Databricks Free Edition just got even better for builders. New in Free Edition: → Agent Bricks → Genie Code → Serverless GPUs → Lakebase → Lakeflow Designer With these additions, Free Edition now includes every core Databricks practitioner feature, giving users a complete, free toolkit for building end-to-end data and AI projects. Start building with Free Edition today: databricks.com/blog/whats-co…

As data volumes and complexity grow, data engineers need scalable ways to build, manage, and optimize pipelines. 📕 The Big Book of Data Engineering covers proven patterns for scaling ETL, orchestrating data and AI workloads, implementing observability, and managing pipelines with Lakeflow. You'll also see how organizations across Healthcare, Financial Services, Retail, and Entertainment are building intelligent batch and streaming data pipelines. databricks.com/resources/ebo…

We are happy to announce #Omnigent v0.3.0! Major new features 🤖 Seven new agent harnesses: #Hermes (SDK + native TUI), #GitHub #Copilot (SDK), #OpenCode, #Goose, #QwenCode, #Kiro, and #KimiCode; plus #Antigravity promoted to a full SDK + native #agy CLI harness 🪢 Native-harness parity across the fleet: compaction, cost/token tracking, resume, true fork with history, in-session model switching, and tool-approval / AskQuestion web cards, for #cursor, #codex, #qwen, #pi, #hermes, #goose, and #opencode 🖥️ Omnigent Desktop: now manages the server + runner automatically 🗂️ Projects workspace:vgroup sessions into Projects and drag between them, plus a Settings surface and per-harness run-mode memory 🧭 Intelligent model router to pick the right model per turn 📦 More deploy & sandbox targets: host on #Databricks Apps + #Lakebase #Postgres, #AWS #Bedrock provider, on-demand #Kubernetes runner #Pod sandbox, and a #boxlite managed host 🪟 Native #Windows support 🕵️ Custom #Agent Creation UI 🔌 In-app #MCP management from Agent Info, sys_session_share agent-facing session sharing, and web UX polish — shortcuts overlay, pinned-session hotkeys, image lightbox Read details about this release: github.com/omnigent-ai/omnig…

AI upskilling works best when learning is continuous, hands-on, and accessible across the organization. That’s why we’re launching Databricks Academy Pro with unlimited access to: • Self-paced learning • Live instructor-led training • Hands-on labs and certification opportunities Built to help teams continuously develop data and AI skills as platforms, tools, and governance requirements evolve. databricks.com/blog/why-tale…

Still catching up on everything from #DataAISummit 2026? Last week, leading experts, researchers, and open source contributors from Databricks and across the community shared the latest innovations, product announcements, and technical insights shaping the future of data and AI. Catch keynotes, breakout sessions, and technical talks from this year's event on-demand: databricks.com/dataaisummit?…

Update from my post from 2 months ago when Genie Code just passed the threshold of being half the code generated on @databricks. Attached the new update from today, AI is now 3x the code written by humans on the platform!

Shipping a data or AI application shouldn’t require months of DevOps work. This hands-on guide shows how to build, deploy, and operate production-ready applications on Databricks using transactional data layers, built-in governance, and repeatable deployment patterns. You'll get end-to-end application examples, code snippets, and practical guidance for moving from notebooks and prototypes to production 👇 databricks.com/resources/ebo…

We recently announced Genie ZeroOps, a new AI background agent that monitors your production workloads, investigates issues, and suggests fixes. As organizations deploy more pipelines, models, dashboards, and apps, maintaining production workloads has become a growing challenge. Genie ZeroOps monitors production assets, automatically investigates issues using platform intelligence, and suggests fixes that are tested in a sandbox environment before they reach production. Genie ZeroOps helps teams scale agentic ops while staying in control. Coming soon in Private Preview. databricks.com/blog/introduc…

Databricks co-founders @matei_zaharia and @rxin joined @latentspacepod following #DataAISummit to discuss the ideas shaping the next generation of data and AI, including Omnigent, LTAP, Lakebase, agent security, open formats, and what it takes to build for the agent era. Watch the full conversation for a behind-the-scenes look at the thinking behind some of this year's biggest announcements. piped.video/watch?v=Yp_u1Npb…

In this 2-hour hands-on course, @andreaskayy 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 piped.video/watch?v=nrfP2_fr…

You may have heard that GLM-5.2 at 328 token/s is cool, How about 392? Databricks is now #1 in inference speed for GLM-5.2 on Artificial Analysis. It's a great model, and we did a lot of optimizations.

Databricks Co-founder and Chief Architect @rxin announces LTAP (Lake Transactional/Analytical Processing) at #DataAISummit 2026. LTAP is a new data processing architecture that unifies OLAP and OLTP on a single copy of data in the lake, eliminating ETL, replicas, and pipelines by design. databricks.com/company/newsr…

Why the Frontier Ecosystem must be Open — Matei Zaharia and Reynold Xin, Databricks latent.space/p/databricks @databricks cofounders @matei_zaharia and @rxin explain why Databricks is moving into the infrastructure layer for enterprise agents, how Omnigent creates a shared harness for coding agents and custom agents, why LTAP and Lakebase rethink the split between operational and analytical databases, why agent security needs contextual policies and spend controls, and why the future of software may be as simple as getting the right data in place and putting agents on top.

You ship code in seconds and build apps, agents, and AI products faster than ever. So why does your database still take hours to provision? Lakebase is a new category of serverless Postgres database built for the way teams write software today, with instant branching, separate compute and storage, and architecture designed to scale with app and agent workloads. Read 𝘓𝘢𝘬𝘦𝘣𝘢𝘴𝘦 𝘍𝘰𝘳 𝘋𝘶𝘮𝘮𝘪𝘦𝘴 to learn: • Why traditional databases break down under modern app and agent workloads • How separating compute from storage changes cost, speed, and reliability • What instant branching and cloning unlock for development teams • How the lakebase architecture fits alongside your lakehouse for unified transactional and analytical work databricks.com/resources/ebo…

We're proud to be named a Leader in the 2026 Gartner® Magic Quadrant™: AI Platforms for Data Science and Machine Learning! Databricks is positioned highest in Ability to Execute and furthest in Completeness of Vision for the second year in a row. If you're evaluating AI platforms, this is the report to start with. Get the report: databricks.com/resources/ana…

When electric motors were invented, factories didn't become dramatically more productive overnight. The biggest gains came years later, after people redesigned factories around the new technology. @databricks co-founder and Chief Architect Reynold Xin (@rxin) believes AI is creating a similar shift in software. In this fireside with YC's @sdianahu, Reynold explains how AI agents are reshaping engineering organizations, why startups have an advantage in building AI-native products, and why the next generation of infrastructure needs to be lightweight, scalable, and built for agentic workloads from day one.

Databricks co-founder and CEO @alighodsi joined @EdLudlow on @BloombergTV to make the case that enterprise AI is already smart enough. What is holding agents back is context, not raw intelligence, and that is the gap Genie Ontology is built to close. "We really want to infuse context into the existing AIs. When you can do that, magic happens," said Ghodsi. Watch the full interview: piped.video/watch?v=n8lhvIIa…

5 million people watched my latest @chartsncrafts video explaining Databricks 😱 so I decided to one-up myself in a p2 trying to explain the entire AI stack… Models! Harnesses! A fancy new open source meta-harness! Thrilled to partner with @databricks on this one to help unveil Omnigent which I believe is going to entirely change the AI landscape. Hope you find it helpful

We're launching a new Databricks Startup Program! Qualifying venture-backed startups can now receive up to $200K in credits across Databricks and @neondatabase, giving founders access to the app backend, data, and AI stack they need to go from idea to product-market fit. The program also includes: • One application to access the full Databricks platform • Hands-on technical guidance to help teams architect and ship faster • Go-to-market support, partner access, and founder community connections Wondering if you qualify? Learn more about the program and apply today: databricks.com/blog/announci…

Most agentic apps never make it past the prototype stage. Join Databricks co-founder @pwendell, OpenClaw creator @steipete, @OpenAI's Thibault Sottiaux, and @Stellantis' Head of Agentic AI, Hugo Sechier for a live discussion on what it takes to build, deploy, and manage production-grade fleets of AI agents. What they'll cover: • What separates a demo from a production agent • How to govern agents across your organization • How to manage data securely at scale • How leading teams are operationalizing agentic AI Register today: databricks.com/resources/web…