Confluent, Inc. (NASDAQ:CFLT), a data streaming company, and Databricks, the Data and AI company, have announced an expanded partnership aimed at accelerating AI-driven decision-making with real-time data. The integration of Confluent’s Data Streaming Platform with Databricks’ Data Intelligence Platform will enable enterprises to streamline data governance and build AI applications more efficiently.

A key highlight of this collaboration is the bidirectional integration between Confluent’s Tableflow and Databricks’ Unity Catalog, ensuring seamless governance across operational and analytical systems. This enhancement allows businesses to access real-time, secure, and discoverable data for AI applications.

“Real-time data is the fuel for AI,” said Jay Kreps, co-founder and CEO of Confluent. “Together with Databricks, we’re ensuring businesses can harness the power of real-time data to build sophisticated AI-driven applications for their most critical use cases.”

Databricks CEO and co-founder Ali Ghodsi emphasized the importance of integrating data, AI, analytics, and governance in a unified system. “We are excited that Confluent has embraced Unity Catalog and Delta Lake as its open governance and storage solutions of choice, and we look forward to delivering long-term value for our customers.”

With these new capabilities, businesses will benefit from a more connected data ecosystem. Tableflow’s integration with Delta Lake ensures operational data is immediately available for AI tools such as Apache Spark, Trino, Polars, DuckDB, and Daft. Additionally, automatic metadata synchronization between Tableflow and Unity Catalog enhances AI application development by making operational data easily discoverable and actionable.

This expanded partnership between Confluent and Databricks represents a major step in bridging the gap between enterprise applications, analytics, and governance—empowering organizations to drive AI innovation at scale.

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