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Memcached

6.7K
4.9K
+ 1
470
Pouchdb

119
226
+ 1
6
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Memcached vs Pouchdb: 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; Pouchdb: Open-source JavaScript database inspired by Apache CouchDB that's designed to run well within the browser. PouchDB enables applications to store data locally while offline, then synchronize it with CouchDB and compatible servers when the application is back online, keeping the user's data in sync no matter where they next login.

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

Memcached and Pouchdb are both open source tools. It seems that Pouchdb with 12.1K GitHub stars and 1.21K forks on GitHub has more adoption than Memcached with 8.99K GitHub stars and 2.6K GitHub forks.

Facebook, Instagram, and Dropbox are some of the popular companies that use Memcached, whereas Pouchdb is used by BrightMachine, Greenkeeper, and SearchBookGo, LLC.. Memcached has a broader approval, being mentioned in 755 company stacks & 267 developers stacks; compared to Pouchdb, which is listed in 8 company stacks and 9 developer stacks.

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Pros of Memcached
Pros of Pouchdb
  • 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
  • 2
    Offline cache
  • 1
    JSON
  • 1
    Very fast
  • 1
    Free
  • 1
    Repication

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Cons of Memcached
Cons of Pouchdb
  • 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 Pouchdb?

    PouchDB enables applications to store data locally while offline, then synchronize it with CouchDB and compatible servers when the application is back online, keeping the user's data in sync no matter where they next login.

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

    Jobs that mention Memcached and Pouchdb as a desired skillset
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    What tools integrate with Memcached?
    What tools integrate with Pouchdb?

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    Blog Posts

    Dec 22 2020 at 9:26PM

    Pinterest

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    JavaScriptGitHubNode.js+26
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    JavaScriptGitHubPython+42
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    What are some alternatives to Memcached and Pouchdb?
    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