Redpanda is an API-compatible replacement for Kafka, that is up to 10x faster, up to 6x more cost-effective and significantly easier to use. Download the detailed comparison.
|Kafka is a componentized solution with dependencies on separate nodes/binaries for ZooKeeper/KRaft, JVM, schema registry, and HTTP proxy. Redpanda is a single binary deployment (brokers, schema registry, HTTP proxy, Raft consensus are all included).
|Apache Kafka APIs
|Redpanda natively supports the Kafka API so it works out-of-the-box with your existing tools and integrations.
|Integrated user interface
|Redpanda Console is a fully integrated user interface, also compatible with Kafka. With Kafka, must use 3rd party tools like Redpanda Console.
|Data and partition balancing
|Redpanda features automatic data and partition balancing, allowing for hands-free ops. With Kafka, you need a 3rd party tool (Cruise Control) for partition and data balancing.
|Redpanda offers monitoring available natively via Prometheus. Kafka requires third party tools.
|Up to 10x performance of Kafka
|Redpanda achieves 10x lower average latencies vs. Apache Kafka thanks to its optimized performance architecture (built in C++, intelligent memory handling, automatic kernel tuning, async processing, thread-per-core architecture).
|Predictable latency at scale
|Redpanda delivers predictable latency at scale because, unlike Kafka, it bypasses the Linux page cache and manages its own memory and disk I/O.
|Optimized resource efficiency
|Redpanda uses 3-6x fewer compute resources than Apache Kafka when running the same workload.
|Redpanda features tiered storage to support retention limits and compaction for topics. With Kafka, tiered storage is currently only available via third-party vendors.
|Reduced TCO vs Kafka
|Redpanda is 3-6x more cost-effective than running the equivalent Kafka infrastructure and team, while still delivering superior performance.
|With Redpanda, S3-compatible cloud storage is the default storage for all streaming data, allowing for near-infinite data retention at a low cost.
|Easy Day 2 operations
|Redpanda automation and intelligent cluster handling eliminates the manual tuning associated with Apache Kafka.
- Rich Armstrong
Director of Engineering, Sovrn
- Alex Davies
CTO, Jump Trading
- Michael Pearce
Sr. Architect, StoneX
- Jordi Miró Bruix
CTO, The Hotels Network
- Raja Bhatia
VP Engineering, Alpaca
- Kannan D.R.
Enterprise Data Architect, Liveramp
- Arya Ketan
Senior Principal Engineer at ShareChat