IronMQ vs ZeroMQ

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IronMQ

35
48
+ 1
36
ZeroMQ

226
521
+ 1
72
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IronMQ vs ZeroMQ: What are the differences?

Developers describe IronMQ as "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. On the other hand, ZeroMQ is detailed as "Fast, lightweight messaging library that allows you to design complex communication system without much effort". The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more.

IronMQ and ZeroMQ can be primarily classified 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, ZeroMQ provides the following key features:

  • Connect your code in any language, on any platform.
  • Carries messages across inproc, IPC, TCP, TPIC, multicast.
  • Smart patterns like pub-sub, push-pull, and router-dealer.

"Great Support" is the primary reason why developers consider IronMQ over the competitors, whereas "Fast" was stated as the key factor in picking ZeroMQ.

ZeroMQ is an open source tool with 5.33K GitHub stars and 1.57K GitHub forks. Here's a link to ZeroMQ's open source repository on GitHub.

According to the StackShare community, ZeroMQ has a broader approval, being mentioned in 35 company stacks & 12 developers stacks; compared to IronMQ, which is listed in 9 company stacks and 5 developer stacks.

Advice on IronMQ and ZeroMQ
Meili Triantafyllidi
Software engineer at Digital Science · | 6 upvotes · 294.3K views
Needs advice
on
Amazon SQSAmazon SQSRabbitMQRabbitMQ
and
ZeroMQZeroMQ

Hi, we are in a ZMQ set up in a push/pull pattern, and we currently start to have more traffic and cases that the service is unavailable or stuck. We want to: * Not loose messages in services outages * Safely restart service without losing messages (ZeroMQ seems to need to close the socket in the receiver before restart manually)

Do you have experience with this setup with ZeroMQ? Would you suggest RabbitMQ or Amazon SQS (we are in AWS setup) instead? Something else?

Thank you for your time

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Replies (2)
Shishir Pandey
Recommends
RabbitMQRabbitMQ

ZeroMQ is fast but you need to build build reliability yourself. There are a number of patterns described in the zeromq guide. I have used RabbitMQ before which gives lot of functionality out of the box, you can probably use the worker queues example from the tutorial, it can also persists messages in the queue.

I haven't used Amazon SQS before. Another tool you could use is Kafka.

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Kevin Deyne
Principal Software Engineer at Accurate Background · | 5 upvotes · 96.6K views
Recommends
RabbitMQRabbitMQ

Both would do the trick, but there are some nuances. We work with both.

From the sound of it, your main focus is "not losing messages". In that case, I would go with RabbitMQ with a high availability policy (ha-mode=all) and a main/retry/error queue pattern.

Push messages to an exchange, which sends them to the main queue. If an error occurs, push the errored out message to the retry exchange, which forwards it to the retry queue. Give the retry queue a x-message-ttl and set the main exchange as a dead-letter-exchange. If your message has been retried several times, push it to the error exchange, where the message can remain until someone has time to look at it.

This is a very useful and resilient pattern that allows you to never lose messages. With the high availability policy, you make sure that if one of your rabbitmq nodes dies, another can take over and messages are already mirrored to it.

This is not really possible with SQS, because SQS is a lot more focused on throughput and scaling. Combined with SNS it can do interesting things like deduplication of messages and such. That said, one thing core to its design is that messages have a maximum retention time. The idea is that a message that has stayed in an SQS queue for a while serves no more purpose after a while, so it gets removed - so as to not block up any listener resources for a long time. You can also set up a DLQ here, but these similarly do not hold onto messages forever. Since you seem to depend on messages surviving at all cost, I would suggest that the scaling/throughput benefit of SQS does not outweigh the difference in approach to messages there.

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Pros of IronMQ
Pros of ZeroMQ
  • 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
  • 24
    Fast
  • 20
    Lightweight
  • 11
    Transport agnostic
  • 7
    No broker required
  • 4
    Low level APIs are in C
  • 4
    Low latency
  • 1
    Open source
  • 1
    Publish-Subscribe

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Cons of IronMQ
Cons of ZeroMQ
  • 1
    Can't use rabbitmqadmin
  • 5
    No message durability
  • 3
    Not a very reliable system - message delivery wise
  • 1
    M x N problem with M producers and N consumers

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- No public GitHub repository available -

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 ZeroMQ?

The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more.

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What companies use IronMQ?
What companies use ZeroMQ?
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What are some alternatives to IronMQ and ZeroMQ?
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