KeyDB
Redis
memcached
MongoDB
Dragonfly DB
Apache Ignite
Aerospike
Hazelcast
RocksDB
Redis
memcached
MongoDB
Aerospike
MapDB
Apache Arrow
Amazon ElastiCache
KeyDB RocksDBRocksDB might be a bit more popular than KeyDB. We know about 13 links to it since March 2021 and only 10 links to 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.
These facts only hold when the size of your payload and the number of connections remain relatively small. This easily jumps out the window with ever-increasing load parameters. The threshold is, unfortunately, rather low at a high number of connections and increased payload sizes. Modern large-scale micro-services will easily have over 100 running instances at medium scale. And since most instances employ some... - Source: dev.to / 4 months ago
The LMS Moodle Operator serves as a meta-operator, orchestrating the deployment and management of Moodle instances in Kubernetes. It handles the entire stack required to run Moodle, including components like Postgres, Keydb, NFS-Ganesha, and Moodle itself. Each of these components has its own Kubernetes Operator, ensuring seamless integration and management. - Source: dev.to / about 1 year 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 2 years 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 3 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 3 years ago
When we started building Qdrant, we needed to pick something ready for the task. So we chose RocksDB as our embedded key-value store. - Source: dev.to / 3 months ago
One thing you should know is that the K8s architecture is optimized for stateless applications, which don't store changing information within themselves and whose output depend solely on input from the user or auxiliary processes. Conduit, on the contrary, is tightly coupled with its high-performance database, RocksDB, and has stateful behavior. That's why we need to take extra care by not replicating our process... - Source: dev.to / 8 months ago
RocksDB: A high-performance embedded database optimized for multi-core CPUs and fast storage like SSDs. Its use of a log-structured merge-tree (LSM tree) makes it suitable for applications requiring high throughput and efficient storage, such as streaming data processing. - Source: dev.to / about 1 year ago
[RocksDB](https://rocksdb.org/) isn’t a distributed storage system, fwiw. It’s an embedded KV engine similar to LevelDB, LMDB, or really sqlite (though that’s full SQL, not just KV). - Source: Hacker News / about 1 year ago
To output the top 3 rocks, our engine has to first store all the rocks in some sorted way. To do this, we of course picked RocksDB, an embedded lexicographically sorted key-value store, which acts as the sorting operation's persistent state. In our RocksDB state, the diffs are keyed by the value of weight, and since RocksDB is sorted, our stored diffs are automatically sorted by their weight. - Source: dev.to / over 1 year ago
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
memcached - High-performance, distributed memory object caching system
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Dragonfly DB - Dragonfly - Scalable in-memory datastore made simple
Aerospike - Aerospike is a high-performing NoSQL database supporting high transaction volumes with low latency.
Apache Ignite - high-performance, integrated and distributed in-memory platform for computing and transacting on...
