Seamless Data Streaming and Governance to Drive Smarter AI Applications
Confluent and Databricks have expanded their partnership to eliminate data silos and power real-time AI applications. By integrating Confluent’s Tableflow with Databricks’ Unity Catalog, enterprises can seamlessly govern data across operational and analytical systems, ensuring secure, real-time interoperability for AI-driven decision-making.
“Real-time data is the fuel for AI, yet disconnected systems often hold enterprises back,” said Jay Kreps, co-founder and CEO, Confluent. “Together with Databricks, we’re enabling businesses to harness the full potential of real-time data for advanced AI applications.”
“Together with Databricks, we’re enabling businesses to harness the full potential of real-time data for advanced AI applications.”
Jay Kreps, co-founder and CEO, Confluent.
Through this partnership, organizations can leverage Confluent’s streaming capabilities with Delta Lake, the industry’s leading open-format storage layer, ensuring instant access to operational data. Enhanced metadata integration between Tableflow and Unity Catalog improves governance, streamlining collaboration across data teams.
“With trusted enterprise data at the core of AI success, we’re excited that Confluent has embraced Unity Catalog and Delta Lake,” said Ali Ghodsi, co-founder and CEO, Databricks. “This partnership will help businesses maximize their AI investments and drive long-term value.”
By unifying enterprise applications, analytics, and governance, Confluent and Databricks empower businesses to accelerate AI innovation with real-time, high-quality data.
