readable-stream VS Memcached

Compare readable-stream vs Memcached and see what are their differences.

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readable-stream Memcached
37 56
1,015 13,208
0.1% 0.7%
5.9 8.4
4 months ago 1 day ago
JavaScript C
GNU General Public License v3.0 or later BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

readable-stream

Posts with mentions or reviews of readable-stream. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-02.

Memcached

Posts with mentions or reviews of Memcached. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-01.

What are some alternatives?

When comparing readable-stream and Memcached you can also consider the following projects:

ffmpeg.wasm - FFmpeg for browser, powered by WebAssembly

Varnish - The project homepage

node-ytdl-core - YouTube video downloader in javascript.

node-cache - A simple in-memory cache for nodejs

through2-concurrent - Simple Node.JS stream (streams2) Transform that runs the transform functions concurrently (with a set max concurrency)

dragonfly - A modern replacement for Redis and Memcached

Highland - High-level streams library for Node.js and the browser

node-cache - a node internal (in-memory) caching module

peek-stream - Transform stream that lets you peek the first line before deciding how to parse it

KeyDB - A Multithreaded Fork of Redis

through2 - Tiny wrapper around Node streams2 Transform to avoid explicit subclassing noise

Redis - Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.