AllegroGraph
7.3#7 in graph databasesFree planFree planWebAPILinuxmacOS
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| Fact | AllegroGraph | NebulaGraph |
|---|---|---|
| Company headquarters | Franz Inc. is headquartered in Lafayette, California. | Vesoft says it is headquartered in Cupertino, California. |
| Company legal name | Crunchbase identifies the legal name as Franz Inc. | Crunchbase lists the legal name as Vesoft Inc and Nebula Graph as an alternate name. |
| Company size | LinkedIn lists Franz Inc. in the 11–50 employee size range. | Crunchbase lists Vesoft in the 101–250 employee range. |
| Deployment | The server runs natively on 64-bit Linux; Windows and macOS users can use hosted service, Docker, WSL or a Linux virtual machine. | The maker supports on-premises, public-cloud and hybrid deployment models. |
| Documentation depth | The documentation index covers administration, query languages, reasoning, security, replication, ETL/data integration and examples. | The documentation covers architecture, deployment, nGQL, clients, ecosystem tools, operations, FAQs and release notes, and the 3.8.0 manual was revised September 24, 2026. |
| Founded | 1984 | 2018 |
| Graph scale | The platform is designed to scale to billions of triples, quads and documents using disk storage and memory management. | NebulaGraph states that it can store and process graphs with trillions of edges and vertices. |
| Headquarters | Lafayette, California, USA | Cupertino, California, United States |
| Integrations | Documented integrations include MongoDB, Solr, Kubernetes, Docker, AWS and Azure marketplaces, plus Prometheus/Grafana monitoring. | Official ecosystem tools include Java, Python, C++, and Go clients plus Spark and Flink connectors. |
| Rating on G2 | 5 out of 5 from 3 eligible reviews; G2 says there are too few reviews for buying insight. | 5.0 out of 5 from 2 reviews |
It suits teams building knowledge graphs or integrating complex data, including the listed pharma, healthcare, supply-chain, and Customer 360 use cases. Its free edition may fit projects within the 5-million-triple limit.
NebulaGraph may suit teams working with connected data for applications such as recommendation engines, fraud detection, knowledge graphs, or network analysis. Its deployment choices also suit teams considering on-premises, cloud, or hybrid setups.