Redis
MongoDB
ArangoDB
Apache Cassandra
PostgreSQL
neo4j
memcached
CouchBase
Rust
Python
Java
JavaScript
Haskell
Elixir
NIM
Clojure
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.
We recommend LibHunt Rust for discovery and comparisons of trending Rust projects.
RustBased on our record, Redis should be more popular than Rust. It has been mentiond 186 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.
One of the most effective ways to improve the application’s performance is caching regularly accessed data. There are two leading key-value stores: Memcached and Redis. I prefer using Memcached Cloud add-on for caching because it was originally intended for it and is easier to set up, and using Redis only for background jobs. - Source: dev.to / 3 days ago
Hi there! I want to show off a little feature I made using hanami, htmx and a little bit of redis + sidekiq. - Source: dev.to / about 1 month ago
Data Handling: Utilizes Windmill for data pipelines, with a primary database powered by PostgreSQL. Auxiliary data storage is handled by MongoDB, with Redis for caching to optimize performance. - Source: dev.to / about 1 month ago
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 / about 2 months ago
Redis - real time data storage with different data structures in a cache. - Source: dev.to / 2 months ago
Let's dive back into Rust! This time we're going to be going through the lesson called "Enums and Pattern Matching". We're going to be looking at inferring meaning with our data, how we can use match to execute different code depending on input and finally we'll have a look at if let. - Source: dev.to / 3 months ago
We will be using rust. Rust is a very simple to use memory and type safe language that is excellent for building cool and reliable CLI’s. In fact it has quickly become the number one tool for building CLI’s. I’ll dive into more on why rust CLI’s are good in a future blog post, so stay tuned for that. So, with that, let’s get our project set up. Install rust on your machine if you have not already. You can do so... - Source: dev.to / 9 months ago
This is the subreddit of the Rust programming language. You’re welcome to start learning it, but the subreddit you’re looking for is r/playrust. Source: about 1 year ago
The Rust Project certainly has slogans. The web site says, for example:. Source: about 1 year ago
Hello rustaceans, this is my first usable rust project which is a simple local http server. Posting here to get feedback on what I have done incorrectly or not in a idiomatic way and how to fix them in a idiomatic way. Cheers :). Source: about 1 year ago
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Python - Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
