Microsoft Named a Leader in Gartner Magic Quadrant

Microsoft recognized as a Leader in 2023 Gartner® Magic Quadrant™ for Data Integration Tools

This featured blog from Microsoft proudly announces Microsoft's continued recognition as a leader in Gartner Magic Quadrant for Data Integration Tools. 

In the ever-evolving landscape of technology, data has emerged as essential fuel for the organization, driving decision-making processes and powering innovation. However, the real challenge lies not just in collecting vast amounts of data, but in making sense of it.

Enter data integration—the unsung hero that weaves disparate data sources into a harmonious tapestry that, empowers businesses to gather meaningful insights. In this dynamic realm, Microsoft has emerged as a data integration trailblazer, offering a suite of powerful tools and solutions designed to seamlessly connect, transform, and leverage data for organizations worldwide.

We are thrilled to share that, for the third year in a row, Gartner has positioned Microsoft as a Leader in the 2023 Gartner® Magic Quadrant™ for Data Integration Tools. At the heart of Microsoft’s data integration arsenal lies Azure Data Factory, and this same essential technology is available in the new Microsoft Fabric.

Unify your on prem and multi-cloud data estate to unlock value from all your data with the data integration experience in Fabric, which combines the ease of use of Power Query with the scale and power of Azure Data Factory. Recently reaching general availability (GA), Microsoft Fabric shows our commitment to our customers to deliver cutting-edge data and analytics technologies in the era of AI.

Gartner, a company that delivers actionable, objective insights to executives and their teams, evaluates data integration solutions based on a set of criteria that measure the features and performance of various tools and platforms, ranging from data integration capabilities; connectivity; security and compliance; monitoring and management; support and community; cost, innovation, and roadmap; customer satisfaction; and more. Organizations can use these evaluations to make informed decisions when selecting a data integration solution that aligns with their business needs and objectives.

Source: Gartner (Dec 2023)

Microsoft services for data integration

Data integration is of paramount importance in today’s data-driven world, influencing the efficiency, accuracy, and strategic decision-making capabilities of organizations across various industries. Microsoft continues to empower our customers with powerful data integration tools, including:

Azure Data Factory is a part of Microsoft’s broader ecosystem of data and analytics services within Azure, providing organizations with a scalable and flexible solution for their data integration needs in the cloud. It enables organizations to create, schedule, and manage data pipelines that can move data between supported on-premises and cloud-based data stores. Azure Data Factory plays a critical role in modern data architectures, facilitating the seamless flow of data for analytics, reporting, and business intelligence purposes.

Key components of Azure Data Factory include data integration pipelines and data flows for code-free transformations at scale. The experience provides users with sophisticated control flow and orchestration capability to author robust data integration tasks that operate over large amounts of data. Hundreds of connectors enable data-source-specific integration with Azure Data Factory and Power Query.

Power Query is a data transformation and data preparation engine that delivers an approachable user experience with self-service and enterprise-ready connectors to hundreds of data sources, from cloud to on-premises. Power Query enables business analysts to handle data preparation tasks on their own for workloads across Power Platform, Dynamics 365, and Microsoft Excel.

Data integration in the era of AI

In this ever-accelerating age of AI, data integration plays a crucial role in facilitating the seamless flow of information and ensuring that the data required for AI applications is accessible, accurate, and relevant. The integration of AI technologies introduces new considerations and opportunities for optimizing data integration processes. Microsoft proved to be adaptive to market needs and pioneered a new vision to unify data and enable AI scenarios with Microsoft Fabric.

Reaching GA at Ignite in November, Fabric takes data integration forward into the era of AI with capabilities like Azure Data Factory and Power Query fused into a single experience along with AI-enhanced productivity through Copilots. Data Factory in Fabric empowers you with a modern data integration experience to ingest, prepare, and transform data from a rich set of data sources (for example, databases, data warehouses, lakehouses, real-time data, and more). Whether you are a citizen or professional developer, you’ll be able to integrate data with intelligent transformations and leverage a rich set of capabilities.

As an all-in-one analytics solution for enterprises, Fabric covers everything from data movement to data science, real-time analytics to business intelligence. It offers a comprehensive suite of services, including data lake, data engineering, and data integration, all in one place. With Fabric, you don’t need to piece together different services from multiple vendors. Instead, you can enjoy a highly integrated, end-to-end, and easy-to-use product, designed to meet all your analytics needs.

Learn more


Gartner Magic Quadrant for Data Integration Tools, Ehtisham Zaidi, Robert Thanaraj, Sharat Menon, Thornton Craig, Roxane Edjlali, Michele Launi, 4 December 2023.

Gartner is a registered trademark and service mark and Magic Quadrant is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.

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. Available here.

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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