Tarantool
Graph DB
Is a graph-vector database.Analyze data connections in real time using a high-speed graph and vector storage
Business tasks solved
by Tarantool Graph DB
Reduce fraud risks during financial operations
Tarantool Graph DB-based solution: Scoring and anti-fraud systems based on the analysis of connections and interactions between people
Increase client loyalty and reduce customer churn
Tarantool Graph DB-based solution: Personalized recommendations and customer churn predictions based on analysis of the clients’ behavior and preferences
Reduce logistics and transport infrastructure management costs
Tarantool Graph DB-based solution: Optimal routes based on supply chain analysis
What is a graph
database?
Graph databases are used to analyze complex relationships between objects.
Data in graph DBMSs is represented as nodes and edges between the nodes. Here, nodes are entities or objects, and edges are relationships and connections between these objects. Graph databases allow you to effectively model complex data structures, including social and semantic networks, geographic maps, relationships between bank clients, etc.
As a rule, graph databases work in conjunction with ML models. Databases provide quick access to big data and parallel processing capabilities. It helps ML models build predictions faster and improves their accuracy.
Tarantool Graph DB
architecture
Tarantool Graph DB works with graph and vector data, integrating with business applications via HTTP and the openCypher API. It provides scaling tools such as clustering, replication, and sharding.
Tarantool Graph DB Capabilities
Benefits of Tarantool Graph DB
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