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.
No JsonAPI videos yet. You could help us improve this page by suggesting one.
Based on our record, Redis should be more popular than JsonAPI. 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.
There is a group of people who set out to standardize JSON responses into a single response style, either for returning single or multiple resources. You can take their style as a reference when designing their API to ensure uniformity of responses. - Source: dev.to / 22 days ago
The server seems to be using the popular JSON:API standard which is a great way to build APIs. But should we really use these data structures in the frontend? - Source: dev.to / 12 days ago
Note: You think the response data structure with the data field and the included field with mixed data types looks weird? You might not have encountered the popular JSON:API standard yet. - Source: dev.to / 28 days ago
In addition to saving you time on boilerplate, the API provided by Hatchify fully implements the JSON: API specification, which stipulates solid standards to define the peculiarities of CRUD REST APIs. Get back all the time spent bike-shedding how to implement standard API features like filtering, pagination, including related data, etc. JSON: API offers consistent practices for frontend and backend developers to... - Source: dev.to / 3 months ago
-JSON:API format responses (https://jsonapi.org) for better standardization. Built using Ruby on Rails, Sunnybox is designed to offer a powerful yet easy-to-use solution for developers managing email systems. I'd really appreciate your feedback on: - The API's user-friendliness and efficiency. - Source: Hacker News / 6 months 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 / about 2 hours 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 / 29 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
JSON Placeholder - JSON Placeholder is a modern platform that provides you online REST API, which you can instantly use whenever you need any fake data.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
ReqRes - A hosted REST-API ready to respond to your AJAX requests.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
JSON Server - Get a full fake REST API with zero coding in less than 30 seconds. For front-end developers who need a quick back-end for prototyping and mocking
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.