NebulaGraph Completes Series A to Scale Its Distributed Graph Database

NebulaGraph, an open source database created by Hangzhou, China-based company Vesoft, announced it has raised an undisclosed amount totaling tens of millions of dollars in a Series A funding round.

The company touts its graph database as a distributed, high-availability architecture designed for scalability and fast recovery that is ideal for production environments. NebulaGraph says it can handle ultra-large datasets with trillions of edges and features instant event data stream processing, giving it an advantage for transactional integrity and operational availability. NebulaGraph consists of three services: a graph service, a storage service, and a meta service, and is open source under the Apache 2.0 license.

NebulaGraph uses the storage engine RocksDB and says it delivers highly concurrent access, fast graph traversals, and efficient use of memory. The database is also horizontally scalable, allowing users to add nodes or services to the cluster without changing the configuration of existing nodes. The database supports several programming languages including C++, Python, and Node.js. NebulaGraph databases can also be cloud deployed on Microsoft Azure, AWS, and Google Cloud, and the company says it can be deployed within minutes without tedious installation, optimization, and maintenance.

NebulaGraph also has a snapshot data restoration feature: users can take snapshots of a NebulaGraph instance at any point in time to enable data recovery without data loss. According to the company website, if an instance fails, NebulaGraph will first remove this instance from the cluster and then create a new one based on the snapshot to replace the failed instance in a fully automatic and transparent process.

The company says its database is ideal for DevOps users, data architects, or data scientists. For DevOps users, it features a visualized graph database and cluster management tools with enterprise-grade security and scaling abilities. Data architects may be interested in its integrations with popular languages and tools, low latency and high throughput, and its open source Apache 2.0 license. For data scientists, the platform uses a SQL-like query language, visualized data import tools, connections to GraphX and Flink, and graph exploration tools.

NebulaGraph’s distributed architecture features a graph service, a storage service, and a meta service. Source: NebulaGraph

The latest Series A round was led by Jeneration Capital, with participation from previous investors Matrix Partner China, Redpoint China Ventures, and Source Code Capital. China Renaissance served as the exclusive financial advisor in this financing round. With these new funds, the company plans to accelerate global expansion efforts and strengthen its R&D with a focus on product performance. Current NebularGraph customers include Tencent, Meituan, JD Digits, and Kuaishou.

NebulaGraph joined the Linked Data Benchmark Council as an organizational member earlier this year. According to a press release, the company joined the council to participate in developing graph industry standards and specifications, especially the creation and popularization of Graph Query Language (GQL), which is a forthcoming International Standard Language for property graph querying.

Sherman Ye, the founder and CEO of NebulaGraph said, “Thanks to the in-depth understanding of industrial scenarios, the transformative value of our products, and the surging demand in graph technology, NebulaGraph is well-positioned to capture future growth opportunities.”

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