Leading data and analytics company, Teradata has been positioned in the Gartner 2018 Magic Quadrant for Data Management Solutions for Analytics issued February 13, 2018, by Gartner analysts Adam M. Ronthal, Roxane Edjlali, and Rick Greenwald. As one of 22 vendors evaluated in the 2018 report, Teradata was recognized as a Leader for the 16th consecutive time.
“Teradata’s continued leadership in this industry validates our strategy to offer customers unprecedented analytics at scale, data management, license flexibility and deployment choices,” said Oliver Ratzesberger, Chief Operating Officer, Teradata. “I am delighted to see that our public cloud partners, Microsoft and Amazon Web Services, also appear in the leaders’ quadrant, confirming that Teradata customers, regardless of where they deploy our software, are receiving the very best products and services available.”
According to the report, although the traditional data warehousing use case remains foundational to most organizations’ analytics initiatives, there is also interest in the ability to manage and process increasingly diverse formats for both internal and external data. A complete DMSA must therefore be able to accommodate a diverse range of data types. These may include interaction and observational data — from Internet of Things (IoT) sensors, for example — as well as nonrelational data, such as text, image, audio and video data.”
For this Magic Quadrant, Gartner defines a data management solution for analytics as “a complete software system that supports and manages data in one or more file management systems (usually databases). DMSAs include specific optimizations to support analytical processing. This includes, but is not limited to, support for relational processing, nonrelational processing (such as graph processing), and machine learning and programming languages such as Python and R. Data is not necessarily stored in a relational structure, and multiple models can be used — for example, relational, XML, JSON, key-value, text, graph and geospatial.”
