HugeGraph
A fast, highly-scalable graph database supporting over 10 billion vertices and edges with OLTP capabilities and dual Gremlin/Cypher query language support.
What is HugeGraph?
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.
Overview
A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends)
Use Cases
Best For
- Building recommendation systems that analyze user-item relationships at scale
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