According to Gartner, data sharing is a necessity for speeding up a digital business. Managing data and creating insights is no longer enough to keep companies ahead of the curve for digital businesses. Now more than ever, inter-enterprise data sharing is becoming essential for all types of companies. Read on to learn more about inter-enterprise data sharing and to gain access to an overview of the Gartner Magic Quadrant for Data Integration Tools.
What is Inter-Enterprise Data Sharing?
Inter-enterprise master data management or data sharing was a novelty until recently. For many years, companies were in the practice of hoarding data for their benefit. However, perceptions have changed when it comes to the benefits that data sharing can provide for all types of corporations.
This change in perception has come from several expert analysts, researchers, and Fortune 500 companies that have realized the real-world benefits that come when data sharing is utilized.
According to Gartner Senior Director Analyst Lydia Clougherty Jones, “Data sharing is the way to optimize higher-relevant data, generating more robust data and analytics to solve business challenges and meet enterprise goals.”
Discover more about the benefits of data sharing and the importance of data integration tools in that process relayed through an overview on the Gartner Magic Quadrant for Data Integration Tools below.
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An Overview on Inter-Enterprise Data Sharing
In the Gartner Magic Quadrant for Data Integration Tools article, leading analysts outlined the future of inter-enterprise master data management and the role certain technology corporations and their set of data integration tools have in this future.
In their study, Gartner analyzed and grouped 20 technology corporations based on the data integration tools they provide and the corporation’s vision when it comes to inter-enterprise master data management.
Classifications in the Gartner Magic Quadrant for Data Integrations Tools
The Gartner analysts grouped the 20 technology corporations into one of four classifications. The four classifications included:
Leaders
The tech corporations who found themselves in the Leaders Classification are front-runners in their capability to support the combination of different delivery styles available on the market today. This includes the ability to combine or switch between ETL, replication, and virtualization-based on the demand. Tech Corporations in the Leaders Classification are also adept at providing tools that support both hybrid integration and multi-cloud integration options. Overall, the Leaders allow organizations they work with to remain independent in data integration while also allowing them to provision cloud ecosystems.
Challengers
The tech corporations who found themselves in the Challengers Classification are now making strides to provide more than the traditional bulk/batch delivery style by incorporating replication, streaming, or data virtualization capabilities. Those in the Challenger Classification also generally have a substantial customer base and established a presence in the industry. The Challengers are recognized as being able to scale to support most data integration use cases if called upon to do so. Ultimately, the goal of Challengers should be to make the necessary changes to be moved into the Leaders Classification during the next study.
Visionaries
The tech corporations who found themselves in the Visionaries Classification are those corporations who demonstrate a strong understanding of emerging technology and business trends. Those in the Visionaries Classification have also focused on perfecting alternative strategies such as augmented data integration through the data fabric design, serverless integration tooling, seamless orchestration of various data integration components, and more. Those in the Visionaries Classification also may lack the ability to provide a comprehensive set of product capabilities as they have decided to focus on a single data integration style. Overall, Visionaries are mostly established corporations but have only recently emphasized perfecting or incorporating data integration tools into their platform.
Niche Players
The tech corporations who found themselves in the Niche Players Classification often have a strong offering for a very specific range of data integration problems. The Niche Players often show an advantage in pricing, their small footprint, and in vertical and horizontal solutions. Ultimately, Niche Players are often used to complement other technology as their offering is not fully supported.
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The Classification of 20 Technology Corporations
In the Gartner Magic Quadrant for Data Integration Tools article, the following technology corporations found themselves placed in these classifications:
Leaders:
Challengers:
Visionaries:
Niche Players:
Ultimately, the biggest takeaway from this brief overview of the Gartner Magic Quadrant for Data Integration Tools study is that in recent years more and more data and analytics leaders have come to realize that data integration is a critical component of their data management infrastructure. As time progresses, more and more technology corporations will come to realize the importance of inter-enterprise master data management or data sharing and the role of data integration tools in this process.
Related Reading: How Do Data Pipelines Fit Into Your Data Stack?
How Integrate.io Can Help
If you’ve been looking for the perfect data pipeline that helps work to unite all your data sources within a single centralized data warehouse, Integrate.io is the perfect solution. Integrate.io is the platform that provides a fully managed, automated solution for building secure data pipelines.
Are you ready to see what benefits the Integrate.io platform and its ETL pipelines can provide to your company? Contact our team today to schedule a 14-day demo or pilot and see how we can help you reach your goals.