NebulaGraph vs TuringDB
NebulaGraph
nebula-graph.ioTuringDB
turingdb.aiSide by side
| Figure | NebulaGraph | TuringDB |
|---|---|---|
| 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 | 3 |
| Spec score · Graph Databases | 8.5 (#7) | 7.4 (#28) |
| Deployment | The maker supports on-premises, public-cloud and hybrid deployment models. | TuringDB can be self-hosted as a server, deployed on-premise or air-gapped, or embedded and driven from Python. |
| Headquarters | Cupertino, California, United States | The maker lists Turing Biosystems Ltd. in London and Lyon. |
| Integrations | Official ecosystem tools include Java, Python, C++, and Go clients plus Spark and Flink connectors. | The documentation lists JSONL, CSV, Neo4j, GML, and Parquet as data import formats, and the product includes a Python SDK. |
| Support | NebulaGraph Cloud lets customers create work orders from the dashboard for assistance from a technical support specialist. | The Enterprise plan includes dedicated support and integrations. |
| Vector search | The current database product includes native vector search for graph and unstructured-data workflows. | Vector search is built into the engine. |
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.