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GraphScope NeuG vs NebulaGraph

What both publish

FactGraphScope NeuGNebulaGraph
DeploymentNeuG can run embedded in an application or expose the same engine as a service.The maker supports on-premises, public-cloud and hybrid deployment models.
Graph algorithmsThe site describes graph algorithms for analyzing influence, communities, and patterns, and links to a Graph Data Science extension.NebulaGraph advertises more than 50 graph algorithms and separate analytics capabilities.
IntegrationsNeuG documents data exchange with Apache Arrow, Parquet, S3, and Alibaba Cloud OSS.Official ecosystem tools include Java, Python, C++, and Go clients plus Spark and Flink connectors.
LicenseNeuG is released under the Apache License 2.0.The core NebulaGraph repository is licensed under Apache 2.0, allowing modification, deployment and commercial SaaS use.
Query languageNeuG supports Cypher queries for traversing and filtering graph data.The open-source repository describes an OpenCypher-compatible language, while the current product pages advertise native ISO-GQL support.
SecurityThe Web UI runs on localhost by default, and the documentation recommends firewall rules and a reverse proxy for public or production access.NebulaGraph Cloud provides Private Link for private network access and role-based access control for graph-space permissions.

GraphScope NeuG plans

No prices published.

NebulaGraph plans

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

Pick GraphScope NeuG if…

You want what its maker publishes above — check its page for the details.

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.

Charts they share