Why developers like Memcached

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.

Memcached is a tool in the Databases category of a tech stack.

Memcached is an open source tool with 13.4K GitHub stars and 3.3K GitHub forks. Here’s a link to Memcached's open source repository on GitHub

Explore Memcached's Story

Who uses Memcached?

Companies

1236 companies reportedly use Memcached in their tech stacks, including Facebook, Pinterest, and Shopify.

Facebook

Shopify

Instagram

Twitter

Udemy

Instacart

Slack

Robinhood

Developers

6277 developers on StackShare have stated that they use Memcached.

jimmycuadra.com

ytnobody

Thomas Davis

Scott Tactical

24 Pull Requests

Tools I Know

yoshi-iketani

SuperCarers

Open Food Facts

Memcached Integrations

Datadog, Tutum, SignalFx, VerneMQ, and Cloud 66 are some of the popular tools that integrate with Memcached. Here's a list of all 21 tools that integrate with Memcached.

Datadog

Tutum

SignalFx

VerneMQ

Cloud 66

McRouter

Dynomite

OpsDash

Server Density

Pros of Memcached

139

Fast object cache

129

High-performance

Stable

Mature

Distributed caching system

Improved response time and throughput

Great for caching HTML

Putta

Decisions about Memcached

Here are some stack decisions, common use cases and reviews by companies and developers who chose Memcached in their tech stack.

Vikrant L

Sep 26, 2022 | 6 upvotes · 30.8K views

Needs advice

Memcached

and

Varnish

Existing configuration is like we have 100 local expensive Docker pod based decryptions (in=encrypted, out-=decrypted).

To reduce the load, 8 Varnish baremetals are used in between the client and the dockers. The varnish is dropping in performance if the connection count to it increases.'

-- the client C code is also integrated with Memcached for other types of data.

What would be my steps to compare Varnish vs Memcache?

TTL is 12 hours
qps is 500kqps across all varnish
connection count to each varnish server is 360000
size of data per query is 5k to 14k

thanks all!

Gabriel Pa

CEO at NaoLogic Inc · Jan 2, 2020 | 10 upvotes · 564.2K views

Migrated

from

CouchDB

Couchbase

Naologic

We implemented our first large scale EPR application from naologic.com using CouchDB .

Very fast, replication works great, doesn't consume much RAM, queries are blazing fast but we found a problem: the queries were very hard to write, it took a long time to figure out the API, we had to go and write our own @nodejs library to make it work properly.

It lost most of its support. Since then, we migrated to Couchbase and the learning curve was steep but all worth it. Memcached indexing out of the box, full text search works great.

Naologic: Increase revenue through better collaboration between employees, vendors and remote teams

See all decisions

Blog Posts

Improving Distributed Caching Performance and Efficiency at Pi...

Jun 1 2022 at 5:03PM

977

Scaling Cache Infrastructure at Pinterest

Dec 22 2020 at 9:26PM

2672

How Sqreen handles 50,000 requests every minute in a write-hea...

Sep 17 2019 at 9:38PM

Sqreen

+17

6877

Kafka and Ruby, a Sidekiq Love Story

Jun 6 2019 at 5:11PM

AppSignal

1687

E-Commerce at Scale: Inside Shopify's Tech Stack

Jul 3 2018 at 4:40AM

Shopify

+17

37057

Dubsmash: Scaling To 200 Million Users With 3 Engineers

Dec 14 2017 at 10:02AM

Dubsmash

+47

72666

How MapJam Is Building A Scalable Custom Maps Service

Jul 29 2016 at 2:27AM

MapJam

+26

5009

Scaling Zapier to Automate Billions of Tasks

Feb 4 2016 at 6:44PM

Zapier

+42

22082

Memcached Alternatives & Comparisons

What are some alternatives to Memcached?

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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