Remove memcache
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Redis vs. Memcached – 2021 Comparison

Scalegrid

Memcached, on the other hand, was created in 2003 by Brad Fitzpatrick. Both Redis and Memcached are: NoSQL in-memory data structures Written in C Open source Used to speed up applications Support sub-millisecond latency In 2014, Salvatore wrote an excellent StackOverflow post on […].

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Rocket Performance on Your Java Application with Memcached

DZone

Memcached is an easy-to-use, high-performance, in-memory data store. It offers a mature, scalable, open-source solution for delivering sub-millisecond response times, unlike databases that store data on disk or SSDs, Memcached keeps its data in memory. This tutorial will cover how to use Memcached in Jakarta EE with Eclipse JNoSQL.

Java 203
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Redis vs Memcached

Software Architecture

Memcached is in-memory key value store whereas Redis is in-memory data structures store. Memcached supports only string data type which is ideal for storing read-only data. Memcached cannot be used as a pubsub system. Memcached is more memory efficient than Redis. Memcached is volatile store and Redis is non-volatile.

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Redis, Valkey, and Percona’s Ongoing Support of Open Source

Percona

For me, the Redis story starts with… Memcached. Back in the early 2000s, “Web 2.0” ” was being built following the aftermath of the dot-com crash. The open source LAMP (Linux-Apache-MySQL-PHP/Perl/Python) stack was all the rage.

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Redis vs Memcached in 2024

Scalegrid

Choosing between Redis and Memcached hinges on specific application requirements. In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. Redis and Memcached both provide high performance with sub-millisecond response times.

Cache 130
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How RevenueCat Manages Caching for Handling over 1.2 Billion Daily API Requests

InfoQ

The team at RevenueCat created an open-source memcache client that provides several advanced features. RevenueCat extensively uses caching to improve the availability and performance of its product API while ensuring consistency. The company shared its techniques to deliver the platform, which can handle over 1.2 billion daily API requests.

Cache 106
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Scaling Redis and Memcached at Wayfair

Wayfair Tech

I wrote a post last year on consistent hashing for Redis and Memcached with ketama: [link] We've evolved our system a lot since then, and I gave a talk about the latest developments at Facebook's excellent Data@Scale Boston conference in November: [link] We have some updates to both design and. Read more.

Design 40