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 more popular. It has been mentiond 69 times since March 2021. We are tracking product recommendations and mentions on Reddit, HackerNews and some other platforms. They can help you identify which product is more popular and what people think of it.
This is the most basic way to use our application, but we're not tracking what we've already used, so we'll need to add some logic to make sure we don't get the same name twice. For this, we'll need a datastore that is as scalable as our application. In this case, we'll use Redis, a very popular and scalable database, and ioRedis, a Node.js wrapper for Redis. - Source: dev.to / 1 day ago
Since 2008 I have been an official Debian Developer and even the Debian Project Leader from 2017—2019. I have submitted over 4,000 bugs to the project, been part of several core teams and have released over 250 security updates as well (as part of the Debian Long Term Support initiative). Today, I am the release manager of the Lintian static analysis tool but I also maintain a number of popular packages such as... - Source: Reddit / 4 days ago
I think that sums it up pretty well. The description of redis at https://redis.io/ is "Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker.". Without knowing anything about the application that you want to build, I personally wouldn't have good feeling to use Redis, that's defined as an "in-memory data structure" as the primary database for it -... - Source: Reddit / 7 days ago
In-process caching may be implemented in a Node.js application through libraries, such as node-cache, memory-cache, api-cache, and others. There is a wide variety of distributed caching solutions, but the most popular ones are Redis and Memcached. They are both in-memory key-value stores and optimal for read-heavy workloads or compute-intensive workloads due to their use of memory rather than the slower on-disk... - Source: dev.to / 8 days ago
Redis stands for REmote DIctionary Server. It is an open source, fast NoSQL database written in ANSI C and optimized for speed. Redis is an in-memory database that means that all data in Redis is stored in RAM, delivering the fastest possible access times to the data for both read and write requests. - Source: dev.to / 10 days ago
Hazelcast - Clustering and highly scalable data distribution platform for Java
MongoDB - MongoDB (from "humongous") is a scalable, high-performance, open source NoSQL database.
memcached - High-performance, distributed memory object caching system
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
Aerospike - Aerospike is a high-performing NoSQL database supporting high transaction volumes with low latency.
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.