InfoLibrarian Knowledge Graph Engine vs LinkedDataHub
InfoLibrarian Knowledge Graph Engine
infolibcorp.comLinkedDataHub
atomgraph.github.ioSide by side
| Figure | InfoLibrarian Knowledge Graph Engine | LinkedDataHub |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | — | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 2 |
| Spec score · Knowledge Graph Software | 7.5 (#23) | 8.8 (#5) |
| Founded | 2005 | 2011 |
| Headquarters | Sarasota, Florida, USA | Lithuania |
| Intended users | The maker describes the best fit as teams with accumulated document sprawl that need reliable agent context or a data-product foundation, starting with one subject area. | The product page presents use cases for researchers and data scientists, developers and data publishers, and AI agents and their builders. |
| Purpose | The engine turns structured and unstructured enterprise metadata into a governed knowledge graph for retrievable, traceable, measurable context. | LinkedDataHub is an open-source, low-code platform for managing data, creating visualizations, and building apps on RDF knowledge graphs. |
Plans
InfoLibrarian Knowledge Graph Engine
- Platform IP licensePriced on request
In their own words
InfoLibrarian Knowledge Graph Engine
InfoLibrarian Knowledge Graph Engine has no write-up on Specifiction yet; its figures are above.
LinkedDataHub
LinkedDataHub is an open-source, low-code platform for managing data, creating visualizations, and building applications on RDF knowledge graphs. It can also operate as an RDF-native content management platform. The interface includes UI components, SPARQL templates for creating and editing content, and SPIN and SHACL constraints for validating incoming data. CSV and RDF imports are supported, with SPARQL CONSTRUCT used for mapping or transformation. Authentication supports WebID and OpenID Connect with Google and ORCID. WAC permissions cover read, write, append, and control access. Git-backed document history is available through Memento. The platform exposes a SPARQL endpoint and read-write Linked Data API, serving documents as HTML or RDF from the same URIs. It uses Apache Jena Fuseki by default, supports compatible SPARQL 1.1 triplestores, and runs locally with Docker Compose. The project is self-hosted under Apache 2.0.