Search solution brief
Deliver Search & Analytics in Real Time
Query data, content, and documents using a variety of indexing, querying, and full-text search capabilities.
Redis real-time search supports fast indexing and ingestion. It’s engineered for performance using in-memory data structures implemented in C.
Scale out and partition indexes over several shards and nodes for greater speed and memory capacity.
Enjoy continued operations in any scenario with five-nines availability and Active-Active failover.
Search and Query has allowed us to make the online shopping experience for our customers absolutely seamless. Aggregate searches bring faster, more accurate results so that a customer finds exactly what they need right away. We were facing scalability issues before, but the secondary indexes that are utilized now with our dynamic product offerings mean we can create a convenient and effective buyer journey that keeps customers returning for the healthy and natural products that they have grown to love since our inception.
Ferry Wijaya
VP Engineering, Lemonilo
Redis Enterprise real-time search allows you to quickly create primary and secondary indexes on Hash and JSON datasets using an incremental indexing approach for fast index creation and deletion. The indexes let you query data at top speed, perform complex aggregations, filter by properties, numeric ranges as well as geographical distance.
Redis search supports full-text indexing and stemming-based query expansion in multiple languages. It provides a rich query language that can perform text searches, as well as complex structured queries. Furthermore, you can enrich search experiences by implementing auto-complete suggestions using ‘fuzzy’ searches.
Unlock the power of your data with Redis Enterprise real-time query and search engine