Overview
Teradata is honored to receive the highest score for Logical Data Warehouse and Traditional Data Warehouse† use cases in the 2023 Gartner® Critical Capabilities for Cloud Database Management Systems for Analytical Use Cases. In addition, Teradata was recognized for our cloud vision and execution in the 2023 Gartner® Magic Quadrant™ for Cloud Database Management Systems.
As generative AI has accelerated the adoption of AI, we stand out by offering a bold vision for how enterprises can drive value from harmonized data, faster innovation, and trusted AI. We’re pleased that Gartner recognized us for Teradata VantageCloud, the most complete cloud analytics and data platform for trusted AI. We demonstrate an unrivaled capacity to meet our customers’ evolving and multifaceted analytical needs through ClearScape Analytics™, the most powerful engine for deploying end-to-end AI/ML pipelines.
With Teradata, organizations can accelerate AI value by managing uncontrolled data growth, delivering an open and connected ecosystem, and scaling trusted AI cost-effectively. How can your enterprise take advantage of our industry-leading solutions and capabilities?
In the modern business landscape, you need to connect data across multiple sources, systems, and technologies—and turn them into usable insights. Yet uprooting data increases resource requirements, application and system interdependencies, and latency. Teradata gives organizations the ability to seamlessly manage data while respecting its gravity—avoiding the waste of time and resources and loss of accuracy involved in moving data from its native location.
Teradata’s QueryGrid, a unified data integration and management layer, allows organizations to use data from any source without having to move it into a new system. This accelerates data delivery, reduces computing costs, automates data management and enables self-service for data users across the enterprise.
Complex challenges demand robust tools. And innovative AI business cases require handling tremendous amounts of data cost-efficiently. With the best workload management for analytics on the market, Teradata lets organizations control costs while flexing analytics power across large datasets.
With our unsurpassed workload performance, organizations can consolidate data silos and prioritize workloads for sophisticated business solutions, like generative AI and machine learning. As a result, organizations can lower TCO in the cloud while achieving their goals, whether that’s improving customer experiences or optimizing supply chains from end to end.
Teradata helps organizations unleash the value of their data, by providing the most advanced analytic capabilities, encompassing integrated AI/ML, robust mixed-workload management, and distributed access to help drive business goals.
With harmonized data, faster innovation, and trusted AI, we uplift and empower our customers—and our customers’ customers—to make better, more trusted decisions.
Learn more about our solutions:
And read the full reports:
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† Tied for #1 rank in Traditional Data Warehouse use case.
Gartner, Critical Capabilities for Cloud Database Management Systems for Analytical Use Cases, By Rick Greenwald, Henry Cook, Xingyu Gu, Aaron Rosenbaum, Ramke Ramakrishnan, Adam Ronthal, 8 January 2024.
Gartner, Magic Quadrant for Cloud Database Management Systems, By Adam Ronthal, Rick Greenwald, Xingyu Gu, Ramke Ramakrishnan, Aaron Rosenbaum, Henry Cook, 18 December 2023.
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.