications grounded in enterprise data. Headquartered in San Francisco, Databricks serves over 20,000 organizations worldwide, including more than 60% of the Fortune 500. The company has raised significant funding, with a recent strategic round at a $188 billion valuation.
What it does
Databricks offers a cloud-based platform that unifies data engineering, data warehousing, and AI/ML. It provides tools for building and deploying AI agents (Agent Bricks), a serverless Postgres database for applications (Lakebase), a data warehouse (Lakehouse), ETL and orchestration (Lakeflow), and AI-powered business intelligence (AI/BI). The platform includes governance through Unity Catalog, supports open data sharing, and integrates with major cloud providers (AWS, Azure, GCP). It also offers a pay-as-you-go pricing model with per-second billing and committed use contracts.
Key features
- Unified lakehouse architecture for data, analytics, and AI
- Agent Bricks for building and deploying AI agents
- Lakebase, a serverless Postgres database for applications
- Lakeflow for ETL and orchestration
- AI/BI for natural language analytics
- Unity Catalog for unified governance
- Support for multiple cloud providers (AWS, Azure, GCP)
- Open data sharing and marketplace
Use cases
- Building AI assistants and copilots for internal or customer-facing use
- Developing ML-powered applications like fraud detection or personalization
- Creating interactive data and decisioning apps
- Automating business processes with AI agents
- Unifying data warehousing and data engineering workloads
- Enabling natural language analytics for business users
Pricing
Pay-as-you-go with per-second billing; committed use contracts available for discounts. Pricing details not publicly listed; requires contacting sales.
View current pricingPricing is gathered from the company's public pages and may change. Check the vendor's site before buying.
Pros and cons
Strengths
- Unified platform reduces infrastructure complexity and cost
- Open lakehouse architecture avoids vendor lock-in
- Strong governance and security features
- Scalable from startups to enterprise workloads
- Large partner ecosystem and customer base
Limitations
- Pricing is not publicly listed; requires contacting sales for quotes
- Complex platform may require technical expertise to set up and manage
- No free tier; only a free trial is offered
- Costs can be unpredictable due to usage-based pricing
What sets it apart
- Founded by the creators of Apache Spark, Delta Lake, MLflow, and Unity Catalog
- Unified lakehouse architecture that combines data warehousing and AI
- Serverless Postgres database (Lakebase) integrated with the lakehouse
- AI agents grounded in enterprise data with governance built-in
Ecosystem
Integrations
Notable customers
Frequently asked questions
What is Databricks?
Databricks is a data and AI company that provides a unified platform for data engineering, analytics, and AI, built on an open lakehouse architecture.
Who founded Databricks?
Databricks was founded in 2013 by the original creators of Apache Spark, Delta Lake, MLflow, and Unity Catalog.
How does Databricks pricing work?
Databricks uses a pay-as-you-go model with per-second billing. Committed use contracts are available for discounts. Pricing details are not publicly listed and require contacting sales.
What cloud providers does Databricks support?
Databricks runs on AWS, Azure, and GCP.
Does Databricks offer a free trial?
Yes, Databricks offers a free trial. There is no free tier, but a free trial is available.
What is the Databricks for Startups program?
Qualifying startups can receive up to $200K in credits for Databricks and Neon, along with technical and go-to-market support.
Sources
This profile was compiled from the company's own pages and public web research.
- https://www.databricks.com/
- https://www.databricks.com/developers
- https://www.databricks.com/product/startups
- https://www.databricks.com/customers
- https://www.databricks.com/product/pricing
- https://www.databricks.com/company/about-us
Last researched August 11, 2026.
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