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Confluent

125
145
+ 1
9
Kestrel

32
42
+ 1
0
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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:

  • Reliable
  • 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.

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Pros of Confluent
Pros of Kestrel
  • 2
    No hypercloud lock-in
  • 2
    Dashboard for kafka insight
  • 2
    Zero devops
  • 2
    Free for casual use
  • 1
    Easily scalable
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    Cons of Confluent
    Cons of Kestrel
    • 1
      Proprietary
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      - No public GitHub repository available -

      What is Confluent?

      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

      What is Kestrel?

      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.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use Confluent?
      What companies use Kestrel?
      See which teams inside your own company are using Confluent or Kestrel.
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      What tools integrate with Confluent?
      What tools integrate with Kestrel?
        No integrations found

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        What are some alternatives to Confluent and Kestrel?
        Databricks
        Databricks Unified Analytics Platform, from the original creators of Apache Spark™, unifies data science and engineering across the Machine Learning lifecycle from data preparation to experimentation and deployment of ML applications.
        Kafka
        Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
        RabbitMQ
        RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
        Amazon SQS
        Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.
        Celery
        Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.
        See all alternatives