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 delayed_job. While we know about 186 links to Redis, we've tracked only 4 mentions of delayed_job. 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.
So how do we trigger such a long-running process from a Rails request? The first option that comes to mind is a background job run by some of the queuing back-ends such as Sidekiq, Resque or DelayedJob, possibly governed by ActiveJob. While this would surely work, the problem with all these solutions is that they usually have a limited number of workers available on the server and we didn’t want to potentially... - Source: dev.to / about 2 years ago
Several gems support job queues and background processing in the Rails world — Delayed Job and Sidekiq being the two most popular ones. - Source: dev.to / about 2 years ago
Back in the day, before Sidekiq and such, we used Delayed Job https://github.com/collectiveidea/delayed_job. Source: over 2 years ago
There are a few of popular systems. A few need a database, such as Delayed::Job, while others prefer Redis, such as Resque and Sidekiq. - Source: dev.to / about 3 years ago
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 / 1 day 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 / 30 days 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 / about 2 months ago
Sidekiq - Sidekiq is a simple, efficient framework for background job processing in Ruby
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Hangfire - An easy way to perform background processing in .NET and .NET Core applications.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
Resque - Resque is a Redis-backed Ruby library for creating background jobs, placing them on multiple queues, and processing them later.
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.