Databricks

Database branching in Databricks Lakebase uses copy-on-write storage to create fully isolated environments in seconds without duplicating data. Most teams rely on shared staging databases or slow pg_dump copies that drift from production and make testing unreliable. Lakebase branches give every developer, pull request, and CI test run its own isolated environment, with instant point-in-time recovery and programmable ephemeral databases for AI agents through the same API. https://lnkd.in/gR_nVdzp

We just rolled out a ton of new innovations for Databricks Genie. A major update: the new version of Genie can now answer questions beyond the boundaries of a Genie Space. Also new: • New unified Genie chat that finds the right data, dashboard, or asset — ask once, get a trusted answer • Expanded connectors and sources enhance enterprise context alongside your governed data • Genie Mobile (Private Preview): native iOS and Android app • Account-level Genie is now GA What was previously Databricks One is now part of Genie. With the new Genie, users don’t need to know where data lives or which Genie Space to use. They can simply ask a question and get a trusted answer across their entire data estate. https://lnkd.in/gS2pixJC

Databricks has been named one of TIME's 10 Most Influential Software Companies of 2026. The recognition reflects where intelligent analytics and enterprise AI are heading: any employee can query their data in natural language, no programming required. This innovation takes a certain kind of conviction to build. As our CEO Ali Ghodsi puts it: "To win the market, you have to have a non-consensus opinion, and you have to be right." Our next big bet: databases built for the AI era. https://lnkd.in/gheAVM-r

You want to build, not spend hours setting up infrastructure. In this webinar, discover how to go from an idea to a production-ready app faster using modern frameworks, real-time iteration, and serverless Postgres. Join experts from Databricks and Cursor on May 5 (AMER), May 6 (EMEA), or May 7 (APAC) to see how apps can be built and scaled where your data already lives: https://lnkd.in/g2sVb8RW

G2’s Spring 2026 report is out, and Databricks earned another top ranking driven by customer feedback! More than 500 five-star reviews reflect how teams are using the Databricks platform to bring data engineering, analytics, and AI together with unified governance and democratization. We appreciate everyone who took the time to share their feedback. See what customers are saying: https://lnkd.in/ehbY4eC

Data engineering is getting more complex, but it doesn't have to slow you down. The Big Book of Data Engineering is a practical guide packed with how-tos, code snippets, and real-world examples to help you build and scale pipelines faster and deliver high-quality data for AI, BI, and analytics workloads. Inside: - Patterns for scaling ETL pipelines effectively - Orchestrating data, analytics, and AI workloads - Implementing observability for your data pipelines - Using Lakeflow to manage pipelines https://lnkd.in/gAA4raMn

Unity Catalog Business Semantics brings a shared way to define metrics, dimensions, and rules at the data layer. Instead of definitions living inside BI tools, teams and AI agents can work from the same governed logic across dashboards, queries, and notebooks. Metric Views provide consistent KPIs with lineage, permissions, and performance optimizations. The core implementation is being open sourced in Apache Spark to support portability across systems. Unity Catalog Business Semantics is now GA: https://lnkd.in/gbT5e2ji

OpenAI GPT-5.5 is now available on Databricks, with Codex coding workflows and model inference fully governed through Unity AI Gateway. With GPT-5.5 on Databricks, you can: - Power coding workflows with Codex or other coding agents - Build custom agents grounded in enterprise data - Ask business questions in natural language from enterprise data with Genie - Automate document intelligence pipelines with Lakeflow Spark Declarative Pipelines Hear more from our co-founder, Patrick Wendell, and OpenAI CRO Denise Holland Dresser about how Databricks and OpenAI are bringing frontier AI to the enterprise. Get started today: https://lnkd.in/gxZqxP_Z

Lakeflow Designer is now in Public Preview, giving Databricks users a visual, no-code, AI-native way to prepare and analyze data without leaving the platform. A few things that set it apart: - Built natively on Databricks and governed by Unity Catalog, so data stays in place from day one - AI-generated transformations break into discrete visual operators with step-by-step data previews, making it easier to review and trust the output - No per-user licensing, you only pay for compute Available now in Public Preview across all workspaces. https://lnkd.in/gPUhQqGF

“All we know” is that The Chainsmokers are headlining Data After Hours at #DataAISummit 2026! Register to secure your spot. You won’t want to miss this. https://lnkd.in/g-DA9ccR