Introducing Lakebase - Databricks Co-founder & Chief Architect Reynold Xin
Description
Introducing Lakebase, the first fully-managed, multicloud, Postgres-compatible transactional database engine designed for developers and AI agents. Many organizations find that their data layer doesn't scale with their AI applications, leading to an explosion of pipelines that must be managed at all integration points. Lakebase combines the familiarity of Postgres with the scalability of the lakehouse and the agility of Neon's database branching technology. The result is a fundamentally better way to build data-driven applications and AI agents. 00:00 Ali Ghodsi introduces Reynold Xin 00:32 The evolution of analytics systems 01:17 OLTP databases are stuck in the past 04:12 Introducing Lakebase 04:47 Lakebase is built on open source Postgres 05:19 Separation of storage and compute 07:36 Databricks + Neon 08:42 Serverless auto-scalling with Lakebase 09:32 Branching with Lakebase 12:37 What can you do with Lakebase? 13:45 Lakebase Demo 18:05 Lakebase Private Preview customers and launch partners Presenters: Reynold Xin, Co-Founder and Chief Architect, Databricks Holly Smith, Staff Developer Advocate, Databricks See all the new products announced at Data + AI Summit: https…
Description from YouTube. Full content on the video page.
More from Databricks
NewsGovern MCP servers in Databricks #databricks #mcp #aigovernance
Databricks Unity AI Gateway now governs MCP servers, centralizing their management alongside built-in foundation models and LLMs. This integration allows for easier governance and orchestration of various AI components and agents within Databricks.
NewsHow Suntory Turns Data into Faster Decisions with Databricks
Suntory uses Databricks to integrate diverse datasets, including internal sales, macroeconomic factors, and consumer behavior, into "Project Brain" for faster decision-making and product launches. The company also implements an all-employee upskilling program, "Manabi no Michi," to empower its workforce to leverage AI for improved performance and efficiency.
NewsAIA Group x Databricks: Turning Regulated Data into Real-Time Intelligence
AIA Group leverages Databricks to manage regulated data across 18 markets, addressing challenges like data residency and varying tech maturity with features like Unity Catalog for governance. The platform enables real-time intelligence for investment decisions, fraud detection, and personalized agent coaching, with future plans for conversational analytics and autonomous AI.
TutorialsConnect Google Sheets to Databricks
The Databricks Google Sheets add-in allows users to explore, import, and refresh governed data from the Databricks Lakehouse directly within Google Sheets. It demonstrates how to browse Unity Catalog, select tables or metric views, apply filters, schedule data refreshes, and use direct SQL queries with parameters.
NewsNo More Table Locks for Multi Statement Transactions #databricks #dataengineering #sql
Databricks now supports multi-table transactions, allowing changes to multiple tables within a single atomic transaction that rolls back all changes if any part fails. This feature, managed by Unity Catalog, prevents table locking during updates and supports up to 100 tables per transaction using a simple "BEGIN ATOMIC...END" syntax.
NewsMay 2026 Databricks Updates: No Code ETL, New GPUs and Death of the Dashboard
Databricks announced several updates including AI Prep Search for document chunking and vector database preparation, SQL vector functions for embedding mathematics, and the general availability of multi-table transactions. They also introduced Lakeflow Designer for visual, no-code data pipeline creation and updated their serverless GPU offerings to include H100s.