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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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Learn MorePros of Beanstalkd
Pros of Gearman
Pros of Beanstalkd
- Fast23
- Free12
- Does one thing well12
- Scalability9
- Simplicity8
- External admin UI developer friendly3
- Job delay3
- Job prioritization2
- External admin UI2
Pros of Gearman
- Ease of use and very simple APIs11
- Free11
- Polyglot6
- No single point of failure5
- Scalable3
- High-throughput3
- Foreground & background processing2
- Very fast2
- Different Programming Languages Channel1
- Many supported programming languages1
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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?
What tools integrate with Beanstalkd?
No integrations found
What tools integrate with Gearman?
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.