RediSearch is a powerful indexing, querying, and full-text search engine for Redis, available on-premises and as a managed service in the cloud.
Unified Search and analytics
Query data, content, and documents using a variety of indexing, querying, and full-text search capabilities.
Built with performance in mind using in-memory data structures implemented in C, RediSearch supports fast indexing and ingestion.
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.
GoMechanic needed a fast data layer to search across 10 million spare parts and power our 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.
Vice President of Engineering, GoMechanic
RediSearch 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.
RediSearch’s Enterprise and Enterprise Cloud offering lets you effortlessly scale RediSearch across an entire cluster, allowing you to grow your indexes to billions of documents on hundreds of servers.
Search across website, app, or workplace content. Increase engagement with fast, relevant results that are refreshed in real-time—even on frequently updated data.
An always up-to-date inventory can improve the retail experience for your customers, as well as increase the effectiveness of all inventory-related operations.
External database indexing
Build relationships between records and perform sophisticated aggregate searches with secondary indexes, while still keeping your raw data in external databases.
Customer service and insights
Provide customer support and client service teams with immediate access to relevant information across a variety of data sources.
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