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

IronMQ

35
49
+ 1
36
Kestrel

39
58
+ 1
0
Add tool

IronMQ vs Kestrel: What are the differences?

What is IronMQ? Message Queue for any deployment. An easy-to-use highly available message queuing service. Built for distributed cloud applications with critical messaging needs. Provides on-demand message queuing with advanced features and cloud-optimized performance.

What is 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.

IronMQ and Kestrel can be categorized as "Message Queue" tools.

Some of the features offered by IronMQ are:

  • Instant High Availability- Runs on top cloud infrastructures and uses multiple high-availability data centers. Uses reliable datastores for message durability and persistence.
  • Easy to Use- IronMQ is super easy to use. Simply connect directly to the API endpoints and you're ready to create and use queues. There are also client libraries available in any language you want – Ruby, Python, PHP, Java, .NET, Go, Node.JS, and more
  • Scalable / High Performance- Built using high-performance languages designed for concurrency and runs on industrial-strength clouds. Push messages and stream data at will without worrying about memory limits or adding more servers.

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

Kestrel is an open source tool with 2.8K GitHub stars and 326 GitHub forks. Here's a link to Kestrel's open source repository on GitHub.

Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More
Pros of IronMQ
Pros of Kestrel
  • 12
    Great Support
  • 8
    Heroku Add-on
  • 3
    Push support
  • 3
    Delayed delivery upto 7 days
  • 2
    Super fast
  • 2
    Language agnostic
  • 2
    Good analytics/monitoring
  • 2
    Ease of configuration
  • 2
    GDPR Compliant
    Be the first to leave a pro

    Sign up to add or upvote prosMake informed product decisions

    Cons of IronMQ
    Cons of Kestrel
    • 1
      Can't use rabbitmqadmin
      Be the first to leave a con

      Sign up to add or upvote consMake informed product decisions

      What is IronMQ?

      An easy-to-use highly available message queuing service. Built for distributed cloud applications with critical messaging needs. Provides on-demand message queuing with advanced features and cloud-optimized performance.

      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 IronMQ?
      What companies use Kestrel?
      See which teams inside your own company are using IronMQ or Kestrel.
      Sign up for StackShare EnterpriseLearn More

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

      What tools integrate with IronMQ?
      What tools integrate with Kestrel?
        No integrations found

        Sign up to get full access to all the tool integrationsMake informed product decisions

        What are some alternatives to IronMQ and Kestrel?
        RabbitMQ
        RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
        Kafka
        Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
        CloudAMQP
        Fully managed, highly available RabbitMQ servers and clusters, on all major compute platforms.
        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