Sanjeev Mohan-Principal-SanjMo, Yiftach Shoolman-CTO-Redis, Pieter Cailliau-Prod. Mgmnt-Redis, Ash Sahu-Prod. Mrkting-Redis
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 run 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:
* Key considerations for moving from RDBMS to document databases
* Main differences between existing document stores and RedisJSON
* Key capabilities, and use cases for RedisJSON