Apache HugeGraph is a high-performance, scalable graph database designed for handling billions of vertices and edges, targeting developers and data scientists working with large-scale graph data. It offers robust OLTP capabilities and compliance with the Apache TinkerPop 3 framework, enabling complex queries via Gremlin and Cypher.

How It Works

HugeGraph leverages a pluggable backend store framework, currently supporting RocksDB and HBase, with historical support for others like MySQL, PostgreSQL, and Cassandra. It adheres to the Apache TinkerPop 3 standard, allowing for powerful graph traversals using Gremlin and supporting Cypher. The system includes schema metadata management for vertices, edges, and properties, along with multi-type indexing for efficient querying.

Quick Start & Requirements

• Docker: docker run -itd --name=graph -p 8080:8080 hugegraph/hugegraph:1.5.0 (optional flags for auth and preloading available).
• Prerequisites: Docker recommended for testing. Production use requires enabling the AuthSystem.
• Documentation: Project Docs

Highlighted Details

• Supports over 100 billion vertices and edges.
• Compliant with Apache TinkerPop 3, supporting Gremlin and Cypher.
• Pluggable backend store framework (RocksDB, HBase).
• Integrates with Flink, Spark, HDFS, and offers graph computing, visualization, and AI components.

Maintenance & Community

• Active Apache Software Foundation project.
• Community engagement via GitHub Issues and a developer mailing list (dev@hugegraph.apache.org).
• WeChat public account available.

Licensing & Compatibility

• Licensed under Apache 2.0.
• Permissive license suitable for commercial use and integration with closed-source applications.

Limitations & Caveats

The Docker image is a convenience release, not an official distribution artifact. Production deployments require explicit configuration of the AuthSystem for security.