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 seems to be a lot more popular than Amazon WorkDocs. While we know about 218 links to Redis, we've tracked only 1 mention of Amazon WorkDocs. 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.
What a lot of teams in my company do is have a less formal part (more like brainstorming) done with Quip (https://quip.com/) before having the more formal part in Amazon WorkDocs (https://aws.amazon.com/workdocs/... Disclaimer, I work for Amazon). Workdocs is a pretty good tool for versioning, commenting on and sharing Word documents, but it's not great for multiple people working on a document at the same time.... - Source: Hacker News / almost 4 years 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 / 16 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 / 22 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
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
CouchDB - HTTP + JSON document database with Map Reduce views and peer-based replication
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
CouchBase - Document-Oriented NoSQL Database
memcached - High-performance, distributed memory object caching system