
Stardog
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| Fact | Stardog | Virtuoso Universal Server |
|---|---|---|
| Company headquarters | The current LinkedIn company profile lists headquarters in New York, New York, while Stardog’s own footer lists an Arlington, Virginia address. | LinkedIn lists OpenLink Software headquarters in Needham, Massachusetts, with 11–50 employees and a 1992 founding year. |
| Deployment | Stardog can run as a managed AWS cloud service, in customer cloud environments, or on premises through Docker, Kubernetes, AWS Marketplace, and Azure Marketplace. | The open-source edition provides installers for Linux, macOS, and Windows, Docker instructions, and source builds for those operating systems. |
| Documentation depth | Official documentation includes administration, querying, virtualization, inference, constraints, tutorials, API references, examples and application-building guidance. | Official documentation includes manuals and wiki material for Virtuoso, the open-source edition, the Virtuoso Authentication Layer, and Java provider APIs. |
| Founded | 2006 | 1992 |
| Inference | Its Inference Engine applies business rules at query time and exposes the logic behind results for explainability. | The product supports OWL/RDFS and SPIN reasoning and inference, including subclass, subproperty, sameAs, equivalent-class, and equivalent-property relationships. |
| License | Stardog Free is proprietary, licensed software and the pricing FAQ explicitly says it is not open source. | Virtuoso Open-Source Edition is licensed under GNU GPL version 2; commercial editions use proprietary licensing. |
| Rating on Capterra | 5.0 out of 5 from 7 reviews | 3.5 out of 5 from 2 reviews |
| Rating on G2 | 4.2 out of 5 from 18 reviews | 4.3 out of 5 from 4 reviews |
| Rating on GetApp | 5.0 out of 5 from 7 reviews | 3.5 out of 5 from 2 reviews |
| Rating on Software Advice | 5.0 out of 5 from 7 reviews | 3.5 out of 5 from 2 reviews |
Stardog suits organizations that need to unify data across cloud and on-premises sources for analytics, AI, search, or applications. It is also relevant to teams that need graph-based data modeling, standards-based querying, and deployment options spanning managed cloud and self-hosting.
You want what its maker publishes above — check its page for the details.