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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.
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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. (by mindcrime-forks)
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> They get paid for it. Don't try to spin this as if it's someone people working on it in their spare time out of the goodness of their heart. It's just their job.
No, you can't have this both ways. I'm the main contributor from AWS, and I've worked many times on weekends because I care about open source. I like helping people, I don't need to be paid to do it. Many of the AWS folks that made changes were normal engineers that were excited to be part of Redis. https://github.com/redis/redis/pull/10419 and https://github.com/redis/redis/pull/8621 are both examples of features someone from AWS built in their free time. We're all upset about this. Not because Redis deserves to get paid, it's that they acted like they were being good stewards of the open-source community and then they changed their mind.
Just in case anybody needs it, here's a fork from the last commit before the license change.
https://github.com/mindcrime-forks/redis
Unfortunately memcached is missing some features that make Redis very powerful for uses beyond a simple KV cache (for that simple cache usage neither are as important, granted):
1. Replication
When using Redis for things like Session storage, a Job Queue, etc it's important that all hosts (web/app servers) see the same data, which means you either need them to all rely on one single server (which introduces a SPOF) or you need to be able to replicate the data, so that when the primary instance has an issue, a hot spare takes up the load with an existing dataset already in place.
2. Lua
This is slightly less important, but it provides a lot of power: systems like Qless (https://github.com/seomoz/qless) use Lua to run a job queue that executes within Redis, so you get atomic writes for free, and you aren't tied to a specific application language to get a usable queue with consistent features/results.