A fast, highly-scalable graph database supporting over 10 billion vertices and edges with OLTP capabilities and dual Gremlin/Cypher query language support.
Apache HugeGraph is a fast, highly-scalable graph database that supports storing and querying billions of vertices and edges. It solves the problem of managing massive interconnected datasets by providing robust OLTP capabilities, seamless integration with big data tools, and support for both Gremlin and Cypher query languages.
Developers and data engineers building applications that require complex relationship analysis, such as social networks, recommendation systems, fraud detection, and knowledge graphs. It's also suitable for organizations needing a scalable, self-hosted graph database for production environments.
Developers choose HugeGraph for its massive scalability, dual query language support, and comprehensive ecosystem. Its pluggable backend architecture and seamless integration with big data frameworks like Flink and Spark provide flexibility and performance for large-scale graph processing.
A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends)
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Supports over 10 billion vertices and edges with horizontal scaling, making it ideal for production deployments handling massive interconnected datasets.
Offers compatibility with both Gremlin (via Apache TinkerPop 3) and Cypher (OpenCypher), providing flexibility for developers using different graph query standards.
Seamlessly integrates with Flink, Spark, and HDFS, enabling complex graph analytics within existing big data pipelines as highlighted in the README.
Includes tools like Loader for data import, Dashboard for visualization, and Computer for graph computing, offering a full suite for graph management and analysis.
Distributed deployment requires setting up and managing a Raft-based cluster with separate PD and Store components, increasing operational complexity beyond simple setups.
Legacy storage backends like MySQL, PostgreSQL, and Cassandra are only supported in versions ≤1.5.0, limiting options for users relying on these databases.
Docker images are provided as convenience releases and not as official ASF distribution artifacts, which may not meet strict compliance requirements for some enterprises.