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 a lot more popular than Yjs. While we know about 216 links to Redis, we've tracked only 19 mentions of Yjs. 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.
Of course, you don’t have to code this functionality from scratch! You can also look at open-source software like Yjs, text-crdt, Automerge and so many more. Alternatively, you can check out tools like Liveblocks, Ably, etc. Which enable collaborative multi-player features. - Source: dev.to / 4 months ago
I've built this app some time ago but only shared with close friends. It has been useful for me so I decided to share here. It works by sharing state with yjs [1], as long as you are in the same session, i.e. The same path. https://github.com/yjs/yjs. - Source: Hacker News / 7 months ago
I write undo/redo/history in web/JS extensively. This the best lib out there for such tasks IMHO: https://github.com/yjs/yjs And you're right. You don't want undo/redo only in multi-user apps. You want to have each user have their own local undo/redo events that they can apply and unapply from the shared state which has its own events apart from each user. Everyone... - Source: Hacker News / 9 months ago
After reviewing the ~600 lines of code, I have to ask what about this undo/redo manager is "advanced"? This seems like a naive implementation of a snapshot collection that is selected via array index. It's not event sourcing, OT or CRDT. With every event, the entire object is serialized and put into the heap. I can't even imagine what this does for performance when you deal with any object of significant size.... - Source: Hacker News / 9 months ago
I've seen it come up often in collaborative text editors. Also see: https://github.com/yjs/yjs. - Source: Hacker News / over 1 year 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 / 6 days ago
Slap on some Redis, sprinkle in a few set() calls, and boom—10x faster responses. - Source: dev.to / 6 days 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 / 20 days ago
Redis® Cluster is a fully distributed implementation with automated sharding capabilities (horizontal scaling capabilities), designed for high performance and linear scaling up to 1000 nodes. . - Source: dev.to / about 1 month ago
Instead of spinning up Redis, use an unlogged table in PostgreSQL for fast, ephemeral storage. - Source: dev.to / 2 months ago
Thymer - Web-based Project management and task planning for people who hate project management and task planning. For individuals, teams and small businesses.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
RxDB - A fast, offline-first, reactive Database for JavaScript Applications
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
Automerge - A JSON-like data structure (a CRDT) that can be modified concurrently by different users, and merged again automatically.
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.