Analytics modernization

Unleash your analytics

Connect fragmented data and give teams faster access to trusted insights, shared business context, and AI-ready analytics across the enterprise.

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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.

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.

Search and query

Stardog 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.

Features

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

Standards-based

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

Learn how to use your existing stack with Stardog to build a knowledge graph-powered semantic layer

See how Stardog builds shared meaning and trusted context across your existing stack, connecting data from MDM, data integration, data catalogs, warehouses, and graph databases for analytics and AI enablement.