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How to build and scale real-time AI agents with a data streaming platform
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Stream, connect, govern, and process data across your entire organization
Handle events through a cloud-native engine
Integrate to third-party sources and sinks
Enable secure and democratized access to critical data
Transform, analyze, and act on real-time data
Stream smarter with our fully managed, cloud-native Apache Kafka® service
Run and manage our complete data streaming platform on-premises
Deploy a Kafka-compatible data streaming platform in your private cloud
Tableflow is now GA! See how you represent Kafka topics as Apache Iceberg or Delta Lake tables in a few clicks, unifying operational and analytical estates.
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Compare your savings with Confluent to a self-managed Kafka deployment
Clean and govern data at the source and turn topics into Iceberg or Delta Lake tables
Build RAG and agentic AI use cases with real-time, contextual and trustworthy data
Learn to build event-driven microservices applications with data streaming
Discover best practices for common data streaming use cases
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Everything you need to know to start streaming data on-prem or in the cloud
Stream, process and govern IoT data from a wide range of IoT sensors across public and private networks in order to power smart city applications.