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Memcached vs Memcached Cloud

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Memcached
7.6K
5.5K
+ 1
473
Memcached Cloud
12
16
+ 1
24
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Memcached vs Memcached Cloud: What are the differences?

Memcached: High-performance, distributed memory object caching system. 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; 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.

Memcached can be classified as a tool in the "Databases" category, while Memcached Cloud is grouped under "Managed Memcache".

"Fast object cache" is the top reason why over 133 developers like Memcached, while over 5 developers mention "Heroku add-on" as the leading cause for choosing Memcached Cloud.

Memcached is an open source tool with 9K GitHub stars and 2.6K GitHub forks. Here's a link to Memcached's open source repository on GitHub.

According to the StackShare community, Memcached has a broader approval, being mentioned in 756 company stacks & 268 developers stacks; compared to Memcached Cloud, which is listed in 3 company stacks and 4 developer stacks.

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Pros of Memcached
Pros of Memcached Cloud
  • 139
    Fast object cache
  • 129
    High-performance
  • 91
    Stable
  • 65
    Mature
  • 33
    Distributed caching system
  • 11
    Improved response time and throughput
  • 3
    Great for caching HTML
  • 2
    Putta
  • 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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Cons of Memcached
Cons of Memcached Cloud
  • 2
    Only caches simple types
    Be the first to leave a con

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    - No public GitHub repository available -

    What is 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.

    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.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Memcached?
    What companies use Memcached Cloud?
    See which teams inside your own company are using Memcached or Memcached Cloud.
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    What tools integrate with Memcached?
    What tools integrate with Memcached Cloud?

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    Shopify

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    Zapier

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    What are some alternatives to Memcached 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.
    Ehcache
    Ehcache is an open source, standards-based cache for boosting performance, offloading your database, and simplifying scalability. It's the most widely-used Java-based cache because it's robust, proven, and full-featured. Ehcache scales from in-process, with one or more nodes, all the way to mixed in-process/out-of-process configurations with terabyte-sized caches.
    Varnish
    Varnish Cache is a web application accelerator also known as a caching HTTP reverse proxy. You install it in front of any server that speaks HTTP and configure it to cache the contents. Varnish Cache is really, really fast. It typically speeds up delivery with a factor of 300 - 1000x, depending on your architecture.
    Hazelcast
    With its various distributed data structures, distributed caching capabilities, elastic nature, memcache support, integration with Spring and Hibernate and more importantly with so many happy users, Hazelcast is feature-rich, enterprise-ready and developer-friendly in-memory data grid solution.
    MongoDB
    MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
    See all alternatives

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