Anthropic's Claude Opus 4.8 is now available where your data already lives—governed, secure, and ready for custom AI applications and agents built on your lakehouse data. In Genie, Opus 4.8 enables deeper multi-step reasoning across structured data and unstructured content in a single response. Teams can build agents that handle complex workflows with fewer iterations and lower cost, all governed through Unity Catalog. Put Claude Opus 4.8 to work on your most important data securely and at production scale. https://lnkd.in/gnU4baCA
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
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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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#DataAISummit is where conversations shaping the future of data and AI happen. Hear from the biggest names in AI sharing what they’re building, deploying, and learning in real time across infrastructure, governance, analytics, and applications. Join us in San Francisco or virtually June 15–18: https://lnkd.in/gd_2Kw76
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A decade ago, only tech giants had the engineering muscle to get real value out of their data. Databricks was founded to change that. The AI boom accelerated everything. Hanlin Tang, Databricks' CTO of Neural Networks: "Companies are already deriving real value from agentic AI. I wouldn't have said that a year ago." Seven researchers started this at Berkeley. Now we're powering the next chapter. David H. Freedman covers the full story for Inc. Magazine: https://lnkd.in/g_iuqiF8
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❤️ Lovable now integrates with Databricks, providing a natural language interface that allows anyone, regardless of technical skills, to build live applications that can read and write data stored in Databricks. See how teams can build dashboards, operational tools, internal chatbots, and other custom apps directly on governed Databricks data without ETL, replication, or sync jobs.
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It’s time to start building your #DataAISummit schedule! Hear practical lessons from teams at adidas, Atlassian, Virgin Atlantic, Princeton University, and more covering AI, governance, interoperability, and production data platforms. Browse the lineup of real-world data and AI sessions shaping how organizations are building today 👇 https://lnkd.in/gd_2Kw76
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It’s official: Databricks is recognized as a Fortune Best Workplace in the Bay Area for 2026, produced in partnership with Great Place To Work! In a region defined by technical breakthroughs, this award speaks directly to our mission: solving the toughest problems in data and AI while raising the bar for what a tech workforce can achieve. See the full list and explore our open roles: https://lnkd.in/gXaJS5d2
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Developers want to build apps, not spend time provisioning infrastructure. In this video, Andre Landgraf from Databricks and Kevin Niparko from Cursor show how to go from idea to a production-ready app on the Databricks Platform with built-in governance and serverless Postgres. See how to iterate in real time, manage transactional data, branch fast, and deploy scalable applications where your data already lives 👇 https://lnkd.in/g2sVb8RW
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Toyota Motor Corporation is using Databricks and Zerobus Ingest to monitor factory conditions in near real time, streaming telemetry data directly from equipment across its manufacturing facilities. Data latency dropped 98%, from 4.5 seconds to 0.1 seconds. Overheating conditions that once took hours to catch are now flagged in minutes. By adjusting cooling systems based on live data, Toyota is improving worker safety and comfort while reducing energy use at scale. Explore the full story: https://lnkd.in/gE8_vwyQ
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Legacy data warehouses were not built for the scale, flexibility, and AI workloads modern teams are trying to support. This eBook explores how organizations are modernizing on Databricks with: • Elastic scalability • Lower infrastructure costs • Support for real-time analytics, AI, and ML Learn practical migration strategies using POCs, MVPs, and Databricks-native tools designed to reduce risk and help teams move faster. https://lnkd.in/g7uGM8_b
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Can’t make it to San Francisco for #DataAISummit 2026? Join the virtual experience on June 16–17 for: ✔️ Livestreamed keynotes ✔️ Select sessions ✔️ Major announcements ✔️ Summit Live commentary ✔️ On-demand access after the event ✔️ Exclusive online training Register for the free virtual event today: https://lnkd.in/g6TrEgb9
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