Esper
7.5#3 in stream analytics softwareFree planFree planAPILinuxmacOSSelf-hosted
Visit| Fact | Esper | Siddhi |
|---|---|---|
| Integrations | The feature list names CSV, JMS, HTTP, Kafka, database and socket input/output adapters, and JMX metrics exposure. | Supported event sources and destinations listed include Kafka, NATS, RabbitMQ, HTTP, gRPC, JMS, MQTT, Amazon SQS, Google Pub/Sub, email, files, and WebSocket. |
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Esper may suit Java or .NET developers building event-processing applications that can embed a runtime in their processes. Its listed use cases include monitoring, financial applications, and sensor networks.
Siddhi suits developers building self-hosted, event-driven systems with streaming SQL, stateful processing, and many connectors. It is relevant for analytics, integration, notifications, and rule-based decisions.