Databricks has unveiled significant innovations at its Data + AI Summit, introducing a Lakebase Postgres database layer and Agent Bricks for automated AI agent development. Co-founder and CEO Ali Ghodsi emphasized Lakebase as a modern, fully managed database that integrates seamlessly with Databricks’ lakehouse platform, addressing the limitations of traditional operational databases. The event highlighted plans for unifying operational and analytical systems to empower real-time decision-making, with Lakebase supporting broad data integration from over 300 sources.
Analyst Jason Ader noted a roadmap focused on establishing the lakehouse architecture, embedding AI capabilities, and creating a transactional layer. New partnerships with Microsoft and Google Cloud enhance integration with enterprise applications and AI models. Databricks also announced new tools like Lakeflow Designer for no-code ETL and Databricks One for business user interaction with data analytics. The company projects $3.7 billion in annual revenue by mid-2025, aiming for significant growth while expanding its workforce.
Source link
