Graph Query Language
Several databases and graph platforms support GraphQL for graph-like data access, either natively or via mapping layers. Here are key offerings already to market as of 2025:
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- Dgraph: A native, distributed graph database with built-in GraphQL query syntax. Dgraph is designed from the ground up for GraphQL support, enabling direct query of graph data via GraphQL and is used in production by major companies. [7dviz9] [3pkpr7] Dgraph offers both open-source and hosted cloud options.
- PuppyGraph: While technically more a graph query engine than a pure graph database, PuppyGraph supports connections over popular graph query languages, including GraphQL (as well as Cypher and Gremlin). It allows querying relational data as graphs with GraphQL. [3pkpr7]
- StarfishETL: A platform supporting data integration and transformation, providing GraphQL APIs for interacting with graph-modeled data. [fuqqt5]
- Dgraph Cloud: Dgraph also offers a fully managed, hosted version of its database with GraphQL endpoint support for production environments. [7dviz9]
These products demonstrate that GraphQL, though initially intended for API layer orchestration, is now widely adopted as both a query interface and a core feature of modern graph and multi-model databases as of 2025. Some, like Dgraph, are true graph DBs directly exposing GraphQL; others use GraphQL to provide a graph-like API over different backends.
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