Databricks Unveils Lakebase AI Operational Database
Databricks launches Lakebase, a fully-managed Postgres database designed for AI applications, unifying analytics and operations on its Data Intelligence Platform.
Databricks, the Data and AI company, has announced the launch of Lakebase, a fully-managed Postgres database built for AI applications. This new offering integrates operational database capabilities into Databricks' Data Intelligence Platform, enabling developers and enterprises to build AI-driven applications and agents more efficiently. Lakebase is now available in Public Preview.
Key Features of Lakebase
- Separated Compute and Storage: Built on Neon technology, Lakebase allows independent scaling of compute and storage, supporting low latency (<10 ms) and high concurrency (>10K QPS).
- Open Source Foundation: Leveraging the widely adopted Postgres engine, Lakebase benefits from a rich ecosystem of extensions and community support, ideal for AI workflows.
- AI-Optimized: Lakebase launches in under a second and offers pay-as-you-go pricing. Its unique branching capability enables low-risk development with copy-on-write database clones.
- Lakehouse Integration: Automatically syncs data with lakehouse tables and provides an online feature store for model serving, integrated with Databricks Apps and Unity Catalog.
- Enterprise-Ready: Fully managed by Databricks, Lakebase includes high availability, point-in-time recovery, and robust security features.
Industry Impact
Lakebase addresses the growing need for converged operational and analytical systems in the AI era. Early adopters like Heineken and Fivetran highlight its potential for personalized recommendations, agent-powered shopping experiences, and clinical trial management.
"We're creating a new category in the database market: a modern Postgres database, deeply integrated with the lakehouse and today's development stacks." — Ali Ghodsi, CEO of Databricks.
Partner Ecosystem
Lakebase is supported by a robust network of partners, including Accenture, Airbyte, Informatica, and Snowplow, ensuring seamless integration with existing enterprise tools.
Availability
Lakebase is now in Public Preview, with significant enhancements planned. Learn more at Databricks Lakebase.
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About the Author
Dr. Sarah Chen
AI Research Expert
A seasoned AI expert with 15 years of research experience, formerly worked at Stanford AI Lab for 8 years, specializing in machine learning and natural language processing. Currently serves as technical advisor for multiple AI companies and regularly contributes AI technology analysis articles to authoritative media like MIT Technology Review.