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  1. Stackups
  2. Application & Data
  3. Key-Value Stores
  4. Redis Hosting
  5. Beanstalkd vs Redis Cloud

Beanstalkd vs Redis Cloud

OverviewComparisonAlternatives

Overview

Redis Cloud
Redis Cloud
Stacks69
Followers125
Votes9
Beanstalkd
Beanstalkd
Stacks111
Followers161
Votes74

Beanstalkd vs Redis Cloud: What are the differences?

Developers describe Beanstalkd as "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. On the other hand, Redis Cloud is detailed as "Enterprise-Class Redis for Developers". Redis Cloud is a fully-managed service for running your Redis dataset. It overcomes Redis’ scalability limitation by supporting all Redis commands at any dataset size. Your dataset is constantly replicated, so if a node fails, an auto-switchover mechanism guarantees data is served without interruption.

Beanstalkd belongs to "Background Processing" category of the tech stack, while Redis Cloud can be primarily classified under "Redis Hosting".

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

Beanstalkd is an open source tool with 5.12K GitHub stars and 748 GitHub forks. Here's a link to Beanstalkd's open source repository on GitHub.

Bukalapak, Douban, and Rollbar are some of the popular companies that use Beanstalkd, whereas Redis Cloud is used by Accenture, Luckycycle, and Ztory. Beanstalkd has a broader approval, being mentioned in 27 company stacks & 8 developers stacks; compared to Redis Cloud, which is listed in 20 company stacks and 9 developer stacks.

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Detailed Comparison

Redis Cloud
Redis Cloud
Beanstalkd
Beanstalkd

Redis Cloud is a fully-managed service for running your Redis dataset. It overcomes Redis’ scalability limitation by supporting all Redis commands at any dataset size. Your dataset is constantly replicated, so if a node fails, an auto-switchover mechanism guarantees data is served without interruption.

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.

Infinite scalability, all commands supported;Auto-failover with no ops;Highest performance, even for small datasets;Fully managed — completely hassle-free
-
Statistics
Stacks
69
Stacks
111
Followers
125
Followers
161
Votes
9
Votes
74
Pros & Cons
Pros
  • 9
    Heroku Addon
Pros
  • 23
    Fast
  • 12
    Does one thing well
  • 12
    Free
  • 9
    Scalability
  • 8
    Simplicity

What are some alternatives to Redis Cloud, Beanstalkd?

Sidekiq

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.

Redis To Go

Redis To Go

Redis To Go was created to make the managing Redis instances easier, whether it is just one instance or serveral. Deploying a new instance of Redis is dead simple, whether for production or development.

Hangfire

Hangfire

It is an open-source framework that helps you to create, process and manage your background jobs, i.e. operations you don't want to put in your request processing pipeline. It supports all kind of background tasks – short-running and long-running, CPU intensive and I/O intensive, one shot and recurrent.

Resque

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.

delayed_job

delayed_job

Delayed_job (or DJ) encapsulates the common pattern of asynchronously executing longer tasks in the background. It is a direct extraction from Shopify where the job table is responsible for a multitude of core tasks.

Heroku Redis

Heroku Redis

Heroku Redis is an in-memory key-value data store, run by Heroku, that is provisioned and managed as an add-on. Heroku Redis is accessible from any language with a Redis driver, including all languages and frameworks supported by Heroku.

Faktory

Faktory

Redis -> Sidekiq == Faktory -> Faktory. Faktory is a server daemon which provides a simple API to produce and consume background jobs. Jobs are a small JSON hash with a few mandatory keys.

Kue

Kue

Kue is a feature rich priority job queue for node.js backed by redis. A key feature of Kue is its clean user-interface for viewing and managing queued, active, failed, and completed jobs.

Bull

Bull

The fastest, most reliable, Redis-based queue for Node. Carefully written for rock solid stability and atomicity.

RedisGreen

RedisGreen

Redis drives the best sites on the web, from Twitter to Pinterest. RedisGreen makes it easy for anyone to use. Customers can spin up databases at the click of a button. RedisGreen's future is in very fast tools to make the most difficult aspects of modern web application development faster, cheaper, and less labor-intensive.<br>

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