Based on our record, memcached should be more popular than RocksDB. It has been mentiond 36 times since March 2021. 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.
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
Memcached can help when lightning-fast performance is needed. These tools store frequently accessed data, such as session details, API responses, or product prices, in RAM. This reduces the laid on your primary database, so you can deliver microsecond response times. - Source: dev.to / 2 months ago
In-memory tools like Redis or Memcached for fast Data retrieval. - Source: dev.to / 3 months ago
A caching layer using popular in-memory databases like Redis or Memcached can go a long way in addressing Postgres connection overload issues by being able to handle a much larger concurrent request load. Adding a cache lets you serve frequent reads from memory instead, taking pressure off Postgres. - Source: dev.to / 3 months ago
Memcached — Free and well-known for its simplicity, Memcached is a distributed and powerful memory object caching system. It uses key-value pairs to store small data chunks from database calls, API calls, and page rendering. It is available on Windows. Strings are the only supported data type. Its client-server architecture distributes the cache logic, with half of the logic implemented on the server and the other... - Source: dev.to / 7 months ago
The app depends on several packages to run, so I need to install them locally too. I used a combination of brew and orbstack / docker for installing packages. Some dependencies for this project are redis, mongodb and memcache. - Source: dev.to / 9 months ago
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Aerospike - Aerospike is a high-performing NoSQL database supporting high transaction volumes with low latency.
Pivotal GemFire - Pivotal GemFire® is a real-time distributed data store that solves the hard problems of...
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
KeyDB - KeyDB is fast NoSQL database with full compatibility for Redis APIs, clients, and modules.