Data-as-a-Service

A foundation for data-driven operations

Stardog solves the problems brittle data integration platforms can’t. Deploy a knowledge graph to provide data-as-a-service.

Data integration platforms impose rigid access patterns on enterprise data. This fixed structure doesn’t hold up to changing requirements, new data streams, or agile development timelines. On the other hand, Stardog offers flexibility by using a logical data model to allow multiple views on the same data.

Maintain multiple data definitions

Allow data producers to maintain their data definitions; Stardog harmonizes conflicting data definitions without changing or copying the underlying data. Associate related terms through the logical data model — the extensible model easily incorporates new definitions.

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BNY Mellon keeps pace with regulations and reporting

Support countless use cases with the same data

From satisfying reporting requirements to supporting application development teams, Stardog allows for different interpretations of the same data. Each additional use case deploys faster, taking advantage of prior data modeling. The low-code centralized data model dramatically cuts down project-specific data preparation and stitch code.

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IDB improves findability of research across the bank

Get more out of legacy systems

You don’t need to copy your data into Stardog to use it. Access existing data sources remotely using virtualization whether data lives on-prem or in the cloud. Choose to materialize or virtualize based on what’s best for your data, keeping sensitive data safe and promoting cloud scalability when beneficial. Use virtualization to seamlessly support projects on your hybrid cloud journey.

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    From an agility perspective, we saw dramatic benefit — a time-to-result improvement of, easily, 50% or more”

    Managing Director, Enterprise Infrastructure, Top 10 US Bank

Features

Performant and scalable

Scale to 50 billion data points on a High Availability Cluster; 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