Join ex-Gartner analyst, Sanjeev Mohan, and Redis Co-Founder & CTO, Yiftach Shoolman, to learn how you can improve performance of applications with the new real-time document store from Redis.
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:
By continuing to use this site, you consent to our updated privacy agreement. You can change your cookie settings at any time but parts of our site will not function correctly without them.