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

Celery vs NServiceBus

OverviewComparisonAlternatives

Overview

Celery
Celery
Stacks1.7K
Followers1.6K
Votes280
GitHub Stars27.5K
Forks4.9K
NServiceBus
NServiceBus
Stacks76
Followers132
Votes2

Celery vs NServiceBus: What are the differences?

Introduction:

This Markdown code provides a comparison between Celery and NServiceBus, highlighting key differences between the two.

  1. Scalability: Celery is designed for distributed task processing and is highly scalable, allowing tasks to be distributed across multiple worker processes or machines. NServiceBus, on the other hand, is focused on distributed messaging and can handle high message throughput while ensuring reliable delivery.

  2. Language Support: Celery is primarily designed for Python and supports task distribution and execution in Python applications. In contrast, NServiceBus is language-agnostic and supports multiple programming languages, including .NET, Java, and more, making it suitable for heterogeneous environments.

  3. Transport Mechanism: Celery uses a message broker to send and receive messages between producers and consumers, offering compatibility with various brokers like RabbitMQ, Redis, or Amazon SQS. NServiceBus, on the other hand, utilizes a distributed messaging architecture and supports various messaging technologies and protocols like MSMQ, RabbitMQ, Azure Service Bus, and more.

  4. Workflow Orchestration: Celery focuses primarily on task distribution and asynchronous processing, providing tools for managing task queues and priority levels. NServiceBus, in contrast, includes advanced workflow orchestration capabilities, enabling complex message-driven workflows, routing, and saga patterns for managing long-running business processes.

  5. Ecosystem and Integrations: Celery has a vibrant and active community, providing numerous extensions, plugins, and integrations with other Python libraries and frameworks. NServiceBus offers a similar ecosystem but is primarily focused on integration with Microsoft technologies and frameworks like .NET, Azure, and Service Fabric.

  6. Commercial Support: Celery is primarily an open-source project maintained by a community of contributors, offering community support through forums and documentation. NServiceBus is a commercial product that provides dedicated technical support, professional services, and training through its commercial vendor, Particular Software.

In summary, Celery and NServiceBus differ in their focus on scalability, language support, transport mechanisms, workflow orchestration capabilities, ecosystem and integrations, and commercial support. Celery is more focused on task processing and scalability in Python applications, while NServiceBus offers broader language support, advanced workflow orchestration, and integrates well with Microsoft technologies.

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Detailed Comparison

Celery
Celery
NServiceBus
NServiceBus

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.

Performance, scalability, pub/sub, reliable integration, workflow orchestration, and everything else you could possibly want in a service bus.

Statistics
GitHub Stars
27.5K
GitHub Stars
-
GitHub Forks
4.9K
GitHub Forks
-
Stacks
1.7K
Stacks
76
Followers
1.6K
Followers
132
Votes
280
Votes
2
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
Pros
  • 1
    Not as good as alternatives, good job security
  • 1
    Brings on-prem issues to the cloud

What are some alternatives to Celery, NServiceBus?

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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