NebulaGraph vs TerminusDB
NebulaGraph
nebula-graph.ioTerminusDB
terminusdb.orgSide by side
| Figure | NebulaGraph | TerminusDB |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 4 | 1 |
| Spec score · Graph Databases | 8.5 (#7) | 7.4 (#26) |
| Deployment | The maker supports on-premises, public-cloud and hybrid deployment models. | The quickstart runs TerminusDB in Docker, and the documentation also describes building from source on Linux or macOS and running it on Kubernetes. |
| Integrations | Official ecosystem tools include Java, Python, C++, and Go clients plus Spark and Flink connectors. | Its GraphQL interface works with Apollo, urql, Relay, and other GraphQL clients; official client libraries are available for TypeScript/JavaScript and Python, with Rust also documented. |
| Security | NebulaGraph Cloud provides Private Link for private network access and role-based access control for graph-space permissions. | TerminusDB provides role-based access control using users, roles, capabilities, and resource scopes. |
| Support | NebulaGraph Cloud lets customers create work orders from the dashboard for assistance from a technical support specialist. | The official site directs users to the TerminusDB community on Discord and to GitHub for other ways to connect. |
Plans
NebulaGraph
- Open-source EditionFree
- NebulaGraph Cloud StandardPriced on request
- NebulaGraph Cloud ProfessionalPriced on request
- Enterprise EditionPriced on request
In their own words
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.
TerminusDB
TerminusDB is a free, open-source document graph database for JSON documents stored in a schema-enforced graph. It adds Git-like version control for data, including branching, diffing, merging, cloning, synchronization, and time travel. Commits are ACID transactions, and every write receives schema validation. Developers can use the HTTP document API, GraphQL, or WOQL, a Datalog-based query language. GraphQL works with Apollo, urql, Relay, and other clients; official libraries cover TypeScript/JavaScript and Python, with Rust documented. Role-based access control uses users, roles, capabilities, and resource scopes. Deployment documentation covers Docker, Linux or macOS source builds, and Kubernetes. DFRNT provides cloud hosting instances, while community support is available through Discord and GitHub. TerminusDB supports ontology modeling, semantic reasoning, graph visualization, and imports from CSV, JSON, JSON-LD, RDF/XML, and Turtle. It does not support RDF/SPARQL.