Gartner Cloud DBMS Report Names MarkLogic a Visionary

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

製造業の革新的な企業がMarkLogicのセマンティックを使ってどのようにデータをナレッジに変換しているのかをご紹介します。
Learn how innovative manufacturing organizations use MarkLogic Semantics to transform data into knowledge.
MarkLogic was named a Champion by Bloor Research in their newly released market comparison report on graph databases.
Find out how a trade data hub from MarkLogic helps financial services organizations modernize trade architectures to improve operational and financial performance.
In an ODH, semantics and RDF triples provide many capabilities with respect to managing data and the complexities of data integration. Find out how these help express interesting sets of data facts and relationships.
Get advice on when to use – or not use – graph models, and some tips for developers.
 
2018年版「アナリティクス向けデータ管理ソリューションマジック・クアドラント」1において、MarkLogicとグーグルの2社がビジョナリーに位置付けられました。ガートナーのこのマジック・クアドラントでビジョナリーに選ばれたのは、2年連続です。
 
In the 2018 Magic Quadrant for Data Management Solutions for Analytics1, MarkLogic and Google are the two companies positioned in the Visionaries quadrant of the Magic Quadrant. We see our positioning as a big validation of our vision of making data analytics and management central to the success of every enterprise around the world, and […]
In this follow-up post, we use social media to improve recommendations from the semantics recommendation engine.
MarkLogic's triple store allows us to use custom inferencing rules, consumer profiles and dynamic behavior to build a simple, foundational, semantic recommendation engine.
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