Teradata in its latest statement boasted that it has received the highest scores in three of four use cases in the Gartner report, “Critical Capabilities for Data Management Solutions for Analytics,” issued March 16, 2018, by analysts Rick Greenwald, Adam M. Ronthal and Roxane Edjlali. Teradata is one of 21 vendors evaluated in the report, which is a companion note to the 2018 Magic Quadrant for Data Management Solutions for Analytics, issued Feb. 13, where Teradata was named as a Leader for the 16th consecutive time.
“Teradata’s dominating leadership position in the Critical Capabilities evaluation, including our perfect score in the advanced analytics category, speaks to our ongoing success in directly addressing today’s biggest analytic challenges with innovative products and services that create meaningful business value,” said Martyn Etherington, Chief Marketing Officer at Teradata. “We are particularly proud of our top ranking in the new real-time use case, which will only become more relevant in the burgeoning field of sensors and Internet of Things as more businesses begin to leverage those assets for increased efficiency, preventative maintenance, new services and more.”
Souma Das, Managing Director, Teradata India, said, “Teradata is focused on providing customers with solutions that enable them to leverage the full power of data analytics to drive success across the business. We are pleased to see that acknowledgement reflected in the Gartner Critical Capabilities report where Teradata has received the highest score in Real-Time Data Warehouse, Logical Data Warehouse, and Traditional Data Warehouse Use Cases. Teradata achieved a perfect score for Advanced Analytics, performance and high availability in the report. This recognition is a reflection of our efforts to comprehend the customer needs and provide the best value to them.”
In its report, Gartner characterized the current landscape: “Organizations are increasingly using their DMSAs to access data from multiple external sources, as well as combining multiple data types and models together in the same DMSA…Moreover, expectations are now turning to the cloud as an alternative deployment option because of its elasticity and operational pricing models.”
The “Teradata Everywhere” strategy meets and exceeds market demands by delivering the full power of Teradata software across a mix of public cloud and on-premises environments, with unprecedented platform choice and flexibility.
As a foundational component of Teradata Everywhere, the Teradata Analytics Platform takes this concept even further by delivering a unified platform with the best analytic functions, the leading analytic engines, the industry’s preferred commercial and open source analytic tools and languages, and support for a wealth of data types. This allows data scientists and business analysts to execute a wide variety of advanced analytics techniques, including artificial intelligence-based analytics. By doing this within a single workflow, the Teradata Analytics Platform allows for better, faster and more precise insights based on all data, rather than a subset.
Underpinning these innovative solutions is IntelliCloud, Teradata’s platform as-a-service offering for analytics at scale. With Teradata managing the infrastructure and guaranteeing system availability, customers gain a high-performance, low cost per query analytic platform capability, and are free to focus on delivering valuable business insights.
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