Teradata Korea announced that it has been named a Leader in Gartner's 2018 Magic Quadrant for Data Management Solutions for Analytics (DMSA) for the 16th consecutive time.

"Traditional data warehousing use cases are a foundational element of many organizations' analytics plans," the Gartner report stated. "However, there is growing interest in the ability to process and manage a growing variety of internal and external data in a variety of formats." The report added, "A complete DMSA must be able to accommodate a variety of data types, including interaction and observational data, such as IoT sensors, and non-relational data, such as text, image, audio, and video data."

Gartner also defines a "Data Management Solution for Analytics" as "a complete software system that supports and manages data in one or more file management systems (typically databases)." It goes on to say, "A Data Management Solution for Analytics includes specific optimizations to support analytical processing, including support for relational processing, non-relational processing, machine learning, and programming languages such as Python and R." “Data is not necessarily stored in a relational structure; it can use a variety of models, including relational, XML, JSON, key-value, text, graph, and geospatial,” he said.

“These results reaffirm our commitment to providing Teradata customers with the best products and services, regardless of where they deploy their software,” said Oliver Letzberg, Teradata’s chief operating officer.

Teradata introduced Teradata Everywhere to help customers maximize their data and analytics assets. This solution offers customers a flexible and scalable approach to reducing investment risk. It also enables customers to leverage analytics capabilities whenever and wherever they need them, on-premises or in both environments, and offers licensing options that offer greater flexibility in purchasing and deploying the Teradata analytics platform.