Dgraph vs NebulaGraph
Dgraph
dgraph.io
NebulaGraph
nebula-graph.ioSide by side
| Figure | Dgraph | NebulaGraph |
|---|---|---|
| Price from | — | Free |
| Free plan | — | 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 | 0 | 4 |
| Spec score · Graph Databases | 7.8 (#18) | 8.5 (#7) |
| Founded | 2015 | 2018 |
| Query language | DQL supports graph queries, mutations, filtering, indexes, and reverse relationship traversals. | The open-source repository describes an OpenCypher-compatible language, while the current product pages advertise native ISO-GQL support. |
| Security controls | GraphQL requests can use access tokens, admin or client keys, and JWT authentication when authorization is configured. | The edition comparison lists transmission encryption, user and role management, graph-space permissions, node-edge permissions, attribute permissions and audit logs. |
| Support | The quickstart directs users to the Hypermode Discord for questions, issues, feature requests, and discussions. | NebulaGraph Cloud lets customers create work orders from the dashboard for assistance from a technical support specialist. |
| Use cases | Dgraph is described as being most commonly used to build knowledge graphs. | The maker presents fraud detection, recommendations, knowledge graphs, supply-chain management, master-data management and generative AI as target applications. |
| Vector search | Yes | The current database product includes native vector search for graph and unstructured-data workflows. |
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.