Get Advice Icon

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

DistributedLog
DistributedLog

13
29
+ 1
0
RabbitMQ
RabbitMQ

4.7K
3.3K
+ 1
453
Add tool

DistributedLog vs RabbitMQ: What are the differences?

DistributedLog: High-performance replicated log service, by Twitter. DistributedLog (DL) is a high-performance, replicated log service, offering durability, replication and strong consistency as essentials for building reliable distributed systems; RabbitMQ: A messaging broker - an intermediary for messaging. RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

DistributedLog and RabbitMQ belong to "Message Queue" category of the tech stack.

Some of the features offered by DistributedLog are:

  • High Performance
  • Durable and Consistent
  • Efficient Fan-in and Fan-out

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

  • Robust messaging for applications
  • Easy to use
  • Runs on all major operating systems

DistributedLog and RabbitMQ are both open source tools. It seems that RabbitMQ with 5.94K GitHub stars and 1.78K forks on GitHub has more adoption than DistributedLog with 2.25K GitHub stars and 283 GitHub forks.

What is DistributedLog?

DistributedLog (DL) is a high-performance, replicated log service, offering durability, replication and strong consistency as essentials for building reliable distributed systems.

What is RabbitMQ?

RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
Get Advice Icon

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

Why do developers choose DistributedLog?
Why do developers choose RabbitMQ?
    Be the first to leave a pro

    Sign up to add, upvote and see more prosMake informed product decisions

      Be the first to leave a con
      What companies use DistributedLog?
      What companies use RabbitMQ?

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

      What tools integrate with DistributedLog?
      What tools integrate with RabbitMQ?
        No integrations found

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

        What are some alternatives to DistributedLog and RabbitMQ?
        Kafka
        Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
        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.
        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.
        See all alternatives
        Decisions about DistributedLog and RabbitMQ
        James Cunningham
        James Cunningham
        Operations Engineer at Sentry · | 18 upvotes · 111.8K views
        atSentrySentry
        RabbitMQ
        RabbitMQ
        Celery
        Celery
        #MessageQueue

        As Sentry runs throughout the day, there are about 50 different offline tasks that we execute—anything from “process this event, pretty please” to “send all of these cool people some emails.” There are some that we execute once a day and some that execute thousands per second.

        Managing this variety requires a reliably high-throughput message-passing technology. We use Celery's RabbitMQ implementation, and we stumbled upon a great feature called Federation that allows us to partition our task queue across any number of RabbitMQ servers and gives us the confidence that, if any single server gets backlogged, others will pitch in and distribute some of the backlogged tasks to their consumers.

        #MessageQueue

        See more
        RabbitMQ
        RabbitMQ
        Kafka
        Kafka

        The question for which Message Queue to use mentioned "availability, distributed, scalability, and monitoring". I don't think that this excludes many options already. I does not sound like you would take advantage of Kafka's strengths (replayability, based on an even sourcing architecture). You could pick one of the AMQP options.

        I would recommend the RabbitMQ message broker, which not only implements the AMQP standard 0.9.1 (it can support 1.x or other protocols as well) but has also several very useful extensions built in. It ticks the boxes you mentioned and on top you will get a very flexible system, that allows you to build the architecture, pick the options and trade-offs that suite your case best.

        For more information about RabbitMQ, please have a look at the linked markdown I assembled. The second half explains many configuration options. It also contains links to managed hosting and to libraries (though it is missing Python's - which should be Puka, I assume).

        See more
        Frédéric MARAND
        Frédéric MARAND
        Core Developer at OSInet · | 2 upvotes · 92.1K views
        atOSInetOSInet
        RabbitMQ
        RabbitMQ
        Beanstalkd
        Beanstalkd
        Kafka
        Kafka

        I used Kafka originally because it was mandated as part of the top-level IT requirements at a Fortune 500 client. What I found was that it was orders of magnitude more complex ...and powerful than my daily Beanstalkd , and far more flexible, resilient, and manageable than RabbitMQ.

        So for any case where utmost flexibility and resilience are part of the deal, I would use Kafka again. But due to the complexities involved, for any time where this level of scalability is not required, I would probably just use Beanstalkd for its simplicity.

        I tend to find RabbitMQ to be in an uncomfortable middle place between these two extremities.

        See more
        Michael Mota
        Michael Mota
        CEO & Founder at AlterEstate · | 4 upvotes · 11.6K views
        atAlterEstateAlterEstate
        Django
        Django
        RabbitMQ
        RabbitMQ
        Celery
        Celery

        Automations are what makes a CRM powerful. With Celery and RabbitMQ we've been able to make powerful automations that truly works for our clients. Such as for example, automatic daily reports, reminders for their activities, important notifications regarding their client activities and actions on the website and more.

        We use Celery basically for everything that needs to be scheduled for the future, and using RabbitMQ as our Queue-broker is amazing since it fully integrates with Django and Celery storing on our database results of the tasks done so we can see if anything fails immediately.

        See more
        Interest over time
        Reviews of DistributedLog and RabbitMQ
        Review ofRabbitMQRabbitMQ

        I developed one of the largest queue based medical results delivery systems in the world, 18,000+ queues and still growing over a decade later all using MQSeries, later called Websphere MQ. When I left that company I started using RabbitMQ after doing some research on free offerings.. it works brilliantly and is incredibly flexible from small scale single instance use to large scale multi-server - multi-site architectures.

        If you can think in queues then RabbitMQ should be a viable solution for integrating disparate systems.

        How developers use DistributedLog and RabbitMQ
        Avatar of Cloudify
        Cloudify uses RabbitMQRabbitMQ

        The poster child for scalable messaging systems, RabbitMQ has been used in countless large scale systems as the messaging backbone of any large cluster, and has proven itself time and again in many production settings.

        Avatar of Chris Saylor
        Chris Saylor uses RabbitMQRabbitMQ

        Rabbit acts as our coordinator for all actions that happen during game time. All worker containers connect to rabbit in order to receive game events and emit their own events when applicable.

        Avatar of Clarabridge Engage
        Clarabridge Engage uses RabbitMQRabbitMQ

        Used as central Message Broker; off-loading tasks to be executed asynchronous, used as communication tool between different microservices, used as tool to handle peaks in incoming data, etc.

        Avatar of Analytical Informatics
        Analytical Informatics uses RabbitMQRabbitMQ

        RabbitMQ is the enterprise message bus for our platform, providing infrastructure for managing our ETL queues, real-time event notifications for applications, and audit logging.

        Avatar of Packet
        Packet uses RabbitMQRabbitMQ

        RabbitMQ is an all purpose queuing service for our stack. We use it for user facing jobs as well as keeping track of behind the scenes jobs.

        How much does DistributedLog cost?
        How much does RabbitMQ cost?
        Pricing unavailable
        Pricing unavailable
        News about DistributedLog
        More news
        News about RabbitMQ
        More news