Databricks @databricks

Saturday night under the lights at Databricks Field at California Memorial Stadium. Cal vs. Wake Forest. Databricks on the field, on the helmets and in the stands. Kickoff at 7:30 PM PT. #GoBears 🐻

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Restoring a 100 TB database with Lakebase Postgres takes seconds. How? A branch-based restore is a metadata operation. It creates a branch at a point in time, referencing immutable history that already lives in decoupled storage. No copying data, no replaying WAL. Recovery is near-instant regardless of database size, and simple enough for agents to use in branching and undo workflows. databricks.com/blog/lakebase-…

Decide faster. TypeSafe's Jev-1.14 is now available on Databricks. Jev isn't a text generator. It's a structured decision model. It classifies, scores, and returns calibrated probabilities, resolving each decision in roughly 70 to 500 milliseconds, 20 to 200 times faster and up to 400 times lower cost than standard LLMs. For Databricks customers, that means real-time decisioning across millions of records at a fraction of the cost. With our frictionless access, you can get started testing Jev right away. Put Jev to work directly on the data in your Lakehouse through ai_classify and ai_decide. Tag documents, route records, and score decisions across millions of rows, with every call governed, monitored, and secured by Unity Gateway. Try Jev → dbricks.co/3TQncpg

The fifth edition of the Big Book of Data Engineering is here. This one covers how to bring ingestion, transformation, and orchestration onto a single governed platform, build millisecond-latency streaming pipelines at scale, and use built-in AI agents to accelerate pipeline authoring and resolve data failures. Includes real-world examples from NAB, Panasonic, Toyota, AccuWeather, Daikin, and Coinbase. 📙 Download now: databricks.com/resources/eboo…

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Congrats to @reflection_ai on the Beam launch. Excited to see what builders create 🫡

Reflection @reflection_ai

2 days ago

Beam is now available across platforms, with open weights under the Apache 2.0 license - in collaboration with an ecosystem of 40+ partners. We're releasing: - Weights, tokenizer, and reference implementation - BF16, FP8 and NVFP4 weights and a DFlash2 drafter - The open source

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Neon now has realtime, built by the team behind Electric. Turn any SQL query into a live query, joins and aggregates included. All inside Postgres, and ready for agents. It’s in public beta and available in all Neon plans. Give it a try and tell us what you think!

We published a step-by-step playbook for rolling out Genie One across your organization 👇 The teams that get this right tend to start small: one team, one governed data domain, a set of questions with known-correct answers. They earn trust with a handful of users, act on feedback, then widen deliberately. The playbook walks through each phase, from a first-team pilot to org-wide AI coworkers, with governance and evaluation built into every step. databricks.com/blog/how-roll-…

@ClaudeDevs Databricks is super excited to be a launch partner! Send traces from Claude agents straight into Unity Gateway to monitor, debug, and govern them with the rest of your AI estate 🫡

The more AI tools you add, the harder it gets to answer a basic question: how much are you actually spending, and on what? Unity Gateway gives you one control plane for all of it. Define access and spending once across your models, agents, MCP servers, and tools. Route multiple models behind a single endpoint. Swap providers without changing anything for users. Every request gets logged, so you can see cost per model, per user, per tool. 🔗 Learn more about Unity Gateway: docs.databricks.com/aws/en/ai-gate… 🔗 GitHub repo for this series: github.com/viktoriasemaan…

Gemini 4 Argon is available on Databricks today, day 0️⃣. We had early access and ran it through our internal benchmarks. It's the strongest @Google Gemini model we've tested, with the best results on our internal coding tasks and OfficeQA Pro V2, our flagship enterprise agentic benchmark. Point it at the data already in your Lakehouse. Unity Gateway handles governance, monitoring, and security for every call. Try Gemini 4 Argon → docs.databricks.com/aws/en/release…

Game predictions. Player comparisons. Live Excitement Scores. Vibe Checks. FOX Sports AI delivers all of it to fans during major live sporting events, built on Databricks Lakebase. Today we’re excited to announce a multi-year strategic partnership with Fox Corporation, making Databricks FOX's platform for data, AI apps, and agents. Sports AI is just the start. FOX is also using Lakebase, Genie Code, Unity Gateway, and Genie Ontology across streaming, content recommendations, and more. Read the full story: databricks.com/company/newsro…

AI that can query your data but doesn't understand your business is just a faster way to get wrong answers. We built Genie Ontology to close that gap. It teaches AI how your business actually runs, what each metric means, which sources are authoritative, and what each person is allowed to see. See how it works: databricks.com/resources/webi…

Super excited to welcome the Responsive team to @databricks/@neondatabase to help take Lakebase Postgres to the next level. The best database is a lakebase!

Apurva Mehta @apurva1618

6 days ago

I’m excited to announce that Responsive has been acquired by Databricks to accelerate the development of Lakebase and Neon! We couldn't be more excited to join the Lakebase team. We've long admired their technical vision, and the more we got to know them, the more impressed we

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Stateful streaming queries on Databricks can now be repartitioned without rebuilding the checkpoint or losing state. Stop the query, set the new partition count, restart. State redistributes automatically 🔀 databricks.com/blog/announcin…

Welcome to Databricks! Excited to build what’s next for Lakebase together 🤝

Apurva Mehta @apurva1618

6 days ago

I’m excited to announce that Responsive has been acquired by Databricks to accelerate the development of Lakebase and Neon! We couldn't be more excited to join the Lakebase team. We've long admired their technical vision, and the more we got to know them, the more impressed we

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[DEMO] Have a conversation with Genie One. Then save it as a Genie Agent that remembers everything you discussed. In this demo, we build a blog performance monitoring agent by walking Genie One through a bi-weekly reporting workflow once. Genie picks up the blog URLs, fiscal year definitions, and the two-week comparison format. From there, the conversation becomes a Genie Agent that runs the same report with a single prompt and can be scheduled for automatic delivery to your inbox. - One conversation - A reusable agent - No reprompting youtube.com/watch?v=bbd-Gp…

#DataAIWorldTour 2026 continues around the globe. Learn how leading organizations are putting AI into production by grounding models in enterprise data and business context. Here’s where we’re headed next: 🇪🇸 Wed, Oct 14 — Madrid 🤠 Wed, Oct 14 — Dallas 🌬️ Thu, Oct 29 — Chicago 🇩🇪 Wed, Nov 4 — Munich 🍑 Tue, Nov 10 — Atlanta 🇳🇱 Tue, Nov 10 — Amsterdam 🇬🇧 Wed, Nov 11 — London 🇨🇦 Tue, Nov 17 — Toronto 🎬 Wed, Nov 18 — Los Angeles (Anaheim) 🗽 Thu, Nov 19 — New York City 🇮🇹 Tue, Nov 24 — Milan 🇯🇵 Fri, Nov 27 — Tokyo 🇨🇭 Tue, Dec 1 — Zurich 🏛️ Tue, Dec 1 — Washington D.C. 🇸🇪 Wed, Dec 2 — Stockholm 🇫🇷 Tue, Dec 8 — Paris Each stop is free, with technical sessions, product demos and hands-on learning. Find your city: databricks.com/dataaisummit/w…

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Admins can now configure coding agents in one place with Unity Gateway. Default models, MCP servers, skills, Smart Routing, spending policies — all centrally managed so developers don't have to set up anything themselves. Developers just type ug claude or ug codex and go. Smart Routing picks the right model. Budget tracking is built in. And when a better model drops, admins roll it out across every agent at once. Watch the full demo: youtu.be/w4FDK9dbTeE

In this 2-hour hands-on course, Andreas Kretz walks through how to build end-to-end data pipelines on Databricks using Spark Declarative Pipelines and Lakeflow Designer. Along the way, you'll: ✔️ Learn the fundamentals of Delta Lake and Unity Catalog ✔️ Build a Bronze → Silver → Gold pipeline using the medallion architecture ✔️ See how declarative pipelines handle dependencies and orchestration automatically ✔️ Build pipelines visually with Lakeflow Designer ✔️ Explore how Databricks Assistant and Genie can accelerate development youtube.com/watch?v=nrfP2_…

A cloud agent may outlive the request, worker, container or deployment that started it. This reference implementation pairs Temporal with Lakebase Postgres so recorded work survives worker replacement, evidence and review state stay queryable, and human decisions can arrive days later. Unity Catalog remains the governed policy source through synced tables. See how to build it: databricks.com/blog/build-dur…