Databases
hugegraph
apache/hugegraph
Apache HugeGraph is a high-performance, scalable graph database for billions of vertices and edges, supporting Gremlin and Cypher queries over REST APIs in standalone or distributed deployments.
Topics
Related projects
neo4j17.4kA leading graph database that models data as nodes and relationships, offering the Cypher query language, ACID transactions, and enterprise-grade features.
nebula12.5kNebulaGraph is a distributed, horizontally scalable graph database with millisecond latency and Raft-based consistency, suited for knowledge graphs, recommendations, and risk analysis.
Raphtory653Raphtory is a scalable temporal graph analytics database written in Rust with Python APIs. It runs embedded or as a GraphQL server and supports time travel, full-text search, multilayer modeling, and built-in graph algorithms.
gun19.2kA decentralized graph-data sync protocol with a tiny embedded engine for realtime P2P, offline-first storage, and end-to-end encrypted apps.
arangodb14.3kA native multi-model database supporting document, graph, and key-value models with the AQL query language, transactions, and horizontal scalability.
trino13.5kTrino is a fast distributed SQL query engine for big-data analytics, letting you query many heterogeneous data sources with standard SQL across a scalable cluster.