HASH vs LinkedDataHub
HASH
hash.aiLinkedDataHub
atomgraph.github.ioSide by side
| Figure | HASH | LinkedDataHub |
|---|---|---|
| Price from | $20/mo | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 4 | 2 |
| Spec score · Knowledge Graph Software | 8.6 (#6) | 8.8 (#5) |
| Founded | 2019 | 2011 |
| Headquarters | London, Berlin and New York | Lithuania |
| Integrations | The published integration directory includes services such as Slack, Google Drive, Gmail, Notion, GitHub, SAP S/4HANA, Snowflake, and Postgres. | LinkedDataHub uses Apache Jena Fuseki by default and can work with SPARQL 1.1-compatible triplestores that support SPARQL Query, SPARQL Update, and Graph Store Protocol. |
| Purpose | The platform supports analytics, workflow automation, what-if simulations, AI agents, and fine-grained access governance using its organizational model. | LinkedDataHub is an open-source, low-code platform for managing data, creating visualizations, and building apps on RDF knowledge graphs. |
| Self-hosting | HASH can be self-hosted, but its guide says this requires technical knowledge and recommends it for advanced users. | Deployment uses Docker and Docker Compose, with local, on-premises and cloud options documented. |
| Support | The download page directs users to contact support or consult the user guide for help. | The documentation lists a mailing list, issue reporting, and support contact as support channels. |
Plans
In their own words
HASH
HASH is an open-source platform that models an organization with a knowledge graph and a process graph. The continuously updated model supports analytics, workflow automation, what-if simulations, AI agents, and detailed access governance. HASH can ingest connected applications and structured data, infer entities from unstructured material, and passively collect selected web information. Its bitemporal graph records transaction time and decision time, letting users inspect earlier states and provenance without overwriting records. Flows combine triggers, actions, filters, and waits and can run manually, automatically, or programmatically. Agents can answer questions and take actions. Integrations include Slack, Google Drive, Gmail, Notion, GitHub, SAP S/4HANA, Snowflake, and Postgres. Two-way synchronization is available where supported; some services allow only read-only sync or one-time imports. A browser extension can collect selected browsing information, let agents access sites for users, and launch flows. HASH is offered through web, API, browser extension, or self-hosted deployment. The free plan includes 10GB storage and 50 entities per manual scraping job. Plus starts at $20 a month when billed annually.
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.