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. Each year, renowned IT consulting firm Gartner researches and compiles reports based on their findings of current market trends in a wide variety of industries.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |