Adeptia Positioned in 2019 Gartner Magic Quadrant for Data Integration Platforms
Gartner Positions Adeptia as a Leading Challenger Seventh Year in a Row
CHICAGO, Nov 15, 2019 - Adeptia today announced that Gartner, the world’s leading research and advisory company, has positioned Adeptia as a challenger in its 2019 Magic Quadrant for Data Integration Tools.
“The positioning comes as a validation of trailblazing innovation and the supreme value our data integration platform has been delivering to customers for nearly two decades”, said Deepak Singh, President and CTO, Adeptia. “Our solution fits different architectures and delivers value rapidly by simplifying data integration activities through both intuitive self-service for business users and machine learning driven data mapping”.
Adeptia’s data integration platform enables organizations to augment data exchange and streamline data management by:
Enabling easy self-service data integration
Accelerating integration with powerful, AI-driven data mapping
Supporting a wide variety of data formats, applications, databases, and repositories for data integration
Interoperating with application integration technology in a single solution architecture
Supporting data integration across cloud, hybrid cloud and on-premises environments
With additional features or capabilities such as large-file streaming and ingestion, personalized interfaces, and role-based security, Adeptia offers exciting opportunities to accelerate business transformation and onboarding across a broad spectrum of enterprise customers and partners.
Adeptia provides integration solutions that help companies more rapidly onboard customers and suppliers into multi-enterprise business data ecosystems. Mid- and large-sized firms around the globe use Adeptia’s Data Integration and Enterprise Application Integration (EAI) to securely enable their partners to self-serve, onboard, and manage digital business integration, resulting in delighted customers and faster revenue. Go to https://adeptia.com/ for more info.