Chennai: Redis Labs recently announced the release of RediSearch 2.0, which enables customers to build modern applications with interactive search experiences.
A press release said, the latest version allows users to automatically index (and then query) their Redis datasets without changing their application and brings an increase in performance.
Organisations are storing more and more data in Redis to guarantee real-time performance for their applications. RediSearch now allows them to unlock this data by creating secondary indexes to support their queries—instead of writing manual indexes. Built with performance in mind, RediSearch uses in-memory data structures and powerful indexing algorithms so customers can get virtually instant results on a wide variety of queries, from real-time transactional data to relevance-based search and analytical queries on their data.
“As customers increasingly rely on Redis Enterprise as their real-time data platform, they want to dynamically query and search their data residing in Redis. RediSearch now enables organisations to quickly build indexes which require low latency querying and full-text search. All of this is delivered with the familiar ease of scaling and speed of Redis,” said Pieter Cailliau, director of Product Management at Redis Labs.