SAN DIEGO, April 5, 2018 /PRNewswire/ -- Teradata 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 (NYSE: TDC), the leading cloud-based data and analytics company, 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 data as more businesses begin to leverage those assets for increased efficiency, preventative maintenance, new services and more."

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.

Teradata IntelliCloud is available now and the Teradata Analytics Platform will be available later this year.

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About Teradata

Teradata helps companies achieve high-impact business outcomes. With a portfolio of cloud-based business analytics solutions, architecture consulting, and industry leading big data and analytics technology, Teradata unleashes the potential of great companies. Visit teradata.com.

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Critical Capabilities for Data Management Solutions for Analytics
Published: 16 March 2018 ID: G00328243

Analyst(s): Rick Greenwald, Adam M. Ronthal, Roxane Edjlali

Summary
Data management solutions for analytics are continuing to improve, with
key capabilities consolidating across all vendors. Real-time data 
analytics have moved to their own distinct use case. Data and analytics 
leaders can use this research to guide evaluation for modern DMSA 
offerings.

Overview
Key Findings
More than 70% of organizations surveyed have heterogeneous data 
management solutions for analytics (DMSA) environments with multiple 
products in the environment.

Cloud-based DMSAs continue to grow, with the estimated sales of the 
leading cloud-only DBMS vendors accounting for more than $2 billion of a 
$34 billion market.

Just over half of our surveyed organizations either use a cloud-based 
solution or a hybrid cloud and on-premises solution.

Hadoop-based vendors are maturing, but are still not approaching the 
robust capabilities across multiple use cases offered by more-traditional 
vendors.

Most solution vendors were rated as "meeting requirements" across all 
four of our use cases. The majority of vendors were ranked very closely 
in their capabilities for each use case.

Recommendations
For data and analytics leaders tasked with modernizing information 
infrastructure:

Use cloud-based solutions as options for new DMSA use cases. Existing 
DMSA use cases may also benefit from hybrid solutions, which can ease the
 migration path and deliver greater flexibility.

Provide rapid access to raw data and for use in building analytic models 
and performing exploratory analysis by exploiting the use of data lakes.


Implement the logical data warehouse (LDW) through the use of semantic 
interfaces to unify access to heterogeneous data sources as well as the 
multimodel capabilities of DMSA offerings.

Use robust use-case examples with production-level workloads in proofs of 
concept to ensure that a new DMSA offering will be able to meet your 
actual production needs.

https://www.gartner.com/doc/reprints?id=1-4P8TVEJ&ct=180119&st=sb

Jennifer Donahue
Teradata Public Relations
858-485-3029 office