Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache and message broker. It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes with radius queries and streams. Redis has built-in replication, Lua scripting, LRU eviction, transactions and different levels of on-disk persistence, and provides high availability via Redis Sentinel and automatic partitioning with Redis Cluster.
Based on our record, Redis seems to be a lot more popular than KeyDB. While we know about 183 links to Redis, we've tracked only 8 mentions of KeyDB. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The page 404s for me currently and it does not seem to be archived by the wayback machine either: https://web.archive.org/web/20240000000000*/https://redis.io/news/121. - Source: Hacker News / 16 days ago
Redis - real time data storage with different data structures in a cache. - Source: dev.to / 17 days ago
Redis.io no longer mentions open source. They have still not changed meta description on their page. It still says it is open source ^^ view-source:https://redis.io/. - Source: Hacker News / about 1 month ago
Follow the steps below to install Redis:. - Source: dev.to / about 2 months ago
Redis: An open-source, in-memory data structure store supporting various data types. It offers persistence, replication, and clustering, making it ideal for more complex caching requirements and session storage. - Source: dev.to / about 2 months ago
Congrats on the funding and getting production ready, it's good that KeyDB (and Redis) get some competition. https://docs.keydb.dev/ Open question, how does Dragonfly differ from KeyDB? - Source: Hacker News / about 1 year ago
See: Distroless images[0] This is one of the huge benefits of recent systems languages like go and rust -- they compile to single binaries so you can use things like scatch[1] containers. You may have to fiddle with gnu libc/musl libc (usually when getaddrinfo is involved/dns etc), but once you're done with it, packaging is so easy. Even languages like Node (IMO the most progressive of the scripting languages)... - Source: Hacker News / almost 2 years ago
Interesting project. Very similar to KeyDB [1] which also developed a multi-threaded scale-up approach to Redis. It's since been acquired by Snapchat. There's also Aerospike [2] which has developed a lot around low-latency performance. 1. https://docs.keydb.dev/ 2. https://aerospike.com/. - Source: Hacker News / almost 2 years ago
How does this compare to other multithreaded redis protocol compatibles? KeyDB is one key player https://docs.keydb.dev/. - Source: Hacker News / almost 2 years ago
KeyDB is a fork of (everyone's favourite cache store) Redis, and it's messaging protocol and API is 100% compatible with Redis. What that means is you can just point any Redis client (like Hiredis or redis-rb) at a KeyDB instance, and it'll Just Work™️, with no changes required. The KeyDB selling points are: 1) multi-threading by default, and a lot of work was ploughed in to high performance around multi-threading... - Source: dev.to / about 2 years ago
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Skytable - Skytable is a free and open-source realtime NoSQL database that aims to provide flexible data modelling at scale.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
memcached - High-performance, distributed memory object caching system
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
Dragonfly DB - Dragonfly - Scalable in-memory datastore made simple