Unleash your analytics

Modernize your data platform with the knowledge graph built to empower data and analytics teams to connect any type of data, uncover impactful insights and speed time to market.

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Conventional graph or relational data architectures lack the access, context, and inferencing required to meet the grueling demands for innovating and monetizing advanced analytic solutions. They are constrained by architectural limitations for highly scalable, discovery-style analysis in relation to business problems. Stardog’s Enterprise Knowledge Graph makes it easy to connect, contextualize and discover new insights from any data source and structure so teams can deliver better, faster, and lower-cost analytic solutions to their customers.

Improve access

Our certified connectors enable easy access to the full breadth of unified data. And with enterprise-grade data virtualization, you can access data without moving or copying it and share any combination of virtualized or persisted data through knowledge graph, empowering data and analytics teams to operate with greater efficiency and at lower cost.

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Learn how to modernize your analytics with a knowledge graph

Uncover insights

Unlike the rigidity of relational or conventional graph database structures, our flexible semantic data layer enables you to endlessly link and network the complex relationships contained within your data platform and other sources without changing the underlying data, enriching the semantic meaning of the data. And our best-in-class inference engine and built-in machine learning easily interprets the data and uncovers new relationships and patterns in an easy to explain way, reducing time to insight.

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How a financial publisher is reimagining the news

Search and query

Semantic search enables you to search your data platform by meaning, scanning the knowledge graph to uncover all layers of connections across the search terms, ensuring that no results are left out. Using a concise syntax and powerful, standards-based graph query language, SPARQL, you can answer complex analytic questions from your data platform. This empowers data and analytics teams to act faster than ever.

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SpringerMaterials helps scientists conduct more effective research

  • Quote

    You can build a SQL table and keep it all up to date if you want to do that; but by putting it in the graph, you’re not managing schemas, you’re not normalizing data — you’re saving time.

    Mark Reid, Director of R&D, Cloud & Mobile Services, Digital Buildings, Schneider Electric
  • See Analytics Modernization in action!

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Performant and scalable

Scale up to 1 trillion triples; we’re also Kubernetes compatible and ACID-compliant

Data quality management

Use Data Quality Constraints to find inconsistencies across your data silos and flag conflicts to data producers


Stardog is built on open W3C standards designed to facilitate interoperability and exchange of data

Robust security

Assign permissions by user profile, restrict access to datasets with Named Graphs, and authenticate users for secure access