Esper
7.5#3 in stream analytics softwareFree planFree planAPILinuxmacOSSelf-hosted
VisitEsper vs Kafka Streams
Kafka Streams
6.2#13 in stream processing softwareFree planFree planLinuxmacOSSelf-hostedWindows
VisitWhat both publish
| Fact | Esper | Kafka Streams |
|---|---|---|
| Founded | Esper is documented as created in 2006, with its first public release in early 2006. | 1999 |
| Integrations | The feature list names CSV, JMS, HTTP, Kafka, database and socket input/output adapters, and JMX metrics exposure. | Kafka's ecosystem includes tools for stream processing, Hadoop integration, monitoring, and deployment, and Kafka Connect provides connectors for external systems. |
| Purpose | Esper is a language, compiler and runtime for complex event processing and streaming analytics, available for Java and .NET. | Kafka Streams is a client library for building applications and microservices whose input and output data are stored in Kafka clusters. |
Esper plans
- Esper 9.0.0Free
- Esper Open SourceFree
- Esper Enterprise EditionPriced on request
- EsperHAPriced on request
- Esper supportPriced on request
Kafka Streams plans
- Apache Kafka StreamsFree
Pick Esper if…
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.
Pick Kafka Streams if…
It suits Java or Scala developers building applications that process data stored in Kafka. Teams that need stateful stream processing without a separate processing cluster may find its architecture useful.