The Apache Software Foundation (ASF) has shared that Apache HugeGraph has successfully made it through. The incubation process is now a Top-Level Project. This achievement shows the strength of the platform’s features in areas of graph databases, AI synergy, and handling massive data. HugeGraph offers full-stack solutions that merge storage, computing, and analytics. It manages hundreds of billions of graph elements while keeping the query response times to just a few milliseconds. The system is able to handle a wide range of query types & is tightly coupled. With other Apache projects such as Flink, Spark, and SeaTunnel. Its usage covers security, social networking, and AI-based applications.
“Becoming an Apache Top-Level Project represents a major milestone for HugeGraph,” said Jermy Li, Apache HugeGraph PMC Chair. “In the age of LLMs, graph technology has become essential infrastructure, especially for improving model accuracy, explainability, and contextual memory. HugeGraph focuses on connecting data with intelligence. With our open, full-stack platform spanning storage, computing, & Graph RAG capabilities, we help enterprises unlock deeper insights from large-scale datasets. As we enter this new phase, we will continue advancing the integration of Graph and AI. Offering developers worldwide a more powerful and intelligent foundation.”
Growing Momentum for Graph and AI
ASF mentors and guides open source projects to develop strong, vibrant communities. The evolution of HugeGraph illustrates perfectly how working together. By business, academic, and open source developers from all over the world, a very successful combination. By achieving Top-Level Project status, Apache HugeGraph has, beyond doubt. Strengthened its position in the open source ecosystem and set a new standard for graph-based AI solutions. It is a great launchpad for companies to embark on the journey of smart data applications and innovation.
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News Source: GlobeNewswire.com
