Celery vs Gearman vs Kafka Manager

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Celery
Celery

901
546
+ 1
239
Gearman
Gearman

63
53
+ 1
43
Kafka Manager
Kafka Manager

39
46
+ 1
0
- No public GitHub repository available -

What is 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.

What is Gearman?

Gearman allows you to do work in parallel, to load balance processing, and to call functions between languages. It can be used in a variety of applications, from high-availability web sites to the transport of database replication events.

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.
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        What companies use Celery?
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        What tools integrate with Celery?
        What tools integrate with Gearman?
        What tools integrate with Kafka Manager?
        What are some alternatives to Celery, Gearman, and Kafka Manager?
        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.
        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.
        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 Celery, Gearman, and Kafka Manager
        James Cunningham
        James Cunningham
        Operations Engineer at Sentry · | 18 upvotes · 144.1K views
        atSentrySentry
        Celery
        Celery
        RabbitMQ
        RabbitMQ
        #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

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        Conor Myhrvold
        Conor Myhrvold
        Tech Brand Mgr, Office of CTO at Uber · | 5 upvotes · 155K views
        atUber TechnologiesUber Technologies
        Kafka
        Kafka
        Kafka Manager
        Kafka Manager
        Hadoop
        Hadoop
        Apache Spark
        Apache Spark
        GitHub
        GitHub

        Why we built Marmaray, an open source generic data ingestion and dispersal framework and library for Apache Hadoop :

        Built and designed by our Hadoop Platform team, Marmaray is a plug-in-based framework built on top of the Hadoop ecosystem. Users can add support to ingest data from any source and disperse to any sink leveraging the use of Apache Spark . The name, Marmaray, comes from a tunnel in Turkey connecting Europe and Asia. Similarly, we envisioned Marmaray within Uber as a pipeline connecting data from any source to any sink depending on customer preference:

        https://eng.uber.com/marmaray-hadoop-ingestion-open-source/

        (Direct GitHub repo: https://github.com/uber/marmaray Kafka Kafka Manager )

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        Michael Mota
        Michael Mota
        CEO & Founder at AlterEstate · | 4 upvotes · 24K views
        atAlterEstateAlterEstate
        Celery
        Celery
        RabbitMQ
        RabbitMQ
        Django
        Django

        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.

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        Interest over time
        Reviews of Celery, Gearman, and Kafka Manager
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        How developers use Celery, Gearman, and Kafka Manager
        Avatar of Kalibrr
        Kalibrr uses CeleryCelery

        All of our background jobs (e.g., image resizing, file uploading, email and SMS sending) are done through Celery (using Redis as its broker). Celery's scheduling and retrying features are especially useful for error-prone tasks, such as email and SMS sending.

        Avatar of Cloudify
        Cloudify uses CeleryCelery

        For orchestrating the creation of the correct number of instances, managing errors and retries, and finally managing the deallocation of resources we use RabbitMQ in conjunction with the Celery Project framework, along with a self-developed workflow engine.

        Avatar of MOKA Analytics
        MOKA Analytics uses CeleryCelery

        We maintain a fork of Celery 3 that adds HTTPS support for Redis brokers. The Winning Model currently uses Celery 3 because Celery 4 dropped support for Windows.

        We plan on migrating to Celery 4 once Azure ASE supports Linux apps

        Avatar of opening.io
        opening.io uses GearmanGearman

        Internal, distributed message queue. Main communication happens via port 4730 and consists of simple json messages. Completely independent of the main website back-end.

        Avatar of Yaakov Gesher
        Yaakov Gesher uses CeleryCelery

        We used celery, in combination with RabbitMQ and celery-beat, to run periodic tasks, as well as some user-initiated long-running tasks on the server.

        Avatar of Dieter Adriaenssens
        Dieter Adriaenssens uses CeleryCelery

        Using Celery, the web service creates tasks that are executed by a background worker. Celery uses a RabbitMQ instance as a task queue.

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        How much does Gearman cost?
        How much does Kafka Manager cost?
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