Introducing Streamhouse: the open data architecture for AI | Learn More
Confluent’s data streaming platform connects every corner of your business with Databricks in real time through open table formats to power highly contextualized AI and analytics at scale.

Stream, connect, process, and govern all your data and lower the total cost of ownership (TCO) for open source data streaming by up to 60%.
Confluent Cloud provides fully managed, cloud-native Apache Kafka® on AWS, Azure, and Google Cloud across 100+ regions
Deploy Confluent Platform for on-premise and private cloud workloads
Connect Databricks with every app and data system that runs your business
Effortlessly enrich, join, and filter your data with simple, serverless stream processing
Discover, understand, and trust data streams with governance for data in motion
Access data streams through Delta Tables with Tableflow, providing low latency data movement across operational and analytical environments.
Power AI applications and workloads running on Databricks Mosaic AI with a trusted, always-up-to-date understanding of the business.
Together, Confluent and Databricks break down data silos, enabling governed, bi-directional, real-time data movement across both operational (apps, events, telemetry, etc.) and analytical environments.
“For companies to maximize returns on their AI investments, they need their data, AI, analytics and governance all in one place. As we support a growing number of organizations in building data intelligence, trustworthy enterprise data is paramount, achievable only by eliminating silos between operational and analytical data. We are excited that Tableflow has embraced Delta Lake and Unity Catalog as an open table and governance solution, and we look forward to working together to deliver long-term value for our customers.”

