Gartner has recognized MarkLogic as a Visionary in the Magic Quadrant for Cloud Database Management Systems. Our VP of Strategy Chuck Hollis explains what being a “visionary” means – to us and our customers.
In this third post of the series, we examine modeling for a mixed document/semantic database and demonstrate how to use UML modeling with MarkLogic's Data Hub Framework.
Discover how a leading biopharmaceutical company created an extensible cloud-based data platform to enable more real-time access to data from across the enterprise.
IT strains to heave together data from multiple data stores to present a 360 view. Find out how multi-model databases help you integrate data from across your organization — in a seamless and elegant way.
In this session, we'll disuss what makes MarkLogic's multi-model approach unique—providing a great overview for those new to MarkLogic that will help frame the other technology breakouts.
In this session, we'll review how the World Bank is using MarkLogic's schema-agnostic, multi-model database and search capabilities to flexibly and iteratively harmonize data across the organization.
This talk will lay out the most important reasons to simplify your architecture and discuss how to find the best balance between simplicity and functionality.
Damon Feldman looks at two paths of multi-model database engineering: a single platform that allows many models on one core, versus complex integrations where many systems are pre-packaged. Which is better for you?
MarkLogic erweitert ModelDR um eine flexible, agile Datenbank-Plattform. Dank seines Schema-on-Read-Ansatzes können viele Herausforderungen im Zusammenhang mit der Aggregation mehrerer Datenmodelle in einem einzigen Operational Data Store vermieden werden.