NebulaGraph Enterprise

Vesoft, the team behind NebulaGraph, was founded in Cupertino, California in October 2018 by engineers with backgrounds at Meta, Ant Group and X. It develops a distributed graph database for large-scale connected data such as fraud, recommendation and knowledge graph workloads.

NebulaGraph is offered as a database, an Analytics engine, a managed Cloud service and an AI application platform. The site claims graphs above 100 TB with billions of edges, millisecond latency at high concurrency, 99.999% availability and 50+ graph algorithms, running natively on Kubernetes. Snap is the named customer. Enterprise V5.3 added built-in algorithms, SubGraph, multi-tenancy and a Dry Run mode.

• NebulaGraph Database: distributed graph store with GQL support.
• NebulaGraph Analytics: scalable graph computing with 50+ algorithms.
• NebulaGraph Cloud: fully managed service with a 14-day free trial.
• Hybrid retrieval: embedded vector search and graph-vector-text retrieval added in V5.1 and V5.2.
• Operations: multi-tenancy, online replica changes and Dry Run mode in V5.3.
• GraphRAG: AI application platform for knowledge-graph retrieval.

• A Vietnamese bank or e-wallet detecting linked-account fraud across millions of transactions.
• An e-commerce platform generating product and friend recommendations from relationship graphs.
• A manufacturer mapping multi-tier supplier relationships for supply chain risk.

• Distributed architecture targets very large graphs without a single-node ceiling.
• 14-day free trial of the Cloud service with no credit card lowers evaluation friction.
• Native Kubernetes support fits multi-cloud infrastructure.
• Graph, vector and text hybrid retrieval supports GraphRAG use cases alongside classic graph queries.

Graph databases are converging with vector search and LLMs through GraphRAG, and the ISO GQL standard is pushing vendors toward a common query language. Fraud detection, recommendation and supply chain visibility remain core graph workloads. Vietnamese banks, e-commerce and logistics operators with large relationship data can use distributed graphs to scale these analyses.

Vesoft, founded October 2018 in Cupertino, California. Recognised as a representative vendor in the Gartner Market Guide (August 2023). Enterprise releases V5.0 (2024-11), V5.1 (2025-05), V5.2 (2025-11) and V5.3 (2026-06).