
ArcadeDB
8.3#1 in graph databasesFrom $19.99 a monthFree planWebAPILinuxmacOS
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| Fact | ArcadeDB | NebulaGraph |
|---|---|---|
| Deployment | ArcadeDB can run embedded in Java applications or as a standalone server and can be installed using Docker, a GitHub binary, Maven, or Kubernetes. | The maker supports on-premises, public-cloud and hybrid deployment models. |
| Documentation depth | The documentation includes fundamentals, SQL, graph queries, vector/RAG, migration courses, API references and operations guides. | 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. |
| Headquarters | London, United Kingdom | Cupertino, California, United States |
| License | ArcadeDB is distributed under the Apache License 2.0 and the maker states that all features remain under that license. | The core NebulaGraph repository is licensed under Apache 2.0, allowing modification, deployment and commercial SaaS use. |
| Query languages | The product supports SQL, OpenCypher/Cypher 25, Gremlin, GraphQL, MongoDB query language and a native Java API. | NebulaGraph supports nGQL, openCypher compatibility, and native ISO-GQL support in Enterprise v5.0. |
| Rating on G2 | 5.0 out of 5 from 1 review | 5.0 out of 5 from 2 reviews |
| Security | The maker describes a persistent write-ahead journal and automatic rollback of uncommitted transactions after a server crash. | NebulaGraph Cloud provides Private Link for private network access and role-based access control for graph-space permissions. |
| Security controls | Official security documentation describes Basic and token authentication, PBKDF2-HMAC-SHA256 password hashing, TLS options, database permissions and query limits. | The edition comparison lists transmission encryption, user and role management, graph-space permissions, node-edge permissions, attribute permissions and audit logs. |
It suits developers who need several data models in one database or need graph, document, vector, and time-series capabilities together. Teams wanting support with stated response targets can consider the paid subscriptions.
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.