Learn what real-time data analytics means, which use cases need it, and how a lakehouse approach delivers faster ...

Every agent that searches a document corpus has to decide how many times to search before it answers a question. Most agentic search tools force a choice between two failure modes. Search that stops ...

Databricks introduced CustomerLake, an agentic CDP designed to unify customer data, AI models, agents, identity resolution and activation in one governed environment. The launch positions marketing as ...

DataBrick Notebooks的隐藏功能：超越基础的数据交互方式 当大多数数据团队还在用传统方式处理数据时，一些先行者已经通过DataBrick Notebooks的高级功能将工作效率提升了数倍。想象一下，你的团队 ...

That's the question Databricks is answering this week with the announcement that it's raising more than $4 billion in its latest funding round. That puts its valuation at $134 billion — a 34% jump ...

At Databricks, we operate thousands of OLTP instances across hundreds of regions in AWS, Azure, and GCP. We built an agentic platform that unifies metrics, tooling, and expertise to help our engineers ...

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Analytics and AI software platform Databricks just made a $100 million bet on OpenAI. That’s how much it’ll be paying for a multi-year deal that will see OpenAI’s models incorporated into Databrick ...

The offering is set to allow firms to combine raw tick history or reference data with their enterprise data, to then efficiently build and launch AI production agents to aid investment analytics, risk ...