GraphDB vs NebulaGraph
GraphDB
graphdb.ontotext.com
NebulaGraph
nebula-graph.ioSide by side
| Figure | GraphDB | NebulaGraph |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 4 |
| Spec score · Graph Databases | 8.1 (#13) | 8.5 (#7) |
| Deployment | GraphDB can run as a desktop or standalone server application and is also available on AWS and Azure. | The maker supports on-premises, public-cloud and hybrid deployment models. |
| Headquarters | The company privacy policy lists ONTOTEXT AD, doing business as Graphwise, with headquarters in Sofia, Bulgaria. | Cupertino, California, United States |
| Security | GraphDB documents role and access controls, local, LDAP and OAuth user databases, Basic, GDB, OpenID and Kerberos authentication, SSL/TLS encryption in transit, and security auditing. | NebulaGraph Cloud provides Private Link for private network access and role-based access control for graph-space permissions. |
| Support | The edition comparison lists community support for Free and SLA support for Enterprise. | NebulaGraph Cloud lets customers create work orders from the dashboard for assistance from a technical support specialist. |
Plans
NebulaGraph
- Open-source EditionFree
- NebulaGraph Cloud StandardPriced on request
- NebulaGraph Cloud ProfessionalPriced on request
- Enterprise EditionPriced on request
In their own words
GraphDB
GraphDB is an RDF and SPARQL semantic graph database for storing data and performing inferencing in the Graphwise AI Platform. It supports SPARQL 1.1, RDF4J compatibility, RDFS and OWL 2 RL and QL rulesets, federated queries, and RDF-star. Its real-time forward-chaining reasoning operates across datasets, and the product page describes native GraphRAG and LangChain integration. GraphDB can run as a desktop or standalone server application, be self-hosted, or be deployed on AWS and Azure; downloads are listed for Windows, macOS, Linux, and a platform-independent distribution. The Free edition includes a Lucene connector, one parallel query, and up to five repositories; GraphDB 11 and later requires a free license. Enterprise supports multiple cores, unlimited repositories, high-availability clustering, and connectors for Elasticsearch, OpenSearch, Solr, and Kafka. Free is on-premise only with community support. Enterprise includes SLA support and is licensed per server CPU core, with each cluster node licensed separately. Free costs nothing; Enterprise pricing is on request.
NebulaGraph
NebulaGraph is a distributed graph database for storing and querying complex connected data. It is designed for scalability and millisecond responses to complex queries; the project says it can store and process graphs with trillions of edges and vertices. It supports nGQL and openCypher compatibility, while native ISO-GQL is supported in Enterprise v5.0. Native vector search combines graph structures with unstructured data. Deployment options include on-premises, public cloud, and hybrid environments, and NebulaGraph Cloud can deploy clusters on Azure, AWS, and Google Cloud Platform. Developers can use Java, Python, C++, and Go clients, plus Spark and Flink connectors. NebulaGraph Studio is a web-based tool for schema creation, data import, query writing, and graph exploration. Cloud features include Private Link, role-based graph-space permissions, Raft-based redundant backups across server rooms in the same city, and point-in-time snapshots. The open-source edition is free under Apache 2.0; a 14-day Cloud trial includes one instance with 2 vCPUs, 4 GB RAM, and 10 GB storage without payment information.