Teradata develops software and services for cloud analytics, enterprise data management, and AI. Its positioning centers on an Autonomous AI + Knowledge Platform that helps organizations connect distributed data, apply analytics and AI to operational workloads, and support deployment across cloud, on-premises, and hybrid environments.
The company’s portfolio is built to support large-scale, mixed analytic workloads while giving customers flexibility in how they modernize. Teradata combines its cloud platform, on-premises deployment options, in-database analytics, vector capabilities, agentic AI tooling, and advisory services to help enterprises move from data consolidation and modernization into production AI use cases.
Offerings, Capabilities, and Integrations
Teradata’s offerings emphasize deployment flexibility, allowing customers to run analytics and AI in public cloud, on-premises, and hybrid architectures. Its platform supports multi-cloud strategies across Amazon Web Services, Microsoft Azure, and Google Cloud, and is designed to work with open data ecosystems rather than forcing customers into a single stack.
Across the portfolio, Teradata supports SQL, Python, and R workflows, in-database analytics, model operationalization, and AI development patterns that reduce data movement. The company also supports open table formats and integrations with major cloud and AI services, including object storage, cloud-native machine learning environments, large language model services, and developer frameworks used for retrieval-augmented generation and agentic AI.
Products and Services
- Teradata VantageCloud: Teradata’s flagship cloud analytics and data platform, encompassing VantageCloud Lake and VantageCloud Enterprise for enterprise analytics, AI, and mixed workloads across major public clouds.
- Teradata on premises: On-premises deployment option for organizations that need maximum control over performance, governance, data residency, and security, while supporting hybrid architectures with cloud environments.
- ClearScape Analytics: Teradata’s analytics and AI/ML layer with in-database analytic functions, model operationalization, open language and API support, and capabilities for predictive, generative, and agentic AI workflows.
- Teradata AI Factory: A ready-to-run on-premises AI offering for regulated and security-sensitive environments, combining Teradata software, AI tooling, and NVIDIA-enabled infrastructure for private AI deployment.
- Teradata Enterprise AgentStack: A platform for building, deploying, monitoring, and governing enterprise AI agents, including AgentBuilder, Enterprise MCP, AgentEngine, and AgentOps capabilities.
- Teradata Enterprise Vector Store: An enterprise vector capability for unifying structured and unstructured multimodal data, supporting hybrid search, retrieval-augmented generation, and agentic AI use cases at scale.
- Teradata AI Services: AI-focused consulting and delivery services that help customers activate infrastructure, prioritize use cases, operationalize production AI, and sustain deployed solutions.
- Teradata AI Unlimited: An on-demand AI/ML engine for exploratory analytics and experimentation that gives data teams flexible compute for development and discovery outside mission-critical production environments.
- Teradata Analyst Agent: A conversational analytics agent designed for business and data analysts to explore enterprise data and generate insights without requiring manual coding or dashboard development.
Target Customers
Teradata primarily targets large enterprises with complex, high-volume data environments and stringent performance, governance, or compliance requirements. Its customer base spans industries such as financial services, healthcare and life sciences, retail, manufacturing, telecommunications, transportation, and public services.
The platform is suited to organizations that need to modernize legacy analytics estates, unify data across multiple environments, and operationalize AI without losing control over security or cost. Teradata also serves multiple stakeholder groups inside those enterprises, including data engineers, data scientists, analytics leaders, business analysts, and IT teams responsible for mission-critical data platforms.
Cloud Integrations and Marketplace
- AWS Marketplace: Teradata has a verified presence on AWS Marketplace, including marketplace procurement for Teradata VantageCloud Lake and Teradata VantageCloud Enterprise, with additional AWS-related offerings such as Teradata AI Unlimited.
- Microsoft Azure Marketplace: Teradata has a verified presence on Microsoft Azure Marketplace, including Teradata VantageCloud offerings on Azure and additional Azure marketplace availability for AI-related offerings.
- Google Cloud Marketplace: Teradata has a verified presence on Google Cloud Marketplace for Teradata Vantage on Google Cloud, aligned with its broader VantageCloud availability and deployment support on Google Cloud.
Key People
- Steve McMillan: President and Chief Executive Officer
- Michael P. Gianoni: Independent Chair of the Board
- John Ederer: Chief Financial Officer
- Michael Hutchinson: Chief Operating Officer
- Sumeet Arora: Chief Product Officer
- Richard Petley: Chief Revenue Officer
- Scot Rogers: Chief Administrative Officer
- Josh Fecteau: Chief Data and AI Officer
Key Facts
- Headquarters: San Diego, California, United States
- Employees: Approximately 5,100
- Annual Revenue: $1.663 billion
- Parent Company: None
- Subsidiaries: 66 subsidiaries, including Teradata International, Inc., Teradata US, Inc., Teradata Operations, Inc., Teradata Government Systems LLC, and Teradata Global Holdings B.V.
- Publicly Listed: NYSE: TDC
Analyst Recognitions
- Gartner: 2025 Gartner Magic Quadrant for Cloud Database Management Systems — Visionary. 2025 Gartner Critical Capabilities for Cloud Database Management Systems for Analytical Use Cases — top five across all evaluated use cases; tied for 2nd in the Enterprise Data Warehouse use case.
- Forrester: The Forrester Wave: Data Fabric Platforms, Q4 2025 — Leader. The Forrester Wave: Data Management for Analytics Platforms, Q2 2025 — Leader.
- IDC: IDC MarketScape: Worldwide Machine Learning Operations Software 2024 Vendor Assessment — Major Player.
- Everest Group: Everest Group PEAK Matrix for Cloud for Healthcare – Data Platform Vendors 2022 — Major Contender.
