Is a graph-vector database.Analyze data connections in real time using a high-speed graph and vector storage
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 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.
Graph data operations
Operation and safety options
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