Performant and scalable
Scale up to 1 trillion triples; we’re also Kubernetes compatible and ACID-compliant
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
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.
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SpringerMaterials helps scientists conduct more effective research
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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.”
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See Analytics Modernization in action!
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Features
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
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WHITEPAPER
Analytics Modernization
Fully empowered data and analytics teams hold enormous promise to generate business growth. Analysts require quick and easy access to data across the enterprise regardless of which system or database. They also need an understanding of the business context in terms of the real-world complexity the data represents before they can turn it into actionable knowledge.
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CASE STUDY
Schneider Electric solutions transform IoT data into smart workplace decisions
Schneider Electric, the leader in digital transformation of energy management and automation, is partnering with Stardog to create future-ready buildings that are sustainable, resilient, hyper-efficient, and people-centric.
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BLOG
Upgrade your Analytics with a Knowledge Graph
Stardog has helped companies including Schneider Electric, Springer Nature and Ericsson to deliver new digital products with high service levels and user satisfaction. Free from dealing with cumbersome data repositories, these products are able to deliver innovative, user-friendly products that leverage previously untapped or underutilized data assets.
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