Gartner Cloud DBMS Report Names MarkLogic a Visionary

London – November 26, 2018 – MarkLogic Corporation, the leading operational and transactional Enterprise NoSQL database provider, is today celebrating winning the award for Big Data Security Product of the Year at the 2018 Computing Security Excellence Awards.

Computing Magazine’s Security Excellence Awards celebrate the achievements of the IT industry’s leading security companies, solutions, products and personalities – those keeping every other part of the industry operating.

An independent panel of judges selected MarkLogic as being the outstanding entry in the Big Data Security Product of the Year, for the ability of its NoSQL database to integrate siloed data into one central database where it can be easily and securely accessed. MarkLogic was also a finalist in two other categories – Enterprise Security and Security Woman of the Year – with Jen Shorten, Technical Delivery Architect, EMEA, MarkLogic’s nomination in the latter.

MarkLogic® has outstanding security credentials as the only NoSQL database to be awarded Common Criteria Certification. The Common Criteria for Information Technology Security Evaluation (or “Common Criteria”) is an international standard for security by which vendors demonstrate their commitment and ability to provide security to their customers.

MarkLogic was also recently recognised as a Challenger in Gartner’s 2018 Magic Quadrant for Operational Database Management Systems, the third consecutive year the company has been recognised as a Challenger.

For the full list of all winners in the 2018 Computing Security Excellence Awards, visit: Computing Security Excellence Awards

Computing Security Excellence Award Logo


About MarkLogic

MarkLogic helps customers create value from complex data faster. Our platform ingests data from any source, creating and refining metadata to support powerful models. Customers use these models for deep search and query, building enterprise applications and bringing unique insights to analytics and machine learning.

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