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NebulaGraph vs TuringDB

TuringDB

6.7#13 in graph databasesFree plan
Free planWebAPILinuxSelf-hosted
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What both publish

FactNebulaGraphTuringDB
DeploymentThe 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.
HeadquartersCupertino, California, United StatesThe maker lists Turing Biosystems Ltd. in London and Lyon.
IntegrationsOfficial 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.

NebulaGraph plans

  • Open-source EditionFree
  • NebulaGraph Cloud StandardPriced on request
  • NebulaGraph Cloud ProfessionalPriced on request
  • Enterprise EditionPriced on request

TuringDB plans

  • CommunityFree
  • EnterprisePriced on request
  • CustomPriced 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 TuringDB if…

TuringDB may suit developers and organizations working with connected data, including the industries its maker highlights. Its deployment options include self-hosting, on-premise and air-gapped use, or embedding through Python.

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