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Beanstalkd
Beanstalkd

76
54
+ 1
65
Redis
Redis

14.2K
9.4K
+ 1
3.7K
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Beanstalkd vs Redis: What are the differences?

What is Beanstalkd? A simple, fast work queue. 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 Redis? An in-memory database that persists on disk. Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.

Beanstalkd can be classified as a tool in the "Background Processing" category, while Redis is grouped under "In-Memory Databases".

"Fast" is the primary reason why developers consider Beanstalkd over the competitors, whereas "Performance" was stated as the key factor in picking Redis.

Beanstalkd and Redis are both open source tools. Redis with 37.4K GitHub stars and 14.4K forks on GitHub appears to be more popular than Beanstalkd with 5.12K GitHub stars and 748 GitHub forks.

According to the StackShare community, Redis has a broader approval, being mentioned in 3261 company stacks & 1781 developers stacks; compared to Beanstalkd, which is listed in 27 company stacks and 8 developer stacks.

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 Redis?

Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.
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Why do developers choose Beanstalkd?
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      What are some alternatives to Beanstalkd and Redis?
      RabbitMQ
      RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
      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.
      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.
      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
      Decisions about Beanstalkd and Redis
      No stack decisions found
      Interest over time
      Reviews of Beanstalkd and Redis
      Review ofRedisRedis

      Redis is a good caching tool for a cluster, but our application had performance issues while using Aws Elasticache Redis since some page had 3000 cache hits per a page load and Redis just couldn't quickly process them all in once + latency and object deseialization time - page load took 8-9 seconds. We create a custom hybrid caching based on Redis and EhCache which worked great for our goals. Check it out on github, it's called HybriCache - https://github.com/batir-akhmerov/hybricache.

      How developers use Beanstalkd and Redis
      Avatar of Cloudcraft
      Cloudcraft uses RedisRedis

      Redis is used for storing all ephemeral (that's data you don't necessarily want to store permanently) user data, such as mapping of session IDs (stored in cookies) to current session variables at Cloudcraft.co. The many datastructures supported by Redis also makes it an excellent caching and realtime statistics layer. It doesn't hurt that the author, Antirez, is the nicest guy ever! These days, I would be really hard pressed to find any situation where I would pick something like Memcached over Redis.

      Avatar of Trello
      Trello uses RedisRedis

      Trello uses Redis for ephemeral data that needs to be shared between server processes but not persisted to disk. Things like the activity level of a session or a temporary OpenID key are stored in Redis, and the application is built to recover gracefully if any of these (or all of them) are lost. We run with allkeys-lru enabled and about five times as much space as its actual working set needs, so Redis automatically discards data that hasn’t been accessed lately, and reconstructs it when necessary.

      Avatar of Stack Exchange
      Stack Exchange uses RedisRedis

      The UI has message inbox that is sent a message when you get a new badge, receive a message, significant event, etc. Done using WebSockets and is powered by redis. Redis has 2 slaves, SQL has 2 replicas, tag engine has 3 nodes, elastic has 3 nodes - any other service has high availability as well (and exists in both data centers).

      Avatar of Brandon Adams
      Brandon Adams uses RedisRedis

      Redis makes certain operations very easy. When I need a high-availability store, I typically look elsewhere, but for rapid development with the ability to land on your feet in prod, Redis is great. The available data types make it easy to build non-trivial indexes that would require complex queries in postgres.

      Avatar of Kent Steiner
      Kent Steiner uses RedisRedis

      I use Redis for cacheing, data storage, mining and augmentation, proprietary distributed event system for disparate apps and services to talk to each other, and more. Redis has some very useful native data types for tracking, slicing and dicing information.

      Avatar of Snaplytics
      Snaplytics uses BeanstalkdBeanstalkd

      Beanstalkd is used as a job/task queue

      Avatar of Roy Olsen
      Roy Olsen uses BeanstalkdBeanstalkd

      Message and task queue

      How much does Beanstalkd cost?
      How much does Redis cost?
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