Amazon ElastiCache vs Redis Cloud

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Amazon ElastiCache

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Redis Cloud

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Amazon ElastiCache vs Redis Cloud: What are the differences?

Developers describe Amazon ElastiCache as "Deploy, operate, and scale an in-memory cache in the cloud". 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. 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.

Amazon ElastiCache belongs to "Managed Memcache" category of the tech stack, while Redis Cloud can be primarily classified under "Redis Hosting".

Some of the features offered by Amazon ElastiCache are:

  • 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.

On the other hand, Redis Cloud provides the following key features:

  • Infinite scalability, all commands supported
  • Auto-failover with no ops
  • Highest performance, even for small datasets

"Redis" is the top reason why over 53 developers like Amazon ElastiCache, while over 7 developers mention "Heroku Addon" as the leading cause for choosing Redis Cloud.

According to the StackShare community, Amazon ElastiCache has a broader approval, being mentioned in 342 company stacks & 79 developers stacks; compared to Redis Cloud, which is listed in 20 company stacks and 8 developer stacks.

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Pros of Amazon ElastiCache
Pros of Redis Cloud
  • 56
    Redis
  • 31
    High-performance
  • 25
    Backed by amazon
  • 20
    Memcached
  • 12
    Elastic
  • 9
    Heroku Addon

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What is Amazon ElastiCache?

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.

What is Redis Cloud?

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.

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What companies use Amazon ElastiCache?
What companies use Redis Cloud?
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What tools integrate with Amazon ElastiCache?
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What are some alternatives to Amazon ElastiCache and Redis Cloud?
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.
Elasticsearch
Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
Memcached
Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.
Azure Redis Cache
It perfectly complements Azure database services such as Cosmos DB. It provides a cost-effective solution to scale read and write throughput of your data tier. Store and share database query results, session states, static contents, and more using a common cache-aside pattern.
Amazon DynamoDB
With it , you can offload the administrative burden of operating and scaling a highly available distributed database cluster, while paying a low price for only what you use.
See all alternatives