Document databases offer a flexible data model without needing to pre-define anything about their structure or values. This makes them ideal for scenarios where a data model is constantly changing or not fully known at the start of a project. However, the lack of predefined schema often results in poor query performance, making them less ideal for real-time and near-real-time applications.
RedisJSON solves the document store performance problem. It can either be used as a cache to reduce read and write latencies or as a fully-featured in-memory document store that provides native support to store, index, query, and runs full-text search on JSON documents, all at the speed of Redis.
In this webinar, learn why RedisJSON is great for time-sensitive applications, as well as non-real-time tactical and customer-experience scenarios, and how its design differs from other document stores. Other highlights include: