![]() ![]() With significant investments in a variety of data fabric enabling technologies, it is apparent that the company values its augmented data integration and active metadata services. Holding strong to the top spot in the Leader Quadrant, Informatica doesn’t appear to be sitting complacent at all. With these category definitions in mind, below are the results comparing last year’s Magic Quadrant to this year’s final results.Īlthough the three main vendors remain consistent in the Leaders Quadrant from 2019 to 2020, some of the technologies and tools have evolved over the course of the past year. Niche Players: Specialists who are often hyper-focused in a limited number of geographic areas or industries.Visionaries: Innovators who demonstrate a strong understanding of current and future trends in the market.Challengers: Companies that have an established presence along with robust product capabilities.Leaders: Innovative powerhouses who demonstrate depth across the full range of data integration tools.To fully utilize the results of the Magic Quadrant, it’s necessary to understand each category: Here is the 2020 Magic Quadrant for Data Integration Tools: Magic Quadrant for Data Integration Tools 2020 Stream data integration that includes the ability to incorporate inferred row-to-row integrity as well as event models, and any variations of either of these. ![]() Data replication which copies schema and data from one location in a physical repository to another.Data synchronization that focuses on the establishment and maintenance between two independently managed CRUD instances of a shared data model.Data virtualization that provides logical views of the data.The ability to deploy any data integration styles, including the capability to work in conjunction with application services.A process that includes batch or bulk data movement.In order to qualify for inclusion in this quadrant, vendors must offer: Some examples of technology that would fall under the integration tool umbrella include those that address: This integration of tools is key to meeting the data consumption requirements of all business processes and applications in the enterprise and beyond. Gartner defines data integration as “a discipline comprising the practices, architectural techniques and tools that allow organizations to ingest, transform, combine and provision data across the spectrum of data types.” Published as Magic Quadrants, these results highlight the top vendors in each category and point out both strengths and challenges they might face.Īlthough the 2020 Gartner Magic Quadrant for Data Integration Tools isn’t drastically different from past years, the technologies and tools have evolved, giving certain vendors a leading edge against their nearest competitors. ![]()
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