NATS vs Redpanda
NATS
nats.io
Redpanda
redpanda.comSide by side
| Figure | NATS | Redpanda |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | — | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 4 |
| Spec score · Message Queue (MQ) Software | 7.5 (#19) | 8.4 (#8) |
| Spec score · Distributed Systems | 7.5 (#22) | 8.4 (#10) |
| Deployment | NATS is designed for distributed systems and edge deployments, and supports topology growth using leaf nodes and superclusters. | Redpanda can run as Serverless, fully managed BYOC on AWS, GCP, or Azure, or self-managed on bare metal, virtual machines, Kubernetes, or Docker. |
| License | The NATS server and clients are open source under the Apache 2.0 license. | Community Edition is free but source-available under the Business Source License, which changes to Apache 2.0 four years after each code merge; enterprise features use the Redpanda Community License. |
| Performance | The site says NATS can deliver millions of messages per second with sub-millisecond latencies across globally distributed systems. | Redpanda states that its platform delivers 10x lower tail latencies than open-source Kafka. |
Plans
Redpanda
- Community EditionFree
- Bring Your Own CloudPriced on request
- Enterprise EditionPriced on request
- ServerlessPriced on request
In their own words
Redpanda
Redpanda is an event-streaming platform for storing real-time events in ordered topics that can be replayed, with access through the Apache Kafka API. Its Kafka compatibility is intended to let existing applications and tools continue without rewrites or changes. The platform uses a native C++ architecture, runs as a single binary, and has no external dependencies. Redpanda Connect supplies more than 300 pre-built connectors for sources, sinks, processors, databases, APIs, cloud services, and AI pipelines. Native Apache Iceberg support and Iceberg topics let streams be materialized into lakehouse-ready tables. Deployment options include Serverless, managed BYOC on AWS, GCP, or Azure, and self-managed installations on bare metal, virtual machines, Kubernetes, or Docker. Redpanda also lists stream processing, a schema registry, both delivery guarantees, and client support for Java, C/C++, Go, Python, Rust, and Node.js. The maker states that its platform delivers 10x lower tail latencies than open-source Kafka.