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Memcached

7.6K
5.5K
+ 1
473
RavenDB

73
81
+ 1
9
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Memcached vs RavenDB: What are the differences?

Developers describe Memcached as "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. On the other hand, RavenDB is detailed as "*A NoSQL Database that's fully transactional *". As a document database it remains true to the core principles of these type of storage mechanisms. Somehow it managed to combine the best of relational databases with that of document databases.

Memcached and RavenDB can be primarily classified as "Databases" tools.

Memcached and RavenDB are both open source tools. It seems that Memcached with 9.11K GitHub stars and 2.61K forks on GitHub has more adoption than RavenDB with 2.28K GitHub stars and 723 GitHub forks.

According to the StackShare community, Memcached has a broader approval, being mentioned in 937 company stacks & 1540 developers stacks; compared to RavenDB, which is listed in 7 company stacks and 4 developer stacks.

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Pros of Memcached
Pros of RavenDB
  • 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
  • 4
    Embedded Library
  • 3
    Easy of use
  • 2
    NoSql

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Cons of Memcached
Cons of RavenDB
  • 2
    Only caches simple types
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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 RavenDB?

    As a document database it remains true to the core principles of these type of storage mechanisms. Somehow it managed to combine the best of relational databases with that of document databases.

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

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

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    Blog Posts

    Dec 22 2020 at 9:26PM

    Pinterest

    Amazon EC2C langMemcached+4
    10
    2626
    Jun 6 2019 at 5:11PM

    AppSignal

    RedisRubyKafka+9
    15
    1643
    GitHubDockerReact+17
    40
    36269
    GitHubPythonNode.js+47
    54
    72312
    JavaScriptGitHubNode.js+26
    20
    4950
    JavaScriptGitHubPython+42
    53
    21855
    What are some alternatives to Memcached and RavenDB?
    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