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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
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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
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Use cases
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
Industries
How to build and scale real-time AI agents with a data streaming platform
General Resources
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Best practices, industry trends and news
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Developer Resources
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Guides, tutorials, API and CLI references
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From Current to the Data Streaming World Tour to local developer meetups, you're invited to unleash your data with Confluent experts
Capabilities
What's in a data streaming platform?
Stream data and seamlessly scale workloads
Integrate third-party sources and sinks
Increase data quality and share data streams
Represent data streams as analytics tables
Deployment Options
Learn from our experts across the globe
Get up and running in minutes
Wherever you are in your data streaming journey, you'll find the explainer videos and tutorials you need to advance your skills here.
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