Databricks

Next up on @AltimeterCap First Pass: A conversation with @matei_zaharia from @databricks on Omnigent Agents are in their infancy, and so are the ways we develop and build them. Omnigent is a meta-harness aimed at solving many of the gaps in agent development today

AI assistants are great at handling general tasks, but they miss the critical data context that defines your business. Learn how Genie helps bridge the AI context gap, what analysts own when building with Genie, and explore practical examples from three organizations putting data-smart AI to work. databricks.com/resources/guid…

Discover, install, and run third-party data and AI applications directly in your Databricks workspace. With Apps on Databricks Marketplace, you can: - Install third-party apps in just a few clicks - Run them natively while keeping your data in your environment - Inherit the security, auditing, and fine-grained access controls of Unity Catalog Explore Apps on Databricks Marketplace, now in Public Preview: databricks.com/blog/announcin…

One agent is just the start. Running fleets of AI agents is the next challenge. Join Databricks co-founder @pwendell, @OpenAI's @steipete (creator of OpenClaw) and Engineering Lead for Codex, @thsottiaux, plus @Stellantis' Hugo Sechier, for a live conversation on building and deploying agentic apps at scale. Learn how to govern AI agents with fine-grained permissions and full auditability, and hear how Stellantis is operationalizing agentic AI across the enterprise. Register today: databricks.com/resources/webi…

Lakehouse//RT is built for workloads where milliseconds matter. Powered by the Reyden engine, it delivers millisecond query performance directly on the lakehouse. Preview users have seen up to 16× better performance than dedicated real-time serving layers, with response times as low as 10 ms on smaller datasets. databricks.com/blog/introduci…

The biggest announcements and technical sessions from #DataAISummit are now available on demand. Catch keynotes and select sessions featuring the latest innovations, including: • Omnigent • Unity AI Gateway • Genie Ontology .. & much more Explore the technologies shaping the next generation of AI apps and agents: databricks.com/dataaisummit?u…

As AI teams adopt more autonomous agents, one challenge becomes clear: they don't naturally work together. Omnigent is an open-source meta-harness that sits above individual agent harnesses, routing work across multiple agents through a single orchestration layer. Instead of managing agents in isolation, teams can compose different models and agent harnesses into unified workflows, with shared governance and collaboration built in. Explore the project on GitHub: github.com/omnigent-ai/om…

Omnigent 0.5.0 is Released! Highlights in this release: 📱 Omnigent for iOS apps.apple.com/us/app/omnigen… 🧩 Generic ACP harness 🔎 Command palette & richer search 🎨 More appearance & customization setting 💬 Message steering & queuing ☸️ Kubernetes deployment 🌐 Embedded browser Enjoy! Read more about this release: omnigent.ai/releases/0.5.0

@omnigent_ai Excited for this!

Omnigent Deep Dive + Patio Social 🌤️ Join us for a midday technical talk on the architecture, governance, and real-world deployment of the open-source meta-harness for AI agents, then mingle over food and drinks on the @Databricks Seattle patio! 📅 Wed, July 29 🕛 12:00–1:30 PM PT 🔗 RSVP: luma.com/tech_workshop_… #Omnigent #SeattleTechWeek

OpenAI GPT-5.6 Sol, GPT-5.6 Terra, and GPT-5.6 Luna are now available as Databricks-hosted models through Model Serving. Built for complex problem-solving, coding, and budget-friendly workloads, the GPT-5.6 series uses fewer tokens to complete tasks, making the models highly efficient and cost-effective. Access all three through Foundation Model APIs on a pay-per-token basis. #openai-gpt-56-sol-gpt-56-terra-and-gpt-56-luna-now-available-as-databricks-hosted-models" target="_blank" rel="nofollow noopener">docs.databricks.com/aws/en/release…

"Every stateful system has got to have the ability to create a staging environment, branch what you have, and give agents permission to make mistakes." Databricks' VP @nikitabase joins 𝘐𝘵'𝘴 𝘈𝘣𝘰𝘶𝘵 𝘋𝘢𝘵𝘢 to discuss why branching and version control are becoming foundational for AI-native software development, how teams can manage schema drift as AI accelerates development, and the architectural ideas behind Lakebase. Watch the full conversation: youtube.com/watch?v=ZB2sVr…

Genie One is the data-smart AI coworker that helps business users move from insight to action. With Genie Agents, teams can turn prompts into shareable, autonomous agents that reason over structured and unstructured data. Genie Ontology provides the context layer that helps those agents identify trustworthy sources and understand enterprise knowledge. Together, they deliver AI that's grounded in business context, with higher accuracy and performance. databricks.com/blog/introduci…

Gartner’s Magic Quadrant for Analytics and Business Intelligence (BI) is out, and Databricks was named a Visionary in our first appearance, the highest debut for any vendor in this MQ’s 20+ year history. BI has already changed. Anyone can drill from a signal down to the truth behind it and agentic loops make sure every answer has the full story. That’s where we're ahead with Genie and AI/BI. I use it every day to see the key signals, understand what changed and why, and decide what to do about it. Huge congratulations to the teams, and thank you to our customers.

The best of #DataAISummit is now available on demand. Watch keynotes and select sessions featuring the latest product announcements, technical deep dives, and expert conversations. Start watching: databricks.com/dataaisummit?u…

“The attackers are now hyper-automated with agents and large language models that can find vulnerabilities that haven't yet been found by the people who wrote the software.” Databricks’ @krioukov and NAB’s Patrick Wright joined @theCUBE to discuss what security looks like in the age of AI. Their conversation covers how broader data context, automation, and agentic workflows can help security teams move beyond manual investigations toward machine-speed defense. youtube.com/watch?v=MBx51U…

At 11k employees, our AI costs are going up. Which model & harness should we use to lower cost but also retain great quality? We didn't want to blindly trust public benchmarks. So we ran a comprehensive evaluation on our tasks, code base, infra. It's been produced by more than 3,000 software engineers, spans 3 hyperscalar clouds and many languages and tasks. The results are surprising. We find that for the SAME mdoel, the choice of harness can significantly save costs (~2x). We also find that GLM 5.2 performs extremely well. We run Omnigent in front of these and can easily multiplex different harnesses and models for different tasks. Check it out: databricks.com/blog/benchmark…

We benchmarked coding agents on real engineering tasks across Databricks' multi-million line codebase to better understand the relationship between cost and performance. The benchmark surfaced several key findings. Top-tier performance now comes from a mix of proprietary and open models, token pricing is a poor proxy for real-world cost, and harness choice can dramatically impact both cost and quality. Read how we built the benchmark and what we learned → databricks.com/blog/benchmark…

We benchmarked coding agents on our own internal tasks at Databricks and learned a lot! There are many surprising opportunities to lower cost and increase quality, and many models including open source ones are truly competitive now. 🧵

Agent Bricks has expanded into a comprehensive agent platform for developers. The latest capabilities are designed to help solve three critical challenges in production AI agents: 1️⃣ Choice 2️⃣ Context 3️⃣ Control New capabilities include broader model support, managed agent memory, MCP connectivity, secure sandboxes, and Unity AI Gateway for governance, monitoring, and cost controls, helping developers focus on building production AI agents. databricks.com/blog/agent-bri…

Happy 30th birthday Postgres! 🎉 What an accomplishment, almost nothing in tech has stayed relevant for 30 years. From humble beginnings as a Berkeley research project to becoming the default for everything from side projects to massive production systems. 30 years later, the database and the community have more momentum than ever. It's why we built Neon on Postgres, serverless, but 100% the Postgres you love. 🐘