OpenMessaging Benchmark runs cloud-ready producer and consumer workloads against systems such as Kafka, Pulsar, RabbitMQ, NATS, and RocketMQ. Its Java framework uses driver and workload definitions to compare throughput, latency, and backlog behavior.
About
OpenMessaging Benchmark runs cloud-ready producer and consumer workloads against systems such as Kafka, Pulsar, RabbitMQ, NATS, and RocketMQ. Its Java framework uses driver and workload definitions to compare throughput, latency, and backlog behavior.
Best for
API and protocol throughput or latency campaigns
Teams that prefer open-source licensing and self-hosting options
Groups comfortable scripting in Java, YAML
Not the best fit when
Teams unwilling to operate generators, results storage, and scaling
Architecture and concurrency
OpenMessaging Benchmark is commonly operated as self-hosted software with scenario authoring in Java, YAML. Concurrency and distribution depend on how you size workers or injectors.
OpenMessaging Benchmark is best for engineers focused on API and protocol-level throughput and latency. It is open source, so teams can self-host and extend it. Vendor: OpenMessaging. Deployment model: self-hosted. Free; Apache License 2.0. Confirm details against the official site and a short proof-of-concept in your environment.
How does OpenMessaging Benchmark differ from Artillery?
Compared with Artillery, scripting centers on Java, YAML rather than JavaScript, TypeScript. OpenMessaging Benchmark lists protocols Kafka, Pulsar, RabbitMQ, NATS, RocketMQ, JMS; Artillery lists HTTP, HTTPS, WebSocket, Socket.IO, MQTT. Status is active versus active. Use the Test Rig to compare full specs side by side before a proof-of-concept.
What scripting language and concurrency model does OpenMessaging Benchmark use?
OpenMessaging Benchmark uses Java, YAML for scripting or scenario definition. Runtime model: code-first scenarios where virtual users execute scripted behavior under load. OS support: Linux, macOS. Protocols: Kafka, Pulsar, RabbitMQ, NATS, RocketMQ, JMS. Match these to how your team already authors tests and which systems you must drive under load.
What is the cloud or enterprise path for OpenMessaging Benchmark?
OpenMessaging Benchmark is primarily self-hosted; teams typically run generators on their own machines, CI runners, or private cloud. Plan for generator capacity, network access to targets, and result storage yourself. As open source, commercial support or hosted siblings may exist separately. Check the official site. Pricing note: Free; Apache License 2.0.
What are known limitations of OpenMessaging Benchmark?
OpenMessaging Benchmark limitations to weigh: self-hosted tools require you to provision, scale, and observe load generators yourself. Status: active. Always validate against your target protocols and scale with a proof-of-concept. Confirm details against the official site and a short proof-of-concept in your environment.