Fast graph processing powered by linear algebra and matrix multiplication
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.
Watch the RedisGraph Launch and Demo at Redis Day London
Fastest graph database with small memory footprint
Process complex graph operation in real time, 10x - 600x faster than any other Graph database while reducing memory consumption by more than 60%
Ease of use
An alternative to any Cypher-based graph database that doesn't require changes to application code
Integrated graph and search
Graph queries, powered by RediSearch, allow exploring relationships between objects for valuable insights from the graph dataset
Customize experiences by providing relevant content instantly, based on user preferences, trends, and interactions
Get a real-time 360° view of your customer to create instant and relevant experiences
Search for single or multiple words or phrases and execute full-text and linguistic queries in real time
RediGraph Sizing Calculator
Size your RediGraph deployment according to your specific requirements.
Powered by GraphBLAS engine
GraphBLAS defines standard building blocks for graph algorithms in linear algebra. Co-sponsored by Redis Labs, the SuiteSparse open source library executes graph traversal in the most optimal way.
Sparse adjacency matrices
Reduce the amount of memory required to store large graphs of connected data, with state-of-the-art sparse matrices.
Instantly translates the industry-standard Cypher query language for graph queries into linear algebraic expressions.