A flexible, future-proof solution for your enterprise 

FEATURE

STARDOG

Graph DB

Platform-wide virtualization for greater scalability 

Stardog was the first to market with graph-based virtualization and have the the most mature, enterprise-ready virtualization.  This means you’re always using the most current version of data without undergoing an expensive ETL process. Stardog offers virtualization in all use cases ensuring scalability and reusability. 

Just-in-time reasoning capability

Forward-chaining reasoning is less flexible, more time-consuming, and riskier than Stardog’s just-in-time reasoning. We inference at QUERY time, meaning you’re using the most up-to-date data. Plus, we allow you to reason over virtualized data, so you never need to migrate or copy data in order to connect and understand what it means. 

Multi-tenancy schemas for collaboration 

Our reasoning method also allows for multi-tenancy schemas. This means you can have multiple different views represented in the same Knowledge Graph.

More expressivity

We support all OWL profiles. Stardog has the fullest support for the W3C reasoning standards in the market, making it possible for users to encode more expressivity in their models.

Better data quality management

Stardog offers tools to validate and enforce data integrity; namely SHACL. While some platforms may offer the same constraint functionality, our constraints are explainable. This means we take you right to the rule that makes the data invalid, so it’s easier to troubleshoot. Plus, our constraints can operate across virtual sources.

Mature BI/SQL support

Put your unified data in the hands of more analysts with Stardog’s new BI/SQL server, which provides a straightforward connection to SQL-based Business Intelligence (BI) platforms like Tableau and Power BI. Our BI/SQL server provides broader access for subject matter experts and citizen data scientists to investigate their data. We were the first to market with this capability that is enhanced by our top-of-line virtualization. 

Stardog ETL

Having the flexibility to either access your enterprise data in place as a Virtual Graph or to load some portion of that data into Stardog’s graph database (or a combination of the two) is a key differentiator for Stardog. We are happy to announce a new feature that enhances the latter option with the release of Stardog Nifi support in v7.4. With NiFi integration, the process for transforming and mapping all your data sources to the Knowledge Graph are in one ecosystem - an ecosystem that is scalable, reliable, and reduces the number of different technologies that must be managed.

Integrated machine-learning

Stardog brings machine learning to your data instead of forcing you to bring data to your machine learning. Stardog’s embedded machine learning allows data scientists to access the full breadth of unified data — structured, semi-structured, and unstructured. Machine learning serves as a complement to the Inference Engine’s logical reasoning, which together provide a suite of reasoning capabilities that expose the full value of your connected data. 

Semi-structured (non-tabular) data support

Stardog supports semi-structured (non-tabular) data sources like MongoDb and Cassandra. We created Stardog Mapping Syntax (SMS) to extend mappings to these data sources. Unlike other platforms you can both materialize and virtualize your semistructured data with Stardog.