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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 providing the best way to bring together silos of data to provide customers a 360-degree view of their data. This is the second year in a row for MarkLogic to be named a Visionary by Gartner in this Magic Quadrant.

What makes us unique is really very simple, we insist on having the tools and technologies to enable enterprises to succeed by leveraging all of their data – not just the kind that fits nicely into rows and columns or predetermined schemas. And the key requirement for successful analytics deployments is to understand the context, history and lineage of the data and how to use the data to drive business decisions. In that arena, MarkLogic’s technological strengths in its modern multi-model database include:

Metadata. Metadata is the knowledge about the data. It’s the glue that harmonizes, links and adds context to data. Metadata describes not only the data itself, but how that data or content relates to other pieces of data and content. Without metadata capabilities, database technologies don’t deliver the full picture, which is what enterprises require to make the best decisions.

Semantics. Semantics focuses on relationships, which adds contextual meaning around data so it can be better understood, searched, shared and productively used. Semantic technologies overcome limitations to help companies and organizations understand all data as well as unlock insights, conduct analysis and build applications. Enterprises that don’t understand the relationships between data will miss opportunities, and will make mistaken assumptions. The same is true of enterprises who don’t fully know the context of data.

Security. MarkLogic is the only NoSQL player with enterprise hardened security to enable the safe sharing of data — a must have capability in data management and analytics. Our security sits where it is needed—at the data level—not at the perimeter of the network. Features like element level security, anonymization and advanced encryption make us an industry leader in data security and privacy.

In our hyper-connected economy, enterprises need and want others inside their networks to power greater collaboration, information sharing and to make the full and best use of all of the data that pours in not only from internal sources but from partners, social media and other places. Productively leveraging data requires both metadata and semantics and, ubiquitous access requires enterprises to secure the data at the data layer. They have to be able to control and restrict what data can be seen and shared and by whom to protect IP, meet regulatory requirements and prevent data breaches. Data level security makes that possible, as well as offering heightened protection against malicious or accidental insider threats and cyber criminals.

Enterprises also need vendors who satisfy and delight their customers, day after day and year after year. We believe that customers prefer doing business with MarkLogic over Oracle, Amazon, Microsoft and every other vendor because of our focus on what customers need to better succeed in an increasingly competitive world. As noted in a recent Gartner Peer Insights review from a director in the services industry, “Our overall experience with MarkLogic is very positive. Product and technical excellence, continuous innovation and outstanding professional and support services are the constant hallmarks of their delivery and partnership.”

Envisioning the Needs of Enterprises

Our vision, focus and features differentiates us from competitors and is right on the money. Organizations need to extract greater value from different data sources, whether structured or unstructured, to be more competitive, and to deliver better products and services.

This is not news to organizations. Unfortunately, we see that many of them have invested too much time and money in short-cut solutions that were never really solutions at all, or are clinging to legacy technologies that are impeding their own digital transformation.

That leaves us, MarkLogic, to envision the needs of enterprises for decades to come and define the future of database management systems.

1 Gartner, “Magic Quadrant for Data Management Solutions for Analytics,” Adam M. Ronthal, Roxane Edjlali, Rick Greenwald, 13 February 2018.

Gartner Disclaimers

Gartner unterstützt keine in seinen Publikationen genannten Anbieter, Produkte oder Dienstleistungen und rät Technologieanwendern nicht zur Auswahl der Anbieter mit der höchsten Bewertung bzw. einer sonstigen Bezeichnung.Die Research-Publikationen von Gartner geben die Meinungen des Research-Unternehmens von Gartner wieder und sollten nicht als verbindliche Aussagen ausgelegt werden.Gartner schließt alle ausdrücklichen oder implizierten Garantien in Bezug auf diese Research-Ergebnisse aus, einschließlich Garantien der Marktfähigkeit oder Eignung für einen bestimmten Zweck.

*Gartner Peer Insights Reviews spiegeln die subjektiven Meinungen und Erfahrungen einzelner Endanwender wider und repräsentieren nicht die Ansicht von Gartner oder Partnern von Gartner.

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