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Lakebase

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Headlines · 5

  1. Snorkel AI uses Lakebase branches for isolated PR databases

    Databricks Blog reports that Snorkel AI uses ephemeral Lakebase branches for each pull request in its Kubernetes-based CI pipeline, allowing tests to run against production-like data without sharing databases. The vendor says provisioning dropped from over 20–30 minutes to a target of under 60 seconds at p95, while the p95 result remains marked for verification and rollout reached 60–70 developers.

    Databricks Blog · 🔥 9
  2. SAP and Databricks expand AI capabilities in SAP Business Data Cloud

    SAP and Databricks announced an expanded partnership that plans to bring Genie, Lakeflow, Unity Gateway and Lakebase to SAP Databricks within SAP Business Data Cloud. The companies also plan a bidirectional Genie-Joule integration, while SAP Application Data Foundation makes SAP application data available without custom extraction pipelines. SAP Databricks and SAP Business Data Cloud Connect for Databricks are available, but no release dates were provided for the announced additions or the planned integration.

    Databricks Blog · 🔥 9
  3. Databricks and the AI-Powered Future of the Firm

    a16z News argues that agentic automation and employee empowerment could reshape how firms organize work, while explicitly noting that organizations may struggle to evolve in this way. The commentary highlights Databricks’ Lakehouse and Lakebase architecture as a shared system of record that could let employees and agents act autonomously while preserving shared organizational state. It also reports that Databricks sees more queries from agents than people and that agents launch more than 17 million databases daily, though these figures are not independently substantiated in the supplied report.

    a16z News · 🔥 0
  4. Databricks launches Beta Agent Memory for Agent Bricks agents

    Databricks introduced Agent Memory on Agent Bricks, its agent developer platform; it is available in Beta and runs on Lakebase, Databricks' serverless Postgres. It is built on the MemCurrent architecture from Databricks Research, combining plugins that log and load context automatically, tools the agent calls on demand, and an offline "dreaming" pipeline that consolidates memory in the background. Databricks says its internal benchmarks tripled agent pass rate on real enterprise tasks while using 31% fewer tokens, vendor-run figures that have not been independently verified.

    Databricks Blog · 🔥 0
  5. Factory and Databricks partner to build software powered by enterprise data

    Factory announced on October 19 a partnership with Databricks so customers can use data and models in the Databricks Data + AI Platform to power software built or migrated by Factory. Factory said the two companies are helping one large global enterprise move a data platform that powers hundreds of business applications to Databricks, involving petabytes of data and hundreds of thousands of tables, and are folding the migration into a single engineering workflow of agents and automation. The partnership covers three use-case categories—product development lifecycle automation, migration and modernization, and cybersecurity—and Factory said qualifying customers can buy it through the Databricks Marketplace using up to 10% of their existing Databricks commitment.

    Factory News · 🔥 0

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