The data management and analytics company is supplying organizations with ready-made AI agents, minus the hassle.

Agent Bricks uses technology developed by MosaicML’s research division to optimize the agent development process and help control the cost of running agents. Databricks has released a beta version of ...

The enterprise data landscape is undergoing a fundamental shift as the importance of unstructured data grows in parallel with the rise of generative AI and agentic workflows. Data platforms are ...

Databricks, the Data and AI company, today announced Lakewatch, a new open, agentic SIEM (Security Information and Event Management) designed to help organizations defend against increasingly ...

Databricks announced that it also acquired SiftD.ai, founded by the creator of Splunk’s Search Processing Language (SPL), a ...

Anthropic and Databricks struck a five year, $100 million pact to sell artificial intelligence tools to businesses, targeting those seeking to build their own AI agents. Both Anthropic and Databricks ...

Databricks has announced a launch that signals a shift from generative AI experimentation to production-scale deployment – anchored by two new tools, Lakeflow Designer and Agent Bricks. Both are aimed ...

‘The era of AI-native, agent-driven applications is reshaping what a database must do. Neon proves it: Four out of every five databases on their platform are spun up by code, not humans,’ says ...

Data analytics software firm Sumo Logic Inc. today announced two new Snowflake Inc. and Databricks Inc. apps that give customers more robust visibility into their data pipeline and provide stronger ...

Agentic AI requires a whole new type of architecture; traditional workflows create serious gridlock, dragging down speed and performance. Databricks is signaling its intent to get ahead in this next ...

Discover the top data engineering tools that will revolutionize DevOps teams in 2026. Explore cloud-native platforms designed ...

Many enterprise AI agent development efforts never make it to production and it's not because the technology isn't ready. The problem, according to Databricks, is that companies are still relying on ...