Eclipse RDF4J
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VisitEclipse RDF4J vs TriplyDB
What both publish
| Fact | Eclipse RDF4J | TriplyDB |
|---|---|---|
| Developer tools | The RDF4J SDK bundles libraries, Server, Workbench, Console, and Javadoc API; the Workbench provides a web interface with a SPARQL editor. | Triply provides a JavaScript and TypeScript client and a command-line interface for working with TriplyDB. |
| Founded | 2015 | 2018 |
| Integrations | Documented compatible systems include GraphDB, Halyard, Stardog, Amazon Neptune, Blazegraph, Oracle RDF, MarkLogic, Strabon and Virtuoso. | TriplyDB.js is a JavaScript and TypeScript client for creating and loading datasets, managing services, running saved queries, and reading data. |
| Intended users | The site presents RDF4J as a framework for Java developers building applications with RDF, Linked Data, SPARQL endpoints, and Semantic Web data. | Triply describes TriplyDB as a tool for organizations seeking to consolidate fragmented data, enrich it into linked data, and derive insights for business operations. |
| Purpose | RDF4J is a modular Java framework for parsing, storing, querying, and reasoning over RDF data. | TriplyDB stores, shares, and serves linked data knowledge graphs through APIs. |
Eclipse RDF4J plans
- Eclipse RDF4JFree
TriplyDB plans
No prices published.
Pick Eclipse RDF4J if…
It suits Java developers building applications with RDF, Linked Data, SPARQL endpoints, or Semantic Web data. Consider its stated dataset focus and Java runtime requirement when choosing a store.
Pick TriplyDB if…
It suits public and private organizations building knowledge infrastructures from fragmented data, with control over APIs, access levels, hosting, and data exploration.