One streaming data platform for real-time, analytics, AI
The Kafka-compatible streaming data platform built for data-intensive applications. Connect anything with 260 connectors, process in real time with built-in transformations, and optimize costs with tiered storage.
EVERYTHING IN ONE PLACE
All-in-one platform for streaming, AI, and beyond
Redpanda is a complete Kafka® compatible streaming data platform with built-in developer tools and a growing ecosystem of connectors that’s easy to integrate, simple to scale, and secure to run in any environment.
260+ connectors, configuration-driven
Extensible connect processors, in-broker transforms
High-performance Kafka service, tiered storage
Best in class Kafka UX
BUILDING THE FUTURE
Build real-time applications, from edge to cloud
Everything developers need to build powerful data products, fast.
Streamlined architecture
Single binary; no JVM, ZK, or other external dependencies
Smart defaults, auto tuning and configuration
Self-healing, auto balancing
Async C++ Raft architecture
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High performance
Reduced hardware footprint
Scale to GB/s
Lowest latency Kafka implementation
Runs fast on your laptop, on bare metal, in cloud or on the edge
Redpanda vs. Kafka with KRaft
Developer first
Ecosystem compatibility with native Kafka features
Supports 280+ connectors and AI frameworks
Efficient built-in data processing
Fast, lightweight REST API and quick setup
Platform capabilities
Built for the future
Cloud native: traditional SaaS, BYOC, serverless
Tiered storage: unlimited retention, fast balancing, remote replicas, and backup/recovery
Standards based: Kafka API, OpenTelemetry, Iceberg
Total cloud control
Deploy Anywhere
Self-managed or fully managed cloud (Dedicated, BYOC, and Serverless)
WHAT OUR CUSTOMERS SAY
Best-in-class experiences from startups to the enterprise
STAY INFORMED. STAY AHEAD
Master real-time data for free
READY TO START?
Take Redpanda for a spin!
Looking to improve application performance and simplify data pipelines? Give Redpanda a try or get in touch with us to learn more.
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