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InterSystems Positioned in the Challengers Quadrant of the Gartner Magic Quadrant for Cloud Database Management Systems

Gartner

Summary

Gartner Magic Quadrant for Cloud Database Management Systems (DBMS) - 2021
Magic Quadrant for Cloud Database Management Systems Source: Gartner (December, 2021)

InterSystems, a creative data technology provider dedicated to helping customers solve the most critical scalability, interoperability, and speed problems, has been named a Challenger in the Gartner Magic Quadrant for Cloud Database Management Systems (DBMS).

InterSystems IRIS® exceeds requirements for multicloud, intercloud and hybrid deployment, high-speed processing and ingest, and distributed data access. InterSystems IRIS is available on all major public cloud marketplaces, including Amazon Web Services, Microsoft Azure, Google Cloud Platform, and private cloud, and has been deployed across the globe.

InterSystems IRIS position recognizes the solution’s support for advanced analytics, due to its strength in embedded analytics, ML and AI. InterSystems IRIS Adaptive Analytics capabilities provide business users with superior ease of use and self-service analytics capabilities to visualize, analyze, and interrogate live data from multiple sources in a consistent format.

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*Gartner, Magic Quadrant for Cloud Database Management Systems for Analytical Use Cases,” Rick Greenwald, Merv Adrian, Adam Ronthal, Philip Russom, Henry Cook, 14 December 2021.

**This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from InterSystems.

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Disclaimer: Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

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