Get Advice Icon

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

Kafka Manager

69
173
+ 1
1
Kestrel

39
58
+ 1
0
Add tool

Kafka Manager vs Kestrel: What are the differences?

Kafka Manager: A tool for managing Apache Kafka, developed by Yahoo. This interface makes it easier to identify topics which are unevenly distributed across the cluster or have partition leaders unevenly distributed across the cluster. It supports management of multiple clusters, preferred replica election, replica re-assignment, and topic creation. It is also great for getting a quick bird’s eye view of the cluster; 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.

Kafka Manager and Kestrel belong to "Message Queue" category of the tech stack.

Some of the features offered by Kafka Manager are:

  • Manage multiple clusters
  • Easy inspection of cluster state (topics, brokers, replica distribution, partition distribution)
  • Run preferred replica election

On the other hand, Kestrel provides the following key features:

  • 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

Kafka Manager and Kestrel are both open source tools. Kafka Manager with 7.55K GitHub stars and 1.84K forks on GitHub appears to be more popular than Kestrel with 2.8K GitHub stars and 326 GitHub forks.

Manage your open source components, licenses, and vulnerabilities
Learn More
Pros of Kafka Manager
Pros of Kestrel
  • 1
    Better Insights for Kafka cluster
    Be the first to leave a pro

    Sign up to add or upvote prosMake informed product decisions

    263
    882
    370

    What is Kafka Manager?

    This interface makes it easier to identify topics which are unevenly distributed across the cluster or have partition leaders unevenly distributed across the cluster. It supports management of multiple clusters, preferred replica election, replica re-assignment, and topic creation. It is also great for getting a quick bird’s eye view of the cluster.

    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 Kafka Manager?
    What companies use Kestrel?
    Manage your open source components, licenses, and vulnerabilities
    Learn More

    Sign up to get full access to all the companiesMake informed product decisions

    What tools integrate with Kafka Manager?
    What tools integrate with Kestrel?
      No integrations found
      What are some alternatives to Kafka Manager and Kestrel?
      Zookeeper
      A centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services. All of these kinds of services are used in some form or another by distributed applications.
      MySQL
      The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
      PostgreSQL
      PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
      MongoDB
      MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
      Redis
      Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
      See all alternatives