RediSearch 2.0 enables customers to build modern apps with interactive search experiences

2021-02-22 01:45

Redis Lab announced the release of RediSearch 2.0, which enables customers to build modern applications with interactive search experiences.

RediSearch represents one of the fastest-growing capabilities Redis Labs customers are adopting because of its powerful indexing, querying, full-text search, and other supported use cases across various deployments-on-premises, cloud, multi-cloud, and hybrid cloud.

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.

Developers can run "Fuzzy" searches to implement autocomplete search experiences.

"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 organizations to quickly build indexes which require low latency querying and full-text search."

"GoMechanic needed a fast data layer to search across 10 million spare parts and power its customer service chats. RediSearch on Google Cloud was not only four times faster than our existing database but also extremely robust, easy to scale, and inexpensive," said Prasenjit Singh, Vice President of Engineering at GoMechanic.

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