Stardog = Inference + Semantic Graph + Virtualization 

Create a highly reusable network of knowledge to power countless applications, AI initiatives and analytics with Stardog. Explore unique combination of graph, virtualization, and inference that makes our Enterprise Knowledge Graph platform the most powerful and cost-effective solution on the market.

Connect and query data of any structure with mature semantic-graph capabilities 

Stardog represents data from structured, semi-structured, and unstructured sources in graph to create a uniform data layer, enriched with the full context of data from every source. Unlike Marklogic's non-native graph functionality, Stardog helps you answer complex questions from any data stored anywhere.

Our platform extends beyond simple graph-based integration,  so you can query across relational databases, NoSQL databases, documents, and even geospatial data—seamlessly.

Virtualization for performance, cost-savings and scalability

Say goodbye to long, costly data preparation and migration processes. Stardog was the first to market with powerful graph-based virtualization, giving you unprecedented flexibility to investigate deep connections across data sources without copying that data into Stardog. This ensures you always access up-to-date data, unlike in Marklogic.

Choose to materialize or virtualize based on what’s best for your data, performance, and cost requirements and access any data, whether on-prem or in the cloud. 

Inference Engine to power collaboration between stakeholders

Unlike Marklogic that has no inference capabilities, Stardog’s Inference Engine associates related data stored in disparate sources, and uses this rich web of relationships to discover new relationships. The resulting network of knowledge becomes greatly more valuable across business units.

The Inference Engine also supports multi-tenancy schemas, the ability to represent multiple definitions for the same data, making collaboration between teams or expressing situational or theoretical truth easier than ever. 

Data quality management for quicker troubleshooting

Stardog offers tools to validate and enforce data integrity (namely SHACL), which Marklogic does not support. Constraints find inconsistencies across data silos, flag conflicting data, or prevent the Knowledge Graph from accessing bad data.

Constraints also support measuring the quality of the data, performing verification after an integration, and assisting in planning future improvement measures.The functionality is also highly explainable — taking you right to the rule that makes the data false for troubleshooting.

Bring machine learning to your data instead of bringing data to your machine learning

Never train models on incomplete, out-of-date, or inaccurate data again. Stardog ships with built-in predictive analytics and similarity search for quicker model development and iteration.

Use similarity search to recommend articles based on user inputs, fill in gaps in data lineage, or find new chemical compounds similar to a known compound. Use our machine learning to predict the value of a relationship or combine with  Pathfinder to solve tricky operational issues like determining an alternate supply route on the fly.

Stardog is built for your mission-critical applications

Stardog Cloud

Connected Enterprises Care about Meaning, Not Data

Enterprises are struggling with the consequences of flawed decision-making caused by irrelevant, incomplete, and inconsistent data. The move to multicloud and hybrid cloud environments further complicates this situation. Stardog Cloud offers a new way forward.