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Memcached

6.7K
4.9K
+ 1
470
Riak

100
129
+ 1
44
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Memcached vs Riak: 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; Riak: A distributed, decentralized data storage system. Riak is a distributed database designed to deliver maximum data availability by distributing data across multiple servers. As long as your client can reach one Riak server, it should be able to write data. In most failure scenarios, the data you want to read should be available, although it may not be the most up-to-date version of that data.

Memcached and Riak belong to "Databases" category of the tech stack.

"Fast object cache" is the top reason why over 133 developers like Memcached, while over 9 developers mention "High Performance " as the leading cause for choosing Riak.

Memcached and Riak are both open source tools. Memcached with 8.99K GitHub stars and 2.6K forks on GitHub appears to be more popular than Riak with 3.24K GitHub stars and 530 GitHub forks.

According to the StackShare community, Memcached has a broader approval, being mentioned in 755 company stacks & 267 developers stacks; compared to Riak, which is listed in 15 company stacks and 10 developer stacks.

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Pros of Memcached
Pros of Riak
  • 138
    Fast object cache
  • 128
    High-performance
  • 90
    Stable
  • 65
    Mature
  • 33
    Distributed caching system
  • 11
    Improved response time and throughput
  • 3
    Great for caching HTML
  • 2
    Putta
  • 14
    High Performance
  • 11
    High Availability
  • 9
    Easy Scalability
  • 5
    Flexible
  • 1
    Strong Consistency
  • 1
    Eventual Consistency
  • 1
    Distributed
  • 1
    Multi datacenter deployments
  • 1
    Reliable

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Cons of Memcached
Cons of Riak
  • 2
    Only caches simple types
    Be the first to leave a con

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    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 Riak?

    Riak is a distributed database designed to deliver maximum data availability by distributing data across multiple servers. As long as your client can reach one Riak server, it should be able to write data. In most failure scenarios, the data you want to read should be available, although it may not be the most up-to-date version of that data.

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    What tools integrate with Memcached?
    What tools integrate with Riak?

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    Blog Posts

    Dec 22 2020 at 9:26PM

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    GitHubPythonNode.js+47
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    JavaScriptGitHubNode.js+26
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    What are some alternatives to Memcached and Riak?
    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