Blog

Everything From Data Tips and NoSQL Best Practices to Industry Specific Insights

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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Comparison

リレーショナルの視点から見たMarkLogic：パート1

マルチモデルのMarkLogicプラットフォームを他の技術と比較して見ていくとともに、MarkLogicが複雑なデータ統合に最適なソリューションである理由を説明します。

Rusty and Shinny Gears Working Together.

Comparison

MarkLogic from a Relational Perspective: Part 1

Learn how the multi-model MarkLogic platform compares to other technologies, and why it’s the best solution for complex data integration.

Business Insights

Banks Need Non-Relational Data Solutions to Transform and Compete

Banks investing in non-relational data store solutions like MarkLogic NoSQL to address legacy concerns related to poor data and disparate risk and control processes.

Architect Insights

Scaling Your Database Doesn’t Have to be Hard

Is it beneficial to move complex queries out of the database and into service logic because it's way easier to scale services horizontally?

Comparison

MarkLogic and NoSQL

I’ve been itching to write up a post about the noSQL (“not only SQL”) category of technologies because there’s such a dearth of practical and specific information on this topic, and because so many people are unclear about how MarkLogic compares to these technologies.