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  1. Stackups
  2. Utilities
  3. Caching
  4. Managed Memcache
  5. Amazon ElastiCache vs Sidekiq

Amazon ElastiCache vs Sidekiq

OverviewComparisonAlternatives

Overview

Amazon ElastiCache
Amazon ElastiCache
Stacks1.3K
Followers1.0K
Votes151
Sidekiq
Sidekiq
Stacks1.2K
Followers632
Votes408

Amazon ElastiCache vs Sidekiq: What are the differences?

Introduction: 

1. **Data storage and retrieval**: Amazon ElastiCache is a fully managed in-memory caching service which stores data in RAM for fast retrieval, while Sidekiq is a background job processing tool that helps manage and execute jobs asynchronously.
2. **Scalability**: Amazon ElastiCache allows for easy scaling by adding additional nodes to the cache cluster, whereas Sidekiq relies on scaling by increasing the number of worker processes.
3. **Data persistence**: Amazon ElastiCache does not provide data persistence by default, but offers options for data backup and restoration, while Sidekiq relies on external data storage systems for persistence.
4. **Pricing model**: Amazon ElastiCache charges based on the instance type used and the amount of data stored, while Sidekiq is an open-source library with no direct costs associated with its usage.
5. **Monitoring and management**: Amazon ElastiCache comes with monitoring and management tools like CloudWatch integration and Auto Discovery, whereas Sidekiq requires additional setup for monitoring and management.
6. **Use case**: Amazon ElastiCache is typically used for improving latency and scaling web applications, while Sidekiq is specifically designed for processing background jobs efficiently.

In Summary, Amazon ElastiCache and Sidekiq differ in data storage, scalability, data persistence, pricing model, monitoring, management, and use cases.

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Detailed Comparison

Amazon ElastiCache
Amazon ElastiCache
Sidekiq
Sidekiq

ElastiCache improves the performance of web applications by allowing you to retrieve information from fast, managed, in-memory caches, instead of relying entirely on slower disk-based databases. ElastiCache supports Memcached and Redis.

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.

Support for two engines: Memcached and Redis;Ease of management via the AWS Management Console. With a few clicks you can configure and launch instances for the engine you wish to use.;Compatibility with the specific engine protocol. This means most of the client libraries will work with the respective engines they were built for - no additional changes or tweaking required.;Detailed monitoring statistics for the engine nodes at no extra cost via Amazon CloudWatch;Pay only for the resources you consume based on node hours used
-
Statistics
Stacks
1.3K
Stacks
1.2K
Followers
1.0K
Followers
632
Votes
151
Votes
408
Pros & Cons
Pros
  • 58
    Redis
  • 32
    High-performance
  • 26
    Backed by amazon
  • 21
    Memcached
  • 14
    Elastic
Pros
  • 124
    Simple
  • 99
    Efficient background processing
  • 60
    Scalability
  • 37
    Better then resque
  • 26
    Great documentation

What are some alternatives to Amazon ElastiCache, Sidekiq?

Beanstalkd

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.

MemCachier

MemCachier

MemCachier provides an easy and powerful managed caching solution for all your performance and scalability needs. It works with the ubiquitous memcache protocol so your favourite language and framework already supports it.

Memcached Cloud

Memcached Cloud

Memcached Cloud is a fully-managed service for running your Memcached in a reliable and fail-safe manner. Your dataset is constantly replicated, so if a node fails, an auto-switchover mechanism guarantees data is served without interruption. Memcached Cloud provides various data persistence options as well as remote backups for disaster recovery purposes.

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.

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.

Bulk Writer GPT

Bulk Writer GPT

Create unlimited articles in one go by uploading a CSV of keywords. The system handles queue management, real-time progress tracking, automatic retries for failed articles, and multi-format exports—making large-scale content creation fast, stable, and hands-free.

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