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We are announcing that Microsoft has been named a Leader in the 2021 Gartner Magic Quadrant for Data Integration Tools. We believe this recognition reflects our continued commitment to delivering comprehensive and cost-effective data integration solutions, including both code-first and low- or no-code tooling for on-premises, hybrid, and cloud workloads.

Data integration is an essential component of our customers’ end-to-end analytics strategy. To understand and act upon data, companies must first be able to pull that data together and prepare it for analysis in a central, secure environment. As a result, reliable data pipelines are the foundation of a trusted analytics solution. By leveraging Microsoft’s data integration tooling to combine disparate data sources, automate processes, and manage their data estates, our customers set the stage to deliver value to their teams through clear and actionable insights.

The Gartner Magic Quadrant for Data Integration Tools evaluated companies on a range of use cases across data engineering, cloud migration, and operational data integration tasks.

A Magic Quadrant image for Data Integration Tools showing Microsoft under the leader category on the top right side of the image.

A comprehensive and cost-effective solution

Microsoft’s data integration tooling focuses on delivering a comprehensive set of relevant capabilities while managing ease of use and total cost of ownership. We believe this makes it possible for customers to be more productive across use cases such as low or no-code ETL, data migration, enterprise business workflows, and metadata management.

Further, we seek to provide a broad set of resources to support customers, including community collaboration, trainings, and a wide range of third-party options for learning best practices around deployment.

The combination of relevant features, managed costs, and ample support resources ensure customers have access to both the technology and the technical knowledge necessary to successfully address their data integration requirements.

The future of cloud analytics

As data management grows more and more complex, we believe the future of analytics lies in a continuum where data integration occurs in the same environment as data lake management, data warehousing, and machine learning projects. This streamlines collaboration, simplifies compliance and security, and accelerates time to insight. In pursuit of these goals, Microsoft has invested in incorporating our data integration capabilities into a unified analytics platform: Azure Synapse Analytics.

Azure Synapse Analytics makes it possible to ingest, explore, prepare, transform, manage, and serve data for business intelligence and machine learning in a centralized, secure environment. This means customers can accomplish any analytics workload from a single workspace, eliminating data barriers and traditional siloes that can stall progress and reduce impact.

Azure Synapse delivers limitless scale and unmatched security as it unites the worlds of data integration, enterprise data warehousing, and big data analytics. As a result, customers can spend less time on data management and more time on identifying and acting on data insights.

Next steps

To learn more about how Microsoft’s approach to data integration can create value for your company, explore these resources:

Gartner, Magic Quadrant for Data Integration Tools, August 25, 2021, Ehtisham Zaidi and others.

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 Microsoft. GARTNER and Magic Quadrant are registered trademarks and service mark of Gartner, Inc. and its affiliates in the United States and internationally and are used herein with permission. All rights reserved. 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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