Showing 7 of 7 projects
A distributed, fast open-source graph database for large-scale data with horizontal scalability and high availability.
An open-source, distributed graph database optimized for storing and querying large graphs with billions of vertices and edges.
A PostgreSQL extension that adds graph database capabilities, enabling hybrid relational and graph querying with openCypher.
A transactional, relational-graph-vector database that uses Datalog for query, designed as the hippocampus for AI.
Embedded property graph database optimized for speed with built-in vector search, full-text search, and Cypher query language.
A fast, highly-scalable graph database supporting over 10 billion vertices and edges with OLTP capabilities and dual Gremlin/Cypher query language support.
A graph computing framework providing the Gremlin query language and tools for both graph databases (OLTP) and graph analytic systems (OLAP).
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