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Lakehouse for companies born in the cloud

Build and scale data, analytics and AI capabilities faster on one high-performing data platform

Next-Generation Products Built on Databricks Lakehouse

Hear from Built on Lakehouse customers Hunters and Kythera Labs as they share about innovating with data, their journey to the Lakehouse, data platform considerations and architecture guidance.

The faster you grow, the more complex your data gets. Innovate faster on the Databricks Lakehouse Platform — a simple, cost-efficient approach to data, analytics and AI making thousands of digital native businesses and startups more productive.


Innovate with open source flexibility

Use your data however and wherever you want — no vendor lock-in. Apache Spark™ developers created the lakehouse with open formats and APIs.
See open source projects

Build scalable data workloads

Ensure reliable, lightning-fast performance on ETL workloads — for streaming and batch data — while Databricks automatically manages your infrastructure.
See data engineering
Value Action

Access data insights faster

Ingest, transform and query all your data in one place. Stop managing servers and scale on demand with serverless. Up to 12x better price/performance.
See Databricks SQL

Develop next-gen apps with ML

Speed up your ML lifecycle from experimentation to production. Boost productivity with tools like collaborative notebooks, MLflow and MLOps.
See ML capabilities
Built-On Databricks Programs

Built on Programs

Build your data-driven applications on the lakehouse and accelerate your business growth with Databricks

Databricks for Startups

Get started quickly with the startup program. Discover how to get free credits, expert advice and go-to-market support.

Learn more

Built on Partners 

Become a built on partner to gain access to technical, go-to-market, and co-marketing benefits to help scale your reach and grow your business.

Learn more

Next-generation businesses built on Databricks


Solution architectures for digital native businesses


High-performing, scalable ETL pipelines

Build an end-to-end data engineering and ETL platform that lets you focus on delivering valuable insights on any cloud. No more building and maintaining pipelines or running ETL workloads.

Leverage production-ready tools including Delta Live Tables, Unity Catalog and Workflows.

Enjoy robust Git integration, orchestration and data quality controls.

Unify batch and streaming operations on a simplified architecture, and streamline data pipeline development and testing.

Ensure data quality and enhanced data skipping with Delta Lake — an open source file protocol usable by Apache Spark, Trino, Presto, Flink and more.


SQL analytics and data warehousing

Easily ingest, transform and query all your data in one place to deliver real-time business insights faster.

Run all your SQL and BI applications at scale with up to 12x better price/performance. Ensure data governance and security.

Handle high concurrency with fully managed load balancing and scaling of compute resources.

Leverage open formats and APIs, and the ingestion, transformation and BI tools of your choice with custom-built connectors.

Reduce resource management overhead with serverless compute.


Innovative machine learning

Accelerate ML and data science by improving productivity and collaboration on the lakehouse.

Leverage collaboration tools and options for glass-box AutoML.

Prepare, process and manage data and features in a self-service manner — as well as manage models — and with a hosted Feature Store.

Standardize the ML lifecycle from experimentation to production through MLflow to track model parameter, metrics and iterations over time.

Deploy models in a batch or with serverless real-time REST endpoints.

Solving Common Data Challenges
Technical guide

Solving Common Data Challenges

For Startups and Digital Native Businesses

Learn how to support data use cases as you scale while boosting cost efficiency and productivity. You’ll benefit from architecture diagrams, step-by-step solutions and quickstart guides. You’ll also find real-life use cases from leading companies such as Grammarly, Rivian, ButcherBox, Abnormal Security, Iterable and Zipline.

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