Beanstalkd vs Gearman

Overview

Beanstalkd

Stacks111

Followers161

Votes74

Gearman

Stacks77

Followers144

Votes45

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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CLI (Node.js)

Manual

Detailed Comparison

Beanstalkd	Gearman
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.	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.
-	Open Source It’s free! (in both meanings of the word) Gearman has an active open source community that is easy to get involved with if you need help or want to contribute. Worried about licensing? Gearman is BSD;Multi-language - There are interfaces for a number of languages, and this list is growing. You also have the option to write heterogeneous applications with clients submitting work in one language and workers performing that work in another;Flexible - You are not tied to any specific design pattern. You can quickly put together distributed applications using any model you choose, one of those options being Map/Reduce;Fast - Gearman has a simple protocol and interface with an optimized, and threaded, server written in C/C++ to minimize your application overhead;Embeddable - Since Gearman is fast and lightweight, it is great for applications of all sizes. It is also easy to introduce into existing applications with minimal overhead;No single point of failure - Gearman can not only help scale systems, but can do it in a fault tolerant way;No limits on message size - Gearman supports single messages up to 4gig in size. Need to do something bigger? No problem Gearman can chunk messages;Worried about scaling? - Don’t worry about it with Gearman. Craig’s List, Tumblr, Yelp, Etsy,… discover what others have known for years.
Statistics
Stacks 111	Stacks 77
Followers 161	Followers 144
Votes 74	Votes 45
Pros & Cons
Pros 23 Fast 12 Does one thing well 12 Free 9 Scalability 8 Simplicity	Pros 11 Free 11 Ease of use and very simple APIs 6 Polyglot 5 No single point of failure 3 Scalable

What are some alternatives to Beanstalkd, Gearman?

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

Sidekiq

Sidekiq uses threads to handle many jobs at the same time in the same process. It does not require Rails but will integrate tightly with Rails 3/4 to make background processing dead simple.

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.

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 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

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.

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.

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.

Related Comparisons

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.

Beanstalkd vs Gearman

Overview