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How to build and scale real-time AI agents 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
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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
Explore how customers and partners are using Confluent’s data streaming platform to transform IT and unlock new business outcomes. To learn more, see a live demo.
Bring real-time, contextualized, and governed data streams to your AI agents, systems and applications.
Real-time communication between AI agents that dynamically generate meal plans, and adapt to changing inputs and preferences.
Garda by MII prevents fraud with advanced analytics, machine learning, real-time monitoring, alerting, and behavioral analysis.
Improve insights and decision-making by extracting, processing, analyzing, and utilizing SAP data in real time.
Reduce data silos, centrally manage and encrypt data from a variety of sources and legacy systems such as mainframes.
Use data streaming and AI models to personalize services for guests (e.g., making reservations, answering questions, recommending activities).
Provide real-time credit card transaction notifications, giving customers more control and better experiences.
Build and scale AI agents that autonomously gather, analyze, and synthesize information using an event-driven architecture.
Boost your business with AI-driven anomaly detection and prevention. Ensure operational continuity, enhance security, and reduce downtime.