#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: https://lnkd.in/gxCdJEgu
About us
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).
- Website
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https://databricks.com
External link for Databricks
- Industry
- Software Development
- Company size
- 5,001-10,000 employees
- Headquarters
- San Francisco, CA
- Type
- Privately Held
- Specialties
- Apache Spark, Apache Spark Training, Cloud Computing, Big Data, Data Science, Delta Lake, Data Lakehouse, MLflow, Machine Learning, Data Engineering, Data Warehousing, Data Streaming, Open Source, Generative AI, Artificial Intelligence, Data Intelligence, Data Management, Data Goverance, Generative AI, and AI/ML Ops
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Updates
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Your data team deserves more than dashboards. 📕 The Big Book of Data Warehousing and BI is a practical guide to building the foundation for faster time-to-insight, stronger governance and AI/BI readiness on the Databricks Lakehouse. Inside: • Reference architecture and code samples • Migration strategies and dimensional modeling • Performance and cost optimization at scale • Governance with Unity Catalog • BI integrations and ways to extend BI with AI Download the eBook: https://lnkd.in/gn_iYyRM
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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: https://lnkd.in/g85faFkQ
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🍂 Databricks earned another top ranking in G2's Fall 2026 report, backed by more than 1,000 five-star reviews. Teams are using the Databricks Data + AI Platform to bring data engineering, analytics, and AI together with unified governance. That feedback shapes how we build. Read what customers are saying: https://lnkd.in/ehbY4eC
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Worldpanel by Numerator works with billions of shopper transactions across more than 30 countries. The challenge was making all that data easy to use. So the team built Item Picker on Lakebase. Now users can navigate roughly 18B transaction records and 8K attributes in one fast, governed experience, without waiting on a small group of specialists. One global report that used to arrive 12 days after period end now lands in 1. And because the architecture is reusable, the same foundation can support future AI agents and richer self-service experiences. Explore the full story: https://lnkd.in/gPCgyW_5
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Off-the-shelf industry data models give you a starting point. They don’t capture the specific language, rules and relationships that define your business. Vibe Data Modeling takes a different approach. The open-source agent helps teams build, validate and evolve business-specific data models using roughly 250 modeling rules, while keeping data modelers and business stakeholders in the loop. In this video, see how teams can start with 40 industry models as a baseline, then iterate toward models that better reflect how their business actually works. https://lnkd.in/gRStac6z
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A new Replit integration with Databricks accelerates the development of business apps and deployment on live, governed enterprise data. A four-step setup guide walks Databricks admins, Replit org admins, and end users through going from zero to a governed production app in 15 minutes. Get started: https://lnkd.in/gQz2_fEu
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Workday Data Connect federation is now in Beta in Unity Catalog. Unify people and finance data from Workday with the rest of your enterprise data in Databricks and govern it. Teams on Workday Data Cloud get zero-copy, read-only access to the HR and finance tables Workday shares. Databricks runs the queries, Unity Catalog governs access, lineage, and auditing, and teams can combine current people and financial data with the rest of their enterprise data for analytics and AI, including Genie-powered natural-language exploration, workforce analytics, and financial planning on trusted, governed data. https://lnkd.in/gj8Vg4Ux
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Anthropic's latest model, Claude Haiku 5.5, is now being made available, as a Day 0 launch, on Databricks! It is the cheapest, fastest, and most capable small model Anthropic has ever released. On Databricks' OfficeQA Pro V1 benchmark, Claude Haiku 5.5 delivers ~15% higher quality than Haiku 4.5 at a fraction of the cost. Run Haiku 5.5 & 60+ other models on the data that already sits in Databricks and power your agentic apps and agents. Unity Gateway takes care of governing, monitoring, and securing every call as you scale. Try Claude Haiku 5.5 → https://dbricks.co/3TQncpg
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How do you stop an agent from overspending or taking one risky action too many? Omnigent policies can control both cost and behavior by checking actions before they happen. They can set spending limits, restrict tool usage, and track accumulated risk across a session so the next action can require approval once a threshold is reached.