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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
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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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From Current to the Data Streaming World Tour to local developer meetups, you're invited to unleash your data with Confluent experts
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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
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Wherever you are in your data streaming journey, you'll find the explainer videos and tutorials you need to advance your skills here.
Azure Labs: Confluent on Azure Container Services & Real-time Search with Redis | Alicia Moniz, Confluent and Ramya Orunganti, Microsoft
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