NebulaGraph
8.1#2 in graph databasesFree planFree planWebAPILinuxmacOS
VisitNebulaGraph vs TigerGraph
TigerGraph
6.9#12 in graph databases$45 usage-basedFree planWebAPILinuxSelf-hosted
VisitWhat both publish
| Fact | NebulaGraph | TigerGraph |
|---|---|---|
| Deployment | The maker supports on-premises, public-cloud and hybrid deployment models. | Self-managed TigerGraph can be installed directly on Linux or as a Docker image; Enterprise Edition also supports clusters through Kubernetes. |
| Founded | 2018 | 2012 |
| Headquarters | Cupertino, California, United States | Milpitas, California, United States |
| Integrations | Official ecosystem tools include Java, Python, C++, and Go clients plus Spark and Flink connectors. | Connectors include Kafka, Amazon S3, Azure Blob Storage, Google Cloud Storage, Snowflake, BigQuery, PostgreSQL, Spark, Delta Lake, Iceberg, and Hudi. |
| Query languages | NebulaGraph supports nGQL, openCypher compatibility, and native ISO-GQL support in Enterprise v5.0. | TigerGraph editions list GSQL, OpenCypher, and GSQL pattern matching as graph query languages. |
| Security | NebulaGraph Cloud provides Private Link for private network access and role-based access control for graph-space permissions. | TigerGraph documents TLS encryption, SAML 2.0 SSO, LDAP authentication, role-based access control, privileged-action audit logs, and encryption at rest. |
NebulaGraph plans
- Open-source EditionFree
- NebulaGraph Cloud StandardPriced on request
- NebulaGraph Cloud ProfessionalPriced on request
- Enterprise EditionPriced on request
TigerGraph plans
- Savanna Free TrialFree
- TigerGraph CommunityFree
- Savanna$45 a month
- Savanna Business Critical$126 a month
- TigerGraph EnterprisePriced on request
Pick NebulaGraph if…
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.
Pick TigerGraph if…
TigerGraph may suit teams working with connected data that need graph analytics, vector search, or self-managed deployment. The Community Edition's single-server and storage limits are relevant for smaller evaluation needs.