Learn how the best teams are building AI agents at scale. Data + AI Summit 2026 features 800+ technical sessions on building production agents, agentic architectures, data engineering, governance, and real-world implementations. See how it's done from the teams building it. June 15-18 in San Francisco. Register: https://lnkd.in/gd_2Kw76
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
Products
The Databricks Data Intelligence Platform
Data Science & Machine Learning Platforms
The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data.
Locations
Employees at Databricks
Updates
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Great answers start with a well-curated Genie space 🧞 A Genie space brings together governed data, defined metrics, and business context so teams can ask questions about their data in natural language and get answers grounded in your actual definitions and relationships. Watch how to take it from setup to production-ready. https://lnkd.in/ewk3stqR
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Your best first-party data is already in Databricks. Customer transactions, engagement signals, real business outcomes are all sitting in your Lakehouse, underutilized by your ad campaigns. Meta Conversions API is now available as a solution accelerator on Databricks Marketplace. Deploy a pre-built notebook to send high-quality conversion signals directly to Meta, with no custom connectors, fragile pipelines, or middleware required. https://lnkd.in/eK3MqA85
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What does the future of intelligent applications look like? Join Stephen Orban, SVP of Product Partnerships and Ecosystem, for a 30-minute executive event on Databricks’ vision and roadmap. He’ll cover the latest in agentic AI, how to build domain-specific AI agent systems, and how Databricks Lakebase is reinventing intelligent applications. Live Q&A included. Register to attend. https://lnkd.in/eSd7eyhy
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Still maintaining two engines for streaming? It's time to simplify. Now you can get millisecond-level latency using the same Apache Spark APIs you already know. Using Real-Time Mode (RTM) in Spark Structured Streaming, you get the best of both worlds: • Ultra-low latency (millisecond-level p99s) on Spark • A unified codebase using the familiar Spark APIs for all your streaming use cases • Lower ops overhead by eliminating second-engine complexity Whether it's fraud detection, instant personalization, or generating real-time context for your AI agents, using RTM to keep your stack unified is the ultimate productivity hack for data teams. https://lnkd.in/e2bqhgke
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A new home for the Databricks community is here. Introducing the Databricks User Groups Platform, a centralized hub for data + AI communities to connect, learn, and grow. It’s never been easier to: - Connect: Join local chapters or virtual interest groups - Learn: Discover and RSVP for upcoming community events - Lead: Apply to become an organizer and host your own meetups Start exploring today: usergroups.databricks.com
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When the same business metric is calculated five different ways, it slows decisions and creates confusion. Databricks Metric View helps teams define metrics once in a governed semantic layer, so everyone sees the same trusted numbers in SQL, dashboards, alerts, and Genie. Customize with AI, publish to Unity Catalog, and give your business a single source of truth for the metrics that matter. https://lnkd.in/g4gpAjEY
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Legacy BI wasn’t built for the way teams work today. Agentic analytics is. Join next week's virtual event with Anthropic and Alex Freberg to see how agents built on a unified data platform can support the full analytics workflow — from data prep to insight. You’ll learn: - How agentic analytics spans data prep to insight - What’s new across Databricks analytics tools - How Genie and Claude deliver agentic insights - How to build end-to-end analytics workflows without BI seats https://lnkd.in/gihYJqwg
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Enterprises are ramping up agent development, but this rapid growth poses a new challenge: finding and managing them all. That's why we built a managed orchestration layer that lets you tie together agents and tools. Agent Bricks Supervisor Agent provides a foundation for orchestrating AI agents at scale - and with enterprise governance. Teams can now route intent, govern access, and continuously improve agent quality, all from a single control plane. Create your first agent and connect it to your existing agents and tools → https://lnkd.in/gND7K9zh
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Meet Databricks at Mobile World Congress 2026 in Barcelona! Join us to discuss how telecom operators are using unified data and AI to drive measurable outcomes, from improving attach rates and reducing churn to proactive fraud prevention. We're presenting on industry panels, meeting with customers, and sharing real-world examples throughout the week. See you there: https://lnkd.in/ghvs4ygu
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