Esper vs Quix Streams
Esper
espertech.comQuix Streams
quix.ioSide by side
| Figure | Esper | Quix Streams |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | — |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 5 | 1 |
| Spec score · Stream Analytics Software | 8.7 (#4) | 7.4 (#20) |
| Spec score · Stream Processing Software | 8.6 (#5) | 7.3 (#21) |
| Integrations | The feature list names CSV, JMS, HTTP, Kafka, database and socket input/output adapters, and JMX metrics exposure. | It can connect to Quix Cloud, Redpanda Cloud, other supported Kafka-compatible brokers, or a self-hosted broker. |
| Runtime | The runtime is an in-memory streaming engine that the site describes as memory-efficient and low-latency, and says does not require external storage or services. | It runs without a JVM, orchestrator, or server-side engine and is designed to scale through container orchestration such as Kubernetes. |
| Support | Commercial support is offered on 24x7 or 8x5 schedules through phone, email or a web portal. | The quickstart directs users with problems to create an issue or ask in the Quix Community Slack channel `#quix-help`. |
| What it does | Esper is a language, compiler and runtime for complex event processing and streaming analytics. | Quix Streams is a Python library for processing data in Kafka and building real-time streaming applications. |
Plans
Esper
- Esper 9.0.0Free
- Esper Open SourceFree
- Esper Enterprise EditionPriced on request
- EsperHAPriced on request
- Esper supportPriced on request
In their own words
Esper
Esper is a language, compiler, and runtime for complex event processing and streaming analytics in Java and .NET. Its Event Processing Language extends SQL with expressions over events and time. The compiler turns EPL into bytecode that can be packaged in JAR files. Esper and NEsper embed inside Java or .NET processes rather than running as standalone servers. The in-memory runtime is described as memory-efficient and low-latency and does not require external storage or services. Adapters handle CSV, JMS, HTTP, Kafka, database, and socket input and output, with JMX metrics exposure. Queries can join event streams with web services and relational databases through SQL-query or method-invocation joins. Esper Enterprise Edition adds scale-out architecture with elastic scaling, load balancing, fault tolerance, and multi-datacenter support using Apache Kafka and Apache Zookeeper. Listed uses include business-process monitoring, financial applications such as fraud detection, network and application monitoring, and sensor networks. Esper 9.0.0 is listed under GNU GPL (GPL v2); commercial redistribution licenses are available. Production support has Bronze, Silver, and Gold levels, plus a Developer Seat for how-to questions.