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Databricks
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Databricks
@databricks
Databricks is the Data and AI company, helping organizations build and scale data and AI apps, analytics and agents.
HQ: San Francisco, CA
databricks.com
Joined July 2013
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  • Databricks reposted
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    Matei Zaharia
    @matei_zaharia
    5h
    Lots of new goodies in Apache Spark 4.2: Metric Views, GEOGRAPHY and GEOMETRY types, AutoCDC in Spark Declarative Pipelines, and more, from 1900 total commits. Available today on Databricks:
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    Introducing Apache Spark 4.2 | Databricks Blog
    From databricks.com
    1.9K
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    Databricks
    @databricks
    3h
    What does it take to move AI agents from prototype to production? Databricks' Amber Roberts and Craig Wiley walk through the full agent lifecycle, showing how to build, evaluate, deploy, and scale production-ready AI agents with Agent Bricks, AI Functions, and Genie Code. Watch
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  • Databricks reposted
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    Box
    @Box
    6h
    The Box MCP server is now available in the @databricks Marketplace. Data analysts and data scientists can now pull unstructured content from Box directly into their Databricks workflows through Genie. Structured vendor metrics and contract terms in one place. No platform
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    Databricks
    @databricks
    7h
    Genie One is now available on iOS and Android, bringing the data-smart AI coworker wherever business decisions happen. Business users can chat with Genie, explore dashboards, access Databricks Apps, and get grounded answers on the go, all with the same permissions, identity
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  • Databricks reposted
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    Matei Zaharia
    @matei_zaharia
    Jul 15
    Neon is evolving with three new backend functions now in beta, all branchable like the database! Object Storage, Functions and AI Gateway all ready for agents to safely work with to build the next generation of apps. This is what the next wave of cloud infra for agentic
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    Neon Postgres
    @neondatabase
    Jul 15
    Replying to @neondatabase
    Today we're opening up the beta of our first 3 new products: Object Storage, Functions, and AI Gateway Together with our database and Managed Better Auth (our auth service), they form the first version of our backend platform
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    Databricks
    @databricks
    Jul 15
    Teams no longer have to choose between multi-engine flexibility, performance, and centralized governance. External access to Unity Catalog managed Delta tables is now in Public Preview. Engines like Apache Spark, Apache Flink, and DuckDB, can create, read, and write to the same
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    Databricks
    @databricks
    Jul 15
    .@thinkymachines' first open-weights model, Inkling, is now available on Databricks through Unity AI Gateway. As a day zero launch partner, Databricks gives enterprise teams access to a model that excels at coding and agentic reasoning and supports multimodal inputs. Teams can
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  • Databricks reposted
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    Omnigent
    @omnigent_ai
    Jul 14
    Slow-burn attacks hide data theft inside steps that each look normal on their own. This blog walks through the attack on a vendor-review agent in Omnigent. Without a contextual policy, the outbound email goes through. With session risk tracking, it gets blocked, and the agent
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    Blocking Slow-Burn Attacks: Contextual Policies in Omnigent | Databricks Blog
    From databricks.com
    2.1K
  • user avatar
    Databricks
    @databricks
    Jul 15
    "The agent is completely useless if you can't share sessions with someone and have history and have search and all this layer on top of it for collaboration." Databricks co-founders @matei_zaharia and @rxin joined @latentspacepod to discuss where AI infrastructure is headed.
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  • Databricks reposted
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    Jamin Ball
    Altimeter Capital
    @jaminball
    Jul 14
    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
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    Databricks
    @databricks
    Jul 14
    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
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    Databricks
    @databricks
    Jul 14
    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
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    Databricks
    @databricks
    Jul 13
    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
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    Databricks
    @databricks
    Jul 13
    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
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