BASF Coatings is using a multi-agent supervisor architecture built with Agent Bricks to bring structure and specialization to complex enterprise data. By combining AI/BI Genie for governed insights on structured data with vector search for unstructured sources, the team created
@databricks
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AI Gateway: Cost Control and Governance for AI Operations
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Between large context windows, looping coding agents, and thousands of unnecessary commits, AI costs can quickly add up.
— Databricks (@databricks) 21 décembre 2025
AI Gateway brings order by routing every request through one place, so teams can enforce policies, limits, and governance. With centralized permissions, load… pic.twitter.com/DFKL6vSpThBetween large context windows, looping coding agents, and thousands of unnecessary commits, AI costs can quickly add up. AI Gateway brings order by routing every request through one place, so teams can enforce policies, limits, and governance. With centralized permissions, load
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Databricks IDE: Data Pipeline Authoring and Testing Tool
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The IDE for Data Engineering is everything you need to author and test data pipelines, directly inside the Databricks Workspace.
— Databricks (@databricks) 20 décembre 2025
The IDE is designed to improve productivity and debugging with features like dependency graphs, built-in data previews and execution insights.
Now… pic.twitter.com/VeW4MUkTlpThe IDE for Data Engineering is everything you need to author and test data pipelines, directly inside the Databricks Workspace. The IDE is designed to improve productivity and debugging with features like dependency graphs, built-in data previews and execution insights. Now
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Lakebase and Agent Bricks: AI-powered software development foundations
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"Software engineers are not going to stop using AI to build software, and those applications need a database, which is why we built Lakebase. Teams also increasingly want to use agents, which is why we built Agent Bricks. We’re continuing to invest in these foundations to help
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Databricks Clean Rooms Enable Privacy-Centric Data Collaboration
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Data collaboration is the backbone of modern AI innovation, especially as organizations work with external partners to unlock new insights. Databricks Clean Rooms enable privacy-centric collaboration by letting partners run shared analysis on sensitive data without exposing raw
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Databricks invests $330M in Lovable’s AI-native development platform
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Databricks Ventures is investing in Lovable’s $330M Series B to power the age of the builder. As AI transforms how software is created, @Lovable reflects a broader shift toward more accessible, AI-native application development. Their growth highlights the demand for opening
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Lakebase Upgrades: Serverless Autoscaling and Instant Database Features
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We're introducing a set of upgrades to Lakebase that simplify how teams manage operational data for Data Intelligent Applications. What's new, including eagerly-awaited @neondatabase features:
– Serverless autoscaling with scale to zero, for dynamic workloads
– Instant database -
Model Convergence Shifts AI Differentiation to Data Foundations
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On @TBPN
, Databricks CEO and co-founder @alighodsi joined @johncoogan and @jordihays to discuss how model capabilities are converging, and why differentiation increasingly comes from strong data foundations and reasoning over proprietary data. They also talked about how -
Databricks Free Edition Hackathon Winners Announced VidMind
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We’re excited to announce the winners of the inaugural Databricks Free Edition Hackathon! Builders from 16 countries used Free Edition to turn ideas into real demos across data and AI. 1st Place: Narender Kumar – VidMind, transforming unstructured video into searchable insights
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Databricks CEO discusses AI future and Series L funding round
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Databricks CEO @alighodsi joined CNBC’s @jonfortt to discuss the future of AI, how organizations are using data-intelligent applications to automate work, and how our Series L funding round will accelerate our development of product innovation. “We’re putting [our investments]