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Memcached

6.7K
4.9K
+ 1
470
RethinkDB

296
399
+ 1
307
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Memcached vs RethinkDB: What are the differences?

What is 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.

What is RethinkDB? JSON. Scales to multiple machines with very little effort. Open source. RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

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

"Fast object cache" is the top reason why over 133 developers like Memcached, while over 46 developers mention "Powerful query language" as the leading cause for choosing RethinkDB.

Memcached and RethinkDB are both open source tools. RethinkDB with 22.4K GitHub stars and 1.74K forks on GitHub appears to be more popular 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 RethinkDB is used by miDrive, Runbook, and The Control Group. Memcached has a broader approval, being mentioned in 755 company stacks & 267 developers stacks; compared to RethinkDB, which is listed in 37 company stacks and 25 developer stacks.

Decisions about Memcached and RethinkDB

I’m newbie I was developing a pouchdb and couchdb app cause if the sync. Lots of learning very little code available. I dropped the project cause it consumed my life. Yeats later I’m back into it. I researched other db and came across rethinkdb and mongo for the subscription features. With socketio I should be able to create and similar sync feature. Attempted to use mongo. I attempted to use rethink. Rethink for the win. Super clear l. I had it running in minutes on my local machine and I believe it’s supposed to scale easy. Mongo wasn’t as easy and there free online db is so slow what’s the point. Very easy to find mongo code examples and use rethink code in its place. I wish I went this route years ago. All that corporate google Amazon crap get bent. The reason they have so much power in the world is cause you guys are giving it to them.

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Pros of Memcached
Pros of RethinkDB
  • 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
  • 48
    Powerful query language
  • 46
    Excellent dashboard
  • 42
    JSON
  • 41
    Distributed database
  • 38
    Open source
  • 25
    Reactive
  • 16
    Atomic updates
  • 15
    Joins
  • 9
    MVCC concurrency
  • 9
    Hadoop-style map/reduce
  • 4
    Real-time, open-source, scalable
  • 4
    Geospatial support
  • 2
    A NoSQL DB with joins
  • 2
    YC Company
  • 2
    Great Admin UI
  • 2
    Changefeeds: no polling needed to get updates
  • 2
    Fast, easily scalable, great customer support

Sign up to add or upvote prosMake informed product decisions

Cons of Memcached
Cons of RethinkDB
  • 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 RethinkDB?

    RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

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

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

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    Blog Posts

    Dec 22 2020 at 9:26PM

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    What are some alternatives to Memcached and RethinkDB?
    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