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Beanstalkd

111
161
+ 1
74
Gearman

76
144
+ 1
45
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Beanstalkd vs Gearman: What are the differences?

## Key Differences Between Beanstalkd and Gearman

1. **Functionality**: Beanstalkd is a simple, fast work queue whereas Gearman is a distributed job queuing system. Beanstalkd focuses on providing a straightforward queuing mechanism, while Gearman allows for more complex distributed job processing scenarios.
2. **Protocol Support**: Beanstalkd uses its own binary TCP protocol, making it lightweight and fast, while Gearman supports multiple protocols like TCP, UDP, and SSL. This difference affects the compatibility and flexibility of the two systems in various network environments.
3. **Job Dependencies**: Beanstalkd does not provide native support for job dependencies, meaning jobs cannot be set to run based on the completion of other jobs. On the other hand, Gearman allows for job dependencies, enabling more intricate job workflows and processing logic.
4. **Ease of Use**: Beanstalkd is known for its simplicity and ease of use with a minimalistic feature set, making it ideal for straightforward queuing tasks. Gearman, being more feature-rich and complex, may require more time and effort to set up and configure for advanced job processing needs.
5. **Community Support**: Gearman, being around longer and having a larger user base, has more extensive community support, documentation, and plugins available compared to Beanstalkd. This can be a significant factor to consider when choosing between the two systems.
6. **Scalability**: While both Beanstalkd and Gearman support horizontal scalability by adding more servers, Gearman's distributed nature allows for easier scaling across multiple machines and clusters. This scalability aspect can be crucial for applications with high processing demands.

In Summary, Beanstalkd and Gearman offer distinct functionalities and features, such as simplicity vs. complexity, protocol support, job dependencies, ease of use, community support, and scalability.

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Pros of Beanstalkd
Pros of Gearman
  • 23
    Fast
  • 12
    Free
  • 12
    Does one thing well
  • 9
    Scalability
  • 8
    Simplicity
  • 3
    External admin UI developer friendly
  • 3
    Job delay
  • 2
    Job prioritization
  • 2
    External admin UI
  • 11
    Ease of use and very simple APIs
  • 11
    Free
  • 6
    Polyglot
  • 5
    No single point of failure
  • 3
    Scalable
  • 3
    High-throughput
  • 2
    Foreground & background processing
  • 2
    Very fast
  • 1
    Different Programming Languages Channel
  • 1
    Many supported programming languages

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What is Beanstalkd?

Beanstalks's interface is generic, but was originally designed for reducing the latency of page views in high-volume web applications by running time-consuming tasks asynchronously.

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.

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What companies use Beanstalkd?
What companies use Gearman?
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What tools integrate with Beanstalkd?
What tools integrate with Gearman?
    No integrations found
    What are some alternatives to Beanstalkd and Gearman?
    RabbitMQ
    RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
    Redis
    Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
    Resque
    Background jobs can be any Ruby class or module that responds to perform. Your existing classes can easily be converted to background jobs or you can create new classes specifically to do work. Or, you can do both.
    Kafka
    Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
    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.
    See all alternatives