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How to build retrieval-augmented generation (RAG) for real-time Generative AI applications with a data streaming platform
Learn more about how Confluent differs from Apache Kafka
Discover the platform that is built and designed for those who build
Unlock the value of data across your business
Explore testimonials and case studies from Confluent's customers
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.
Learn more about our pricing structure, features and deployment options
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
General Resources
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Get up to speed on data streaming concepts
Meet our Partners and explore programs
Developer Resources
Courses, tutorials and language guides
Guides, tutorials, API and CLI references
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Join a global community of developers
Expert support & guidance to maximize ROI
Everything you need to know to start streaming data on-prem or in the cloud
View sessions and slides from Kafka Summit London 2018