Amazon ElastiCache vs Memcached Cloud

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Amazon ElastiCache

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Memcached Cloud

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Amazon ElastiCache vs Memcached Cloud: What are the differences?

What is Amazon ElastiCache? 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.

What is Memcached Cloud? A fully-managed service for hosting and running your memcached in a reliable and fail-safe manner. 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.

Amazon ElastiCache and Memcached Cloud belong to "Managed Memcache" category of the tech stack.

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, Memcached Cloud provides the following key features:

  • true high-availability
  • fast storage engine
  • backups and imports

"Redis" is the primary reason why developers consider Amazon ElastiCache over the competitors, whereas "Heroku add-on" was stated as the key factor in picking Memcached Cloud.

According to the StackShare community, Amazon ElastiCache has a broader approval, being mentioned in 349 company stacks & 79 developers stacks; compared to Memcached Cloud, which is listed in 3 company stacks and 4 developer stacks.

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Pros of Amazon ElastiCache
Pros of Memcached Cloud
  • 57
    Redis
  • 32
    High-performance
  • 26
    Backed by amazon
  • 21
    Memcached
  • 14
    Elastic
  • 6
    High-availability
  • 6
    Heroku add-on
  • 3
    Fast
  • 2
    Email alerts
  • 2
    Fail-safe
  • 1
    24/7 monitoring & support
  • 1
    Backups and import
  • 1
    Offered by Redis Labs
  • 1
    Auto-switchover
  • 1
    Seamless scalability

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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 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.

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What companies use Amazon ElastiCache?
What companies use Memcached Cloud?
See which teams inside your own company are using Amazon ElastiCache or Memcached Cloud.
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What tools integrate with Amazon ElastiCache?
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What are some alternatives to Amazon ElastiCache and Memcached Cloud?
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
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