KeyDB
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KeyDB | Memcached | |
---|---|---|
24 | 55 | |
10,499 | 13,156 | |
17.6% | 0.9% | |
8.6 | 8.5 | |
12 days ago | 7 days ago | |
C++ | C | |
BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" License |
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.
KeyDB
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Redict 7.3.0, a copyleft fork of Redis, is now available
Three. KeyDB forked before the recent shake-up.
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KeyDB: A Multithreaded Fork of Redis
Can you explain what lead you to believe it's dead?
Looking at the Issues in their Github, a couple of days ago they mentioned to be working on some features in a branch.
https://github.com/Snapchat/KeyDB/issues/798#issuecomment-20...
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Redict is an independent, copyleft fork of Redis
https://github.com/Snapchat/KeyDB
KeyDB is an existing fork that’s well supported and has a solid community for those interested. It takes a different philosophy to Redis but can be a drop in replacement in many cases
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Redis License Changed
Check out DragonflyDB (BSL): https://www.dragonflydb.io/
BSL is not OSI-approved, but it’s a much more reasonable AWS-resistant license. It’s the same license CockroachDB uses, for example.
KeyDB (BSL, acquired by Snapchat) is also an option: https://keydb.dev/
BSL is a much better license, but it’s a gamble on how long KeyDB will be supported. I don’t want to mess around with such a core part of my architecture.
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The first version of Redis, written in Tcl
I think this is relevant... These are 3 OSS databases that can be an alternative to Redis:
- KeyDB: https://github.com/snapchat/keydb
- Dragonfly: https://github.com/dragonflydb/dragonfly
- Skytable: https://github.com/skytable/skytable
I have used keyDB before. The raft consensus makes building an HA Redis easy.
To me it's still not clear if 6.3.x is stable (https://github.com/Snapchat/KeyDB/issues/494) and performant (https://github.com/Snapchat/KeyDB/issues/470).
- I deleted 78% of my Redis container and it still works
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So, you call yourself the fastest key/value store? It's 5X, 10x and 25X faster
- KeyDB: https://github.com/snapchat/keydb
Memcached
- Redis Re-Implemented with SQLite
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How to choose the right type of database
Memcached: A simple, open-source, distributed memory object caching system primarily used for caching strings. Best suited for lightweight, non-persistent caching needs.
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Sieve is simpler than LRU
Oh, thank you! I didn't realize that LRU Maintainer Thread was more than an expiration reaper. When it was first being introduced that was its first responsibility as lazy expiration removal by size eviction meant dead entries wasted capacity. It was all work in progress when I had read about it [1] and talked to dormando, so it got fuzzy. The compat code [2, 3] might have also thrown me off if I only looked at the setting and not the usage. Its a neat variant to all of these ideas.
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A Developer's Journal: Simplifying the Twelve-Factor App
stores session state in a session store like Memcached or Redis.
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Django Caching 101: Understanding the Basics and Beyond
Django supports using Memcached as a cache backend. Memcached is a high-performance, distributed memory caching system that can be used to store cached data across multiple servers.
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Node.js server-side authentication: Tokens vs. JWT
In server-side authentication, the session state is stored on the server-side, which can be scaled horizontally across multiple servers using tools like Redis or Memcached.
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Scaling moderate sized websites
Caching - while it's not possible to cache everything, there's always a large percentage of your website / app that can be cached for an hour or ten minutes or 1 day etc... - all depends on the type of content but the longer you can cache for without negatively effecting content quality - the better. A good caching server example would be redis : https://redis.io/ or https://memcached.org/
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Why do people curse JS so much, but also say it's better than Python
If you really care about optimising this, you need, as other traders pointed out, a cache. Caches are a way of ensuring that the data you query stays in memory on a separate machine so you don't have the delay to disk & to commit. Things like memcached are created for this exact purpose. If you care about optimisation, look into it and other options. This is not a simple problem. Distributed systems like these are a whole area of work and research, so it won't be as simple as just swapping a DB, but if you care about performance, this is the path you have to go down eventually.
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Web resource caching: Server-side
A couple of dedicated server-side resource caching solutions have emerged over the years: Memcached, Varnish, Squid, etc. Other solutions are less focused on web resource caching and more generic, e.g., Redis or Hazelcast.
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jwz: Mastodon stampede
MEMCACHED
What are some alternatives?
dragonfly - A modern replacement for Redis and Memcached
Varnish - The project homepage
keydb-operator - A KeyDB (Drop-In Alternative to Redis) Operator for Kubernetes, based on Ansible Operator SDK.
SSDB - SSDB - A fast NoSQL database, an alternative to Redis
mini-redis - Incomplete Redis client and server implementation using Tokio - for learning purposes only
node-cache - A simple in-memory cache for nodejs
tikv - Distributed transactional key-value database, originally created to complement TiDB
skytable - Skytable is a modern scalable NoSQL database with BlueQL, designed for performance, scalability and flexibility. Skytable gives you spaces, models, data types, complex collections and more to build powerful experiences
Tendis - Tendis is a high-performance distributed storage system fully compatible with the Redis protocol.
memKeyDB - MemKeyDB is a fork of Redis, adjusted to store objects on both Intel Optane Persistent Memory and DRAM.
node-cache - a node internal (in-memory) caching module