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Business Insights | Company

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.

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Architect Insights

Using the UML-to-Entity Services Toolkit for UML Modeling with Data Hub and Semantics

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.

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Optic Engine Deep Dive (3 of 5): Diagnosing Performance Problems

Understand and diagnose performance problems in MarkLogic SQL, SPARQL, and Optic API queries. Find and analyze logging and trace output for query optimization and execution. Part 3 of a 5-part deep dive into MarkLogic’s Optic Engine.

Resource Utilization in MarkLogic Data Hub

Ever wondered what’s going on with system resource utilization beneath the hood? Learn how the different components of the Data Hub Framework use system resources like RAM, CPU, and IOPS, and how to think about your application for capacity planning purposes. Even better, use the DHS so you don’t have to worry about it!

MarkLogic Data Hub Performance Optimization

While the core tenets of MarkLogic performance remain the same when building a Data Hub, there are some recurrent patterns and themes in resource consumption observed in customer production deployments. In this session, you will learn about common resource bottlenecks to look out for, design considerations when building a high-performance Data Hub, and methods for […]