Kestrel vs Confluent: What are the differences?
Kestrel: Simple, distributed message queue system. Kestrel is based on Blaine Cook's "starling" simple, distributed message queue, with added features and bulletproofing, as well as the scalability offered by actors and the JVM; Confluent: We make a stream data platform to help companies harness their high volume real-time data streams. It is a data streaming platform based on Apache Kafka: a full-scale streaming platform, capable of not only publish-and-subscribe, but also the storage and processing of data within the stream.
Kestrel and Confluent are primarily classified as "Message Queue" and "Stream Processing" tools respectively.
Some of the features offered by Kestrel are:
- Written by Robey Pointer
- Starling clone written in Scala (a port of Starling from Ruby to Scala)
- Queues are stored in memory, but logged on disk
On the other hand, Confluent provides the following key features:
- High-performance stream data platform
- Manage and organize data from different sources.
Kestrel is an open source tool with 2.8K GitHub stars and 327 GitHub forks. Here's a link to Kestrel's open source repository on GitHub.