Teradata Included in Gartner Peer Insights™ Voice of the Customer for Data Science and Machine Learning Platforms

Rhea-AI Summary

Teradata (NYSE: TDC) was included in the 2025 Gartner Peer Insights Voice of the Customer report for Data Science and Machine Learning Platforms, based on verified customer reviews as of August 2025.

Key metrics: one of 11 vendors recognized, a 95% Willingness to Recommend score from reviewers, and a 4.7/5 Product Capabilities rating out of 21 ratings. The recognition reflects customer feedback on Teradata's DSML platform performance, reliability, and functionality across the data science lifecycle.

News Market Reaction

-1.73%

1 alert

-1.73% News Effect

On the day this news was published, TDC declined 1.73%, reflecting a mild negative market reaction.

Data tracked by StockTitan Argus on the day of publication.

Key Figures

Vendors in report: 11 vendors Willingness to Recommend: 95% Product Capabilities rating: 4.7 out of 5 +3 more

6 metrics

Vendors in report 11 vendors Recognized in 2025 Gartner Peer Insights Voice of the Customer DSML report

Willingness to Recommend 95% Customer score in Gartner Peer Insights DSML Platforms

Product Capabilities rating 4.7 out of 5 Gartner Peer Insights DSML Platforms

Review cutoff date August 2025 Reviews as of this date in Gartner citation

Ratings count 21 ratings Number of customer ratings referenced in Gartner disclaimer

Gartner report date October 30, 2025 Gartner Peer Insights Voice of the Customer DSML report

Market Reality Check

Price: $37.88 Vol: Volume 1,101,640 is sligh...

normal vol

$37.88 Last Close

Volume Volume 1,101,640 is slightly below 20-day average 1,224,062 (about 0.9x normal activity). normal

Technical Price $31.74 is trading above the 200-day MA at $23.43, near the 52-week high of $33.03.

Peers on Argus

TDC was roughly flat (-0.06%) while peers were mixed: C3.ai up 2.06%, EVERTEC up...

TDC was roughly flat (-0.06%) while peers were mixed: C3.ai up 2.06%, EVERTEC up 1.64%, FIVE9 slightly down, Appian down 3.73%, and AvidXchange unchanged, pointing to stock-specific rather than sector-wide drivers.

Historical Context

5 past events · Latest: Jan 06 (Positive)

Pattern 5 events

Date	Event	Sentiment	Move	Catalyst
Jan 06	Analyst recognition	Positive	+1.9%	Named a Leader in Forrester data fabric platform evaluation.
Nov 24	Investor conferences	Positive	+1.7%	Announced December technology and AI-focused investor conference presentations.
Nov 04	Quarterly earnings	Negative	-4.1%	Q3 2025 revenue decline and mixed growth metrics vs prior year.
Nov 03	AI leadership hire	Positive	+3.5%	Appointment of Chief Data and AI Officer to lead AI strategy.
Oct 28	AI services launch	Positive	+0.4%	Launch of Teradata AI Services to industrialize agentic AI use cases.

Pattern Detected

News-driven moves have generally aligned with headline tone: positive AI/analyst recognition and leadership updates often coincided with gains, while earnings pressure saw a negative reaction.

Recent Company History

Over the last few months, Teradata news has centered on AI positioning and financial performance. A Jan 06 2026 analyst report naming Teradata a leader in data fabric platforms saw the stock rise, as did AI leadership and services launches in late 2025. By contrast, Q3 2025 earnings with declining revenue produced a selloff. Today’s Gartner customer-voice recognition fits the ongoing theme of strengthening Teradata’s AI and analytics credentials alongside prior analyst accolades and new AI offerings.

Market Pulse Summary

This announcement highlights external customer validation of Teradata’s data science and machine lea...

Analysis

This announcement highlights external customer validation of Teradata’s data science and machine learning platform, including a 95% Willingness to Recommend and 4.7/5 Product Capabilities rating in a Gartner Peer Insights report. In the context of recent AI product launches and leadership moves, it reinforces Teradata’s strategic emphasis on AI and analytics. Investors may track future earnings, cloud ARR trends, and additional third-party assessments to gauge how this recognition translates into business performance.

Key Terms

data science and machine learning platform, low-code, data science life cycle, compute instances, +2 more

6 terms

data science and machine learning platform technical

"Gartner defines a data science and machine learning platform as an integrated set..."

A data science and machine learning platform is a software environment that helps organizations turn large volumes of data into automated models and clear predictions, like a workshop that takes raw materials and builds useful tools. For investors, it matters because these platforms can speed product development, improve forecasting and efficiency, and create competitive advantages that may boost revenue or reduce costs — similar to how better tools let a factory produce higher-quality goods faster.

low-code technical

"an integrated set of code-based libraries and low-code tooling"

Low-code is a way to build software using visual drag-and-drop tools and prebuilt components so people can create applications with little or no hand-coding. For investors, it matters because it can speed product launches, cut development costs and let businesses respond faster to change—like assembling a house from prefabricated rooms rather than laying every brick—while also raising considerations about security, scalability and vendor dependence that affect long-term value.

data science life cycle technical

"through all stages of the data science life cycle, including business understanding..."

The data science life cycle is the step-by-step process organizations use to turn raw data into usable insights and automated decisions, like following a recipe from gathering ingredients to tasting the finished dish. It covers collecting and cleaning data, exploring patterns, building and testing predictive tools, and deploying results into business operations. Investors care because a mature cycle can lower risk, speed product improvements, cut costs, and create measurable impact on revenue and competitive advantage.

compute instances technical

"provided via desktop client or browser with supporting compute instances or as a fully managed cloud offering"

Compute instances are virtualized servers rented on demand from cloud providers, like booking a temporary office or hiring a short-term worker to run software and store data. Investors care because the number, type, and pricing of these instances drive operating costs, revenue and scalability for digital businesses and cloud vendors—changes in usage or price can signal growth, efficiency gains, or cost pressure.

cloud offering technical

"or as a fully managed cloud offering"

A cloud offering is a product or service delivered over the internet instead of being installed on a user’s own computer or server, like renting furniture instead of buying it. For investors, cloud offerings matter because they often create steady, repeatable revenue, lower upfront costs, and faster customer growth, but they can also concentrate risks around service reliability, pricing pressure, and ongoing customer retention.

AI/ML technical

"helps enterprises operationalize advanced analytics and AI/ML at scale"

AI/ML stands for artificial intelligence and machine learning, software systems that identify patterns in data and make predictions or automate decisions, improving performance as they process more information. Investors care because these technologies can boost revenue, cut costs and create competitive advantages — like a factory that learns to produce goods faster and with fewer mistakes — while also introducing execution, ethical and regulatory risks that can affect a company’s value.

AI-generated analysis. Not financial advice.

SAN DIEGO, Jan. 13, 2026 /PRNewswire/ -- Teradata (NYSE: TDC) announced its inclusion in the 2025 Gartner Peer Insights™ Voice of the Customer for Data Science and Machine Learning (DSML) Platforms. This recognition highlights direct feedback from verified customers on their real-world experience with Teradata's DSML capabilities and platform performance.

What Are Data Science and Machine Learning Platforms?
"Gartner defines a data science and machine learning platform as an integrated set of code-based libraries and low-code tooling. These platforms support the independent use and collaboration among data scientists and their business and IT counterparts, with automation and AI assistance through all stages of the data science life cycle, including business understanding, data access and preparation, model creation, and sharing of insights. They also support engineering workflows, including the creation of data, feature, deployment and testing pipelines. The platforms are provided via desktop client or browser with supporting compute instances or as a fully managed cloud offering."
–– Gartner, Gartner Peer Insights Voice of the Customer for Data Science and Machine Learning Platforms, Peer Contributors, October 30, 2025

Such platforms serve as a foundation for scalable AI/ML development, ensuring teams can build, deploy, and operationalize models efficiently across the enterprise.

Key Highlights:

• Teradata is one of only 11 vendors recognized in this report.
• Received a 95% Willingness to Recommend score, which Teradata believes reflects the trust and real-world value customers see in its DSML capabilities.
• Received a 4.7 out of 5 rating for Product Capabilities, demonstrating strength in depth, reliability, and functionality across the data science lifecycle.

Executive Quote
"We believe this recognition underscores our commitment to delivering an autonomous AI and knowledge platform that helps enterprises operationalize advanced analytics and AI/ML at scale. Customer feedback is invaluable in shaping our roadmap and ensuring we deliver solutions that drive measurable business outcomes."
— Sumeet Arora, Chief Product Officer at Teradata

Read The Reviews 

Disclaimer
Gartner, Gartner Peer Insights Voice of the Customer for Data Science and Machine Learning, Peer Contributors, October 30, 2025. Reviews are as of August 2025 out of 21 ratings. Gartner and Peer Insights™ are trademarks of Gartner, Inc. and/or its affiliates. All rights reserved. Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.

About Teradata 
Teradata is the AI platform built for the autonomous era. Our AI + Knowledge Platform and multifaceted AI Services help enterprises deploy solutions with deep domain expertise and full enterprise context. Wherever data resides—cloud, on-prem, or hybrid—Teradata connects and scales to deliver the performance AI needs.

Learn more at Teradata.com.

The Teradata logo and ClearScape Analytics are trademarks, and Teradata is a registered trademark of Teradata Corporation and/or its affiliates in the U.S. and worldwide.

MEDIA CONTACTS
January Machold
January.Machold@Teradata.com

View original content:https://www.prnewswire.com/news-releases/teradata-included-in-gartner-peer-insights-voice-of-the-customer-for-data-science-and-machine-learning-platforms-302659506.html

SOURCE Teradata Corporation

FAQ

What recognition did Teradata (TDC) receive on January 13, 2026?

Teradata announced inclusion in the 2025 Gartner Peer Insights Voice of the Customer for Data Science and Machine Learning Platforms.

How many vendors were recognized alongside Teradata (TDC) in the 2025 Gartner DSML Voice of the Customer?

Teradata was one of only 11 vendors recognized in the report.

What scores did Teradata (TDC) report from Gartner Peer Insights reviews?

Teradata reported a 95% Willingness to Recommend score and a 4.7 out of 5 rating for Product Capabilities, based on 21 ratings as of August 2025.

What aspects of Teradata's platform did the Gartner recognition highlight for investors?

The recognition highlights customer-rated strength in DSML platform performance, reliability, functionality, and end-to-end support across the data science lifecycle.

How many customer reviews supported Teradata's Gartner Peer Insights recognition?

The announcement cites 21 ratings as the basis for the reported scores.

Does the Gartner Peer Insights Voice of the Customer endorsement mean Gartner endorses Teradata (TDC)?

No; Gartner Peer Insights content reflects individual end-user opinions and Gartner does not endorse any vendor or product in the report.