RabbitMQ vs. Kafka – An Architect’s Dilemma (Part 1)

• decaton

  1 315 6.9 Java

  High throughput asynchronous task processing on Apache Kafka

  

> You can stream messages into a buffer and process them in parallel, and commit the low watermark offset whenever it changes, as described above. I've implemented this in .NET with Channels and saturate the CPUs with no problem.

And there are libraries that will manage all this for you e.g. https://github.com/line/decaton

• fluvio

  26 2,638 9.5 Rust

  Lean and mean distributed stream processing system written in rust and web assembly.

  

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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