InterSystems Emerges As Challenger In Gartner’s 2023 Magic Quadrant For Cloud Database Management Systems

InterSystems, a forefront provider of cutting-edge software for enterprise digital transformations, has secured its position as a Challenger in Gartner’s Magic Quadrant for Cloud Database Management Systems (DBMS). Recognized for both its completeness of vision and ability to execute, this marks the third consecutive acknowledgment for InterSystems in this esteemed report.

InterSystems’ IRIS data platform serves as the linchpin that seamlessly transforms diverse data sets into a unified, comprehensive view. This capability empowers customers across critical sectors such as healthcare, financial services, and supply chain management to achieve superior outcomes.

Distinguished by its unique smart data fabric approach, InterSystems delivers high-performance multi-model and multi-workload database management, along with smart data services, interoperability, and analytics capabilities.

In the evaluation of 19 vendors for managed cloud database systems, InterSystems stood out as a Challenger, reflecting its commitment to challenging conventional norms, fostering innovation, and presenting distinctive solutions to the market.

Gartner’s Magic Quadrant reports are renowned for their meticulous, fact-based research in specific markets, providing a comprehensive perspective on the relative positions of providers.

The four quadrants—Leaders, Challengers, Visionaries, and Niche Players—help stakeholders gauge the prowess and differentiation of providers in high-growth markets.

Head of Data Platforms at InterSystems, Scott Gnau, expressed his satisfaction with the Challenger placement, stating, “The Challenger placement validates our commitment to innovation and focus on delivering value to our customers.

InterSystems’ inclusion as the sole Challenger in the Gartner Magic Quadrant demonstrates our success in pushing the boundaries of what’s possible in cloud database management and helping organisations integrate, process, and analyse their data in the cloud.”

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