Calling upon his extensive executive experience at Oracle and Veritas, Gary Bloom leads MarkLogic as the preeminent NoSQL database for the enterprise. Throughout his 14-year tenure as a senior Oracle executive, Gary helped organizations make the generational shift from mainframe to relational technology – the perfect experience to enable him to assist organizations today in the transformation from relational to next-generation database technology.

As a highly respected thought leader, Gary influences organizations across industries to reimagine how data can be used to drive competitive advantage and change the future of business and application development. Likewise, as CEO of MarkLogic, he is spearheading solutions to solve the global challenge of aggregating and managing data from disparate sources and transforming it into valuable information.

Gary earned a Bachelors in Computer Science from California Polytechnic State University San Luis Obispo.

Recent Blog Posts

October 25, 2018
As the database market experiences a disruptive wave, driven by changing market and enterprise needs, we’re thrilled to announce our position on the latest Gartner Magic Quadrant for Operational Database Management Systems.
February 16, 2018
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 the new Gartner 2017 Magic Quadrant for Operational Database Management Systems (ODMS), MarkLogic is recognized as a Challenger, achieving the highest placement in the Challenger quadrant for ability to execute and furthest for completeness of vision.
 
Sie erfahren, welche Fallstricke sich bei der Entscheidung für einen Claud beachten sollten. Wie z. B. die Verhandelbarkeit der Preise, welches Know-how verlieren Sie, wie einfach ist der Wechsel zu einem andern Cloud Anbieter etc.
現在、そして将来の課題は従来からのソリューションであるリレーショナルデータベースでは解決できないことがますます明らかになっています。またHadoopでも不十分です。なぜでしょうか。
Evidence continues to build that today’s data challenges – and tomorrow’s – will not be solved with yesterday’s solutions – traditional relational databases. And Hadoop is not enough. Find out why.
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