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 33 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 where you setup things like batching and also solve N+1 problems with something like a dataloader, setup caching with something like Redis or even an LRU cache to act as a proxy for the frequently accessed data whenever and wherever possible, optimizing the network chatter by using something like persisted queries, optimize your resolvers by retrieving as much data as possible from the parent resolvers,... - Source: dev.to / 7 days ago
Ideally you'd want a load balancer in-front of your application and then route it to multiple redundant and stateless instances of your web application that would only relay information to the client using some sort of in-memory centralised data store, as an example setup. - Source: Reddit / 10 days ago
We could use our postgres instance to persist the timelines, but we're interested in some sort of cache from where we can retrieve these data rapidly, which seems to be a good fit for Redis. - Source: dev.to / 11 days ago
It's also possible to store this data in-memory at a Redis server if the database is not fast enough. But then you have to roll your own persistency and integrity. - Source: Reddit / 28 days ago
The most popular key-value database is Redis. - Source: dev.to / about 1 month ago
MongoDB - MongoDB (from "humongous") is a scalable, high-performance, open source NoSQL database.
PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
RRDTool - High performance data logging and graphing system for time series data
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
Beringei - High performance, in-memory storage engine for time series data (by Facebook)