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.
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Based on our record, Redis should be more popular than Recoiljs. It has been mentiond 218 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.
Recoil provides a modern, React-centric approach with fine-grained state control. - Source: dev.to / 3 months ago
Note that this kind of reactivity isn't exclusive to the "PUSH-PULL" model. Fine-grained reactivity refers to the precise tracking of system dependencies. So, there are PUSH and PULL reactivity models which also work in this way (I'm thinking about Jotai or Recoil. - Source: dev.to / 6 months ago
There is also one more library that is also a popular option for state management. The React Recoil. - Source: dev.to / 11 months ago
Atomic state management solutions, like Recoil or Jotai, break down state into small, reusable units called atoms. It's reducing unnecessary re-renders by allowing components to subscribe only to the specific pieces of state they need. When a state update occurs, only the components that depend on that particular atom will re-render, rather than triggering a re-render of the entire component tree or large... - Source: dev.to / 11 months ago
Recoil provides a way to manage the global state in React applications. It's an alternative to other state management solutions and integrates seamlessly with the React ecosystem. - Source: dev.to / 11 months ago
Picture this: you've just built a snappy web app, and you're feeling pretty good about it. You've added Redis to cache frequently accessed data, and your app is flying—pages load in milliseconds, users are happy, and you're a rockstar. But then, a user updates their profile, and… oops. The app still shows their old info. Or worse, a new blog post doesn't appear on the homepage. What's going on? Welcome to the... - Source: dev.to / 21 days ago
Valkey and Redis streams are data structures that act like append-only logs with some added features. Redisson PRO, the Valkey and Redis client for Java developers, improves on this concept with its Reliable Queue feature. - Source: dev.to / 27 days ago
Of course, these examples are just toys. A more proper use for asynchronous generators is handling things like reading files, accessing network services, and calling slow running things like AI models. So, I'm going to use an asynchronous generator to access a networked service. That service is Redis and we'll be using Node Redis and Redis Query Engine to find Bigfoot. - Source: dev.to / about 1 month ago
Slap on some Redis, sprinkle in a few set() calls, and boom—10x faster responses. - Source: dev.to / about 1 month ago
Real-time serving: Many push processed data into low-latency serving layers like Redis to power applications needing instant responses (think fraud detection, live recommendations, financial dashboards). - Source: dev.to / about 2 months ago
Redux.js - Predictable state container for JavaScript apps
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
MobX - Simple, scalable state management
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
Next.js - A small framework for server-rendered universal JavaScript apps
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.