Showing 12 of 12 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).
A Scala wrapper for Apache TinkerPop 3 providing a type-safe DSL for graph traversals.
An Elixir driver for Neo4j using the high-performance Bolt protocol, supporting standalone servers and causal clusters.
A specialized database for social interactions (likes, views, follows) that precomputes data at write time for real-time, high-scale reads.
JavaScript libraries for graph processing in Node.js and browsers, inspired by Apache TinkerPop.
An Elixir driver for Neo4j graph database using its REST API, compatible with Neo4j 2.x/3.0.x/3.1.x servers.
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