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  1. Stackups
  2. Utilities
  3. Background Jobs
  4. Message Queue
  5. Celery vs MassTransit

Celery vs MassTransit

OverviewComparisonAlternatives

Overview

Celery
Celery
Stacks1.7K
Followers1.6K
Votes280
GitHub Stars27.5K
Forks4.9K
MassTransit
MassTransit
Stacks167
Followers176
Votes0

Celery vs MassTransit: What are the differences?

Introduction:

Key Differences between Celery and MassTransit

1. **Architecture**: Celery is a distributed task queue that uses a message broker to mediate between clients and workers, allowing for scalability in handling asynchronous tasks. On the other hand, MassTransit is a distributed application framework for .NET that primarily focuses on building message-based systems using various messaging technologies like RabbitMQ and Azure Service Bus.

2. **Language Support**: While Celery is predominantly used with Python applications, MassTransit is specifically designed for .NET applications, providing extensive support for C# and other .NET languages. This difference in language support makes each framework more suitable for their respective ecosystems.

3. **Message Transport**: Celery typically relies on message brokers like RabbitMQ, Redis, or Amazon SQS for transporting messages between clients and workers, ensuring reliable communication. In contrast, MassTransit supports multiple messaging transports, enabling developers to choose between RabbitMQ, Azure Service Bus, ActiveMQ, and more based on their specific requirements.

4. **Error Handling**: Celery offers robust error handling capabilities, allowing developers to monitor task execution, retry failed tasks, and set up custom error handling mechanisms. Conversely, MassTransit provides comprehensive support for handling exceptions and managing message failure scenarios within the .NET framework.

5. **Community and Ecosystem**: Celery boasts a large and active community of developers, offering a wide range of plugins, extensions, and documentation to support various use cases and integrations. On the flip side, MassTransit has a dedicated community focused on providing resources, tutorials, and support specifically tailored to building message-driven systems in .NET environments.

6. **Usage Scenarios**: Celery is commonly used in Python-based applications for processing background tasks, job scheduling, and distributed computing, while MassTransit serves as a preferred choice for developing scalable and reliable messaging systems within the .NET ecosystem, such as microservices architectures and event-driven applications.

In Summary, Celery and MassTransit differ in their architecture, language support, message transport options, error handling mechanisms, community support, and preferred usage scenarios within Python and .NET environments.

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Detailed Comparison

Celery
Celery
MassTransit
MassTransit

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.

It is free software/open-source .NET-based Enterprise Service Bus software that helps Microsoft developers route messages over MSMQ, RabbitMQ, TIBCO and ActiveMQ service busses, with native support for MSMQ and RabbitMQ.

-
Message-based communication; Reliable; Scalable
Statistics
GitHub Stars
27.5K
GitHub Stars
-
GitHub Forks
4.9K
GitHub Forks
-
Stacks
1.7K
Stacks
167
Followers
1.6K
Followers
176
Votes
280
Votes
0
Pros & Cons
Pros
  • 99
    Task queue
  • 63
    Python integration
  • 40
    Django integration
  • 30
    Scheduled Task
  • 19
    Publish/subsribe
Cons
  • 4
    Sometimes loses tasks
  • 1
    Depends on broker
No community feedback yet
Integrations
No integrations available
.NET
.NET
Server Density
Server Density
PHP
PHP
Datadog
Datadog
Tutum
Tutum

What are some alternatives to Celery, MassTransit?

Kafka

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

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

Amazon SQS

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.

NSQ

NSQ

NSQ is a realtime distributed messaging platform designed to operate at scale, handling billions of messages per day. It promotes distributed and decentralized topologies without single points of failure, enabling fault tolerance and high availability coupled with a reliable message delivery guarantee. See features & guarantees.

ActiveMQ

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

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.

Apache NiFi

Apache NiFi

An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

Gearman

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.

Memphis

Memphis

Highly scalable and effortless data streaming platform. Made to enable developers and data teams to collaborate and build real-time and streaming apps fast.

IronMQ

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.

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