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RedisGraph is based on a unique approach and architecture that translates Cypher queries to matrix operations executed over a GraphBLAS engine. This new design allows use cases like social graph operation, fraud detection, and real-time recommendation to be executed 10x – 600x faster than any other graph database.
Fastest graph database
Process complex graph operations in
real time, 10x – 600x faster than any other graph database.
Ease of use
Query graphs using the industry-standard Cypher query language and easily use graph capabilities from application code.
Integrated visualization
Show how your data is connected through multiple visualization integrations including RedisInsight, Linkurious, and Graphileon.
Size your RedisGraph deployment according to your specific requirements.
Recommendations
Rapidly find connections between your customers and the experiences they want by examining the relationships between them.
Graph-aided search
Search for single or multiple words or
phrases and execute full-text and linguistic queries in real time over your graph.
Identity and access management
Define complex resources access permissions as a graph and enable rapid real-time verification of these permissions with a single query.
RedisInsight supports RedisGraph and allows you to:
• Build and execute queries
• Navigate your graphs
• Browse, analyze, and export results
As benefits, you get faster turnarounds when building your RedisGears scripts.
GraphBLAS engine graph database
GraphBLAS defines standard building blocks for graph algorithms in linear algebra. Co-sponsored by Redis, the SuiteSparse open source library executes graph traversal in the most optimal way.
Sparse adjacency matrices
Reduces the amount of memory required to store large graphs of connected data, using state-of-the-art sparse matrices.
Cypher query
Instantly translates the industry-standard Cypher query language for graph queries into linear algebraic expressions.
Start today for free with Redis Enterprise Cloud Essentials
Download Redis Enterprise 6.2