Scalable stream processing platform for advanced realtime analytics on top of Kafka and Spark. LogIsland also supports MQTT and Kafka Streams (Flink being in the roadmap). The platform does complex event processing and is suitable for time series analysis. A large set of valuable ready to use processors, data sources and sinks are available.
We want the streams to be able to write in several topics (based on conditions). This means we have to rewrite the different Sinks we have (Kafka, EventHub, Mqtt, AMQP, ..). Or do it at the level of engine if that brings more potential. This has to be explored. The cleaner, the better.
Steps to reproduce the problem.
Specifications like the version of the project, operating system, or hardware.
Expected behavior and actual behavior.
We want the streams to be able to write in several topics (based on conditions). This means we have to rewrite the different Sinks we have (Kafka, EventHub, Mqtt, AMQP, ..). Or do it at the level of engine if that brings more potential. This has to be explored. The cleaner, the better.
Steps to reproduce the problem.
Specifications like the version of the project, operating system, or hardware.