A single binary with built-in schema registry, http proxy, and message broker capabilities makes it easy to deploy and scale your clusters in self-managed environments.

Using Kafka? Migrate to Redpanda without application code changes. New to data streaming? You get to use the entire Kafka ecosystem out-of-the box.

The easiest, most complete web UI for visibility into your data streams with powerful features for time travel debugging and cluster administration.

Deploys in minutes, spins up in seconds, and runs efficiently wherever you develop – containers, laptops, x86 and ARM hardware, edge platforms, cloud instances, etc.

Ships with RPK, a single tool for managing your entire Redpanda cluster. It handles everything from low-level tuning to node configuration, and tasks like topic creation.

100% freedom from external dependencies makes for easier deployments in modern environments such as Kubernetes and edge computing. No more time sunk into tuning the JVM.

Up to 10x lower average latencies on existing hardware, even under sustained loads. Read this benchmark vs Apache Kafka for all the details.

Thanks to several architectural optimizations, including an optimistic approach to Raft and parallel commits that deliver up to 6x faster transactions.

No page cache, no locking, minimal context switching, and thread-local memory access ensure application latencies you can bet your business on.

Written in C++ using a thread-per-core model to maximize utilization of hardware. Reduces hardware footprint by up to 6x for the same throughput.

Comes bundled with an auto-tuner, turning your regular Linux machine into a performance-optimized appliance that further boosts Redpanda's speed.

Built on Raft and safe by default — no need to tweak settings. Get the data safety you need without incurring a performance penalty. See the official Jepsen Report.

Scales from your laptop to petabytes of data without impacting code. Scales horizontally or vertically — just add more nodes or allocate more cores as your workload grows.

Ongoing redistribution of data and leadership across nodes enables clusters to self-manage and self-heal, preventing performance hotspots without administrative burden.

Cloud outages? No problem. Distribute your clusters across multiple availability zones (or racks) to increase system availability.

Built-in observability via Prometheus enables you to monitor your Redpanda clusters using your favorite DevOps and open source tooling.

Breakthrough shadow indexing architecture for efficiently managing large amounts of data. Use of cloud object stores keeps cost to a minimum.

“CDN” for your streaming data! Cherry pick topics from operational clusters and serve them from analytics clusters without duplicating data and without additional software.

Built-in data transforms to enrich data or apply routine business logic without ping-ponging across additional processing infrastructure. (Labs feature.)

Time travel across both historical and real-time data without performance penalties using a common Kafka API. No additional coding necessary.

Serves as a single-API "engine of record" for all your streaming applications and services — OLTP, RTA and OLAP.