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Sandglass

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ZeroMQ

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Sandglass vs ZeroMQ: What are the differences?

What is Sandglass? Distributed, scalable, persistent time-sorted message queue. A distributed, horizontally scalable, persistent, time ordered message queue. Developed to support asynchronous tasks and message scheduling which makes it suitable for usage as a task queue.

What is ZeroMQ? 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.

Sandglass and ZeroMQ can be primarily classified as "Message Queue" tools.

Some of the features offered by Sandglass are:

  • Horizontal scalability
  • Highly available
  • Persistent storage

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.

Sandglass and ZeroMQ are both open source tools. It seems that ZeroMQ with 5.33K GitHub stars and 1.57K forks on GitHub has more adoption than Sandglass with 1.52K GitHub stars and 40 GitHub forks.

Advice on Sandglass and ZeroMQ
Meili Triantafyllidi
Software engineer at Digital Science · | 6 upvotes · 299.5K 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 · 100.7K 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 Sandglass
Pros of ZeroMQ
    Be the first to leave a pro
    • 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

    Sign up to add or upvote prosMake informed product decisions

    Cons of Sandglass
    Cons of ZeroMQ
      Be the first to leave a con
      • 5
        No message durability
      • 3
        Not a very reliable system - message delivery wise
      • 1
        M x N problem with M producers and N consumers

      Sign up to add or upvote consMake informed product decisions

      - No public GitHub repository available -

      What is Sandglass?

      A distributed, horizontally scalable, persistent, time ordered message queue. Developed to support asynchronous tasks and message scheduling which makes it suitable for usage as a task queue.

      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.

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

      What companies use Sandglass?
      What companies use ZeroMQ?
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        What tools integrate with Sandglass?
        What tools integrate with ZeroMQ?

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        What are some alternatives to Sandglass and ZeroMQ?
        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.
        ActiveMQ
        Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is released under the Apache 2.0 License.
        See all alternatives