Discover How Teradata is Recognized in 2024 and 2025 Gartner® Reports

A Visionary in the 2024 Gartner® Magic Quadrant™ for Cloud Database Management Systems.

Teradata has been recognized as a Visionary in the 2024 Gartner® Magic Quadrant™ for Cloud Database Management Systems. We believe this recognition underscores Teradata’s role in addressing the evolving needs of enterprises, combining advanced cloud-native solutions with a commitment to delivering actionable insights from complex data. 

The Magic Quadrant evaluated twenty global vendors based on their Completeness of Vision and Ability to Execute. “This Magic Quadrant will help data and analytics leaders make the right cloud DBMS choices in this essential market.’’  

Teradata’s ability to support cloud, on-premises, and hybrid deployments offers strategic advantages for enterprises managing complex regulatory and operational needs. Additionally, Teradata’s excellence in integration within cloud ecosystems and financial governance positions it as a trusted partner for enterprise data management.

Recognition in Analytical Use Cases 

Teradata (Teradata Vantage) also placed among the highest ranked five vendors in 2025 Gartner® Critical Capabilities report for Cloud Database Management Systems for Analytical Use Cases. Teradata tied for second in the Enterprise Data Warehouse Use Case for 2025 and was consistently recognized across all evaluated Use Cases.

Fueling the Future of Data-Driven Innovation 

At the core of Teradata’s success is Teradata VantageCloud, the most complete cloud analytics and data platform for trusted AI, with ClearScape Analytics™ as an integral component. Together, these tools allow businesses to:

• Unify data seamlessly across ecosystems: VantageCloud integrates data across systems, enabling a connected data environment for smarter, faster decision-making. Teradata's open architecture integrates with tools like Jupyter, TensorFlow, and Hugging Face, enabling customers to leverage the best tools and frameworks for their unique needs. 
• Deploy models at scale: Easily deploy millions of models in production with minimal manual intervention, leveraging automated ModelOps and integrated hybrid/multi-cloud environments.
• Accelerate value without cost overruns: Teradata optimizes compute and storage costs while supporting complex, large-scale data workloads efficiently. 
• Spend less time on data prep: With in-database analytics, Teradata eliminates data movement, enabling faster model training, feature engineering, and real-time scoring while maximizing data reuse for improved efficiency.  

Explore the Full Reports

Learn more about Teradata’s recognition. Access the full 2024 Gartner® Magic Quadrant™ for Cloud Database Management Systems and its companion, the 2025 Gartner® Critical Capabilities for Cloud Database Management Systems for Analytical Use Cases, to gain actionable insights and evaluate the future of your data strategy.

Learn More About Teradata’s AI & ML Platform now.

---

Gartner does not endorse any vendor, product, or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

Gartner, Magic Quadrant for Cloud Database Management Systems, By Henry Cook, Ramke Ramakrishnan, Xingyu Gu, Aaron Rosenbaum, Masud Miraz, 19 December 2024.

Gartner, Critical Capabilities for Cloud Database Management Systems for Analytical Use Cases, By Aaron Rosenbaum, Henry Cook, Ramke Ramakrishnan, Xingyu Gu, Masud Miraz, 20 January 2025. 
 
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, Magic Quadrant is a registered trademark of Gartner, Inc. and/or its affiliates and is used herein with permission. All rights reserved.