🐍 Python UDTFs in Unity Catalog let you define Python logic once and use it anywhere in your lakehouse, from SQL warehouses to UC clusters to serverless compute. They’re discoverable, shareable, and governed like any other Unity Catalog asset, making it easier to apply

We’re excited to share that our customers have day-one access to OpenAI GPT-5.2 on Databricks! GPT-5.2 delivers strong gains on OfficeQA, our benchmark for grounded enterprise reasoning, and is now available on our platform with native Response API support. Paired with Agent

Every successful AI project starts with clean, reliable data. In this video, Databricks Principal Technical Evangelist Viktoria Semaan explains how the medallion architecture helps teams move from raw data to validated tables to actionable insights at scale. Try it yourself

📄 ai_parse_document is a new AI Function that makes it easy to extract structured content from unstructured documents, so you can leverage all your data with your AI. Databricks MVP Conner Schiissler tried it across real documents and was impressed by the results:

Databricks CEO @alighodsi joined @FortuneMagazine Brainstorm AI 2025 to discuss the future of the AI market, and how Agent Bricks is transforming organizations across industries. “It’s a commodity now to have AI that has general knowledge, but it’s very elusive to get AI that

We’re proud to share that Databricks is a Leader in two 2025 @Gartner_inc Magic Quadrant™ reports for Cloud Database Management Systems and for Data Science and Machine Learning Platforms! We believe this recognition highlights the strength of our open platform and new

LLMs are claimed to reach PhD intelligence, but still fail mundane tasks. To understand this challenge, Databricks launched OfficeQA, a benchmark of useful tasks that require reliability&diligence, not specialized knowledge. We're also doing a competition!

Distributed ML is now in Public Preview on both serverless and standard clusters, enabling teams to scale training and tuning workloads without managing dedicated infrastructure. One unified compute experience with built-in security, fine-grained access control and smooth

Databricks. You can learn it in just 2 hours in this weeks video! Learn how to: 1. Import Data from flat files and connect to Data Sources 2. Analyze data using SQL Editor and Notebooks 3. Visualize and Create Dashboards 4. Use AI to code and talk with our Databases The best

Today we’re introducing OfficeQA, a new benchmark grounded in ~89,000 pages of U.S. Treasury Bulletins that reflects the complex, document-heavy tasks enterprises actually face. Unlike existing benchmarks, OfficeQA measures economically valuable, real-world reasoning: parsing

Databricks on @googlecloud now supports Axion-based C4A VMs, delivering up to 65% better price-performance and 60% better energy efficiency for SQL, AI/ML and ETL workloads. C4A works seamlessly with the Databricks lakehouse architecture and integrations like serverless SQL,

MLflow 3.7.0 is here and it brings major features and improvements for GenAI Observability, Evaluation, and Prompt Management! 🙌🥳 🔗 View the release notes: https://t.co/abTyawlsto 𝙼𝚊𝚓𝚘𝚛 𝙵𝚎𝚊𝚝𝚞𝚛𝚎𝚜 ⚗️ 𝗘𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁 𝗣𝗿𝗼𝗺𝗽𝘁𝘀 𝗨𝗜: Manage and search

Learn how to build production-ready data and AI apps with Databricks Apps and Lakebase. Run a full-stack app on Databricks, keep data updated within seconds, and deploy the entire stack as code on one platform: https://t.co/moiDYRg9tI

The new IDE for Data Engineering introduces a unified way to build Lakeflow Spark Declarative Pipelines in the Databricks Workspace. Code, dependency graphs, data previews, debugging tools and Git all sit in one place, making pipeline development faster, clearer and easier to

Dashboards are where your data comes to life. In this video, @Alex_TheAnalyst walks through analyzing a sales dataset in Databricks Free Edition, building bar, pie and line charts, and applying global filters—all using SQL, notebooks and dashboards. Follow along step-by-step

[Demo] See how Databricks makes Scala development faster and simpler with Serverless JAR Tasks and the Beta of Serverless Scala Databricks Connect. This end-to-end demo walks through building, deploying, and running JAR jobs on Serverless compute using Databricks Asset Bundles,

“GenAI makes it so easy to create a great demo. But the challenge is not the demo — it’s getting to production.” From the show floor at #AWSreInvent, Craig Wiley, Sr. Director of Product for AI/ML at Databricks, explains how the Databricks + AWS partnership helps enterprises

Join this event to see how @MLflow GenAI helps developers build and evaluate agents and NANDA infrastructure to deploy and coordinate the next wave of agentic systems! 👇

“Our data estate in 2020 was extremely fragmented… Databricks became our central lakehouse due to its seamless integration with AWS storage, compute, and activation stack.” During yesterday’s #AWSreInvent Partnership Advantage keynote, Sanjay Bhakta, Chief Product & Technology

The new Sample Data Exploration experience in Unity Catalog lets you ask natural language questions like “Which region has the highest sales?” and get instant answers or visualizations right on the sample data page 🔎 Powered by Databricks Assistant, it brings built-in