DeepSeek V4.1 Flash 1017 is now available on Databricks as a new endpoint. Same architecture, updated weights, with substantial improvements across reasoning, coding, agentic tasks and visual benchmarks.

Open table formats are important. But they don’t answer the harder question: who actually controls the data, and can you move it without copying everything somewhere else? That’s the standard we use for openness in Unity Catalog. Your managed tables can live in customer-owned storage. The best table features work on those tables. And with REGISTER and UNREGISTER in Private Preview, tables can move between catalogs while the underlying data stays in place. For us, an open catalog should give you storage ownership, full capabilities on the tables you own, and a clean way out. databricks.com/blog/what-mak…

New York is becoming one of Databricks’ biggest AI hubs. 🗽 We’re expanding at 5 Bryant Park to ~120,000 square feet across five floors, including a dedicated Engineering and Research floor. With teams building technologies behind Genie, Unity Gateway and CustomerLake, our momentum in NYC is only growing.

[DEMO] With Git worktrees and Lakebase Postgres database branching, each coding agent gets its own isolated, copy-on-write branch to run migrations, test changes, and experiment without affecting other environments. GitHub Actions then creates a fresh database branch per PR to validate migrations and preview the app before anything reaches production. Watch the full workflow: youtube.com/watch?v=RPsyHKiW…

The energy has been electric at #DataAIWorldTour 2026, and we’re not even halfway through! Next up: 🌬️ Thu, Oct 29 — Chicago 🇩🇪 Wed, Nov 4 — Munich 🍑 Tue, Nov 10 — Atlanta 🇳🇱 Tue, Nov 10 — Amsterdam 🇬🇧 Wed, Nov 11 — London Across each stop, learn how organizations are grounding AI in enterprise data and business context, governing data and AI usage, and putting apps, agents and analytics into production. Find a stop near you: databricks.com/dataaisummit/…

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 🐻

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/ebo…

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

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…

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/a… 🔗 GitHub repo for this series: github.com/viktoriasemaan/ag…

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/r…

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/newsr…

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/web…