NebulaGraph

Vesoft Inc., the developer of NebulaGraph, was established in October 2018 by a team of industry veterans with backgrounds at major technology firms like Meta (Facebook), Ant Group, and Twitter. The company, founded by CEO Sherman Ye, was created to address the challenges of managing and analyzing immense, interconnected datasets. Vesoft secured an $8 million pre-A funding round in June 2020, followed by a $10 million pre-A+ round in December 2020, and a Series A round in the tens of millions in September 2022.

The firm's core product is NebulaGraph, an open-source distributed graph database designed for handling extremely large-scale graphs with billions of vertices and trillions of edges while maintaining millisecond latency. Its architecture is distributed and shared-nothing, which allows for horizontal scalability and high availability, eliminating single points of failure and enabling fast recoveries. The database is built to serve organizations with massive datasets, empowering data scientists, CTOs, and CIOs to uncover complex relationships within their data. Clients range from startups to large enterprises, including well-known brands like Tencent, WeChat, Meituan, and JD Digits.

NebulaGraph generates revenue through a business model that includes both open-source and enterprise editions, as well as a cloud-based service offering a pay-as-you-go model. The platform includes a suite of tools such as NebulaGraph Studio for data visualization and exploration, and it utilizes nGQL, a proprietary query language similar to SQL, designed to simplify graph queries. It is also compatible with openCypher. The system supports flexible deployment options, including on-premises, public cloud, and hybrid environments. Use cases for NebulaGraph are extensive, spanning real-time recommendations, fraud detection, financial risk control, knowledge graphs, and network security.

Keywords: graph database, distributed database, open source, big data analytics, data visualization, Vesoft, Sherman Ye, nGQL, data modeling, real-time analytics, fraud detection, recommendation engines, knowledge graph, network security, high availability, scalable database, cloud database, enterprise software, data infrastructure, connected data