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Databricks

What\u2019s new at Databricks

The data + AI company

View profile \u2192 \u00b7 13 updates tracked
  1. feature major

    Observability for any agent, anywhere: Production-ready tracing with OpenTelemetry & Unity Catalog on Databricks

    Databricks launches production-ready AI tracing capabilities using OpenTelemetry and Unity Catalog for comprehensive agent observability. The solution addresses traditional observability challenges in AI applications moving to production.

  2. feature minor

    Accelerating LLM Inference with Prompt Caching for Open‑Source Models on Databricks

    Databricks introduces prompt caching capabilities for open-source LLM inference to improve performance and reduce latency. The feature optimizes repeated inference operations by caching common prompt patterns.

  3. feature minor

    Transforming industries with conversational AI: Partner solutions built on Databricks Genie

    Databricks showcases partner solutions leveraging Databricks Genie for conversational AI across various industries. The announcement highlights ecosystem expansion and industry-specific AI applications.

  4. feature minor

    Announcing the Databricks analytics engineer learning pathway

    Databricks launched a new Analytics Engineer Learning Pathway to provide structured training for analytics engineers.

  5. feature major

    Expanded interoperability with Unity Catalog Open APIs

    Unity Catalog introduces expanded Open APIs to improve interoperability across different data platforms and tools.

  6. improvement major

    Pushing the Frontier for Data Agents with Genie

    Databricks enhanced Genie, their state-of-the-art data agent designed for answering complex questions. The improvements advance the capabilities of data agents in handling sophisticated analytical queries.

  7. feature major

    MCP Marketplace brings real-time intelligence to agentic applications

    Databricks launched MCP Marketplace to provide real-time intelligence capabilities for agentic AI applications. The marketplace enables AI systems to access business context and reasoning capabilities.

  8. improvement minor

    Using MemAlign to Improve Evaluation of Traditional Machine Learning in Genie Code

    Databricks introduced MemAlign to enhance evaluation of traditional machine learning within Genie Code, their autonomous AI partner. This improvement focuses on better assessment capabilities for ML models.

  9. feature major

    How Superhuman and Databricks built a 200K QPS inference platform together

    Superhuman partnered with Databricks to build a high-performance inference platform capable of handling 200,000 queries per second. The collaboration demonstrates real-time AI inference capabilities at scale.

  10. feature major

    The next generation of Databricks Genie

    Databricks announced the next generation of its Genie product with new capabilities for data interaction. The update was published as a platform and product release.

  11. feature major

    OpenAI GPT-5.5 + Codex, now available and fully-governed on Databricks

    OpenAI GPT-5.5 and Codex are now available on Databricks with governance through Unity AI Gateway. The integration targets agentic enterprise workflows and complex tasks.

  12. feature major

    Announcing the Public Preview of Lakeflow Designer

    Lakeflow Designer has entered public preview after its initial introduction at Data and AI Summit. The tool is aimed at data pipeline design within the Databricks platform.

  13. feature major

    Databricks partners with OpenAI on GPT-5.5

    Databricks announced a partnership with OpenAI to offer GPT-5.5 as a frontier model on its platform. The post outlines the collaboration and availability details.