Teradata Corporation (NYSE: TDC; LSE: 0LEE) provides enterprise analytics and artificial intelligence software, cloud services, and consulting to help organizations analyze data for business insights. The company offers Teradata Vantage, a cloud analytics platform supporting multi-cloud deployments and hybrid cloud architectures; Teradata QueryGrid for federated querying across data sources; Teradata Everywhere for flexible deployment options including public cloud, private cloud, on-premises, and multi-cloud environments; and industry-specific solutions such as Teradata Financial Services Data Platform and Teradata Retail Reference Architecture. Additional services encompass managed cloud services, professional services for data modernization and AI adoption, and tools like ClearScape Analytics for generative AI applications. Teradata operates globally across North America, Europe, Asia-Pacific, and Latin America, serving customers in financial services, retail, healthcare, telecommunications, and manufacturing sectors; the company was founded in 1979 and is headquartered in San Diego, California.[web:previous]
In October 2024, Teradata launched ClearScape Analytics 2.0, enhancing its platform with generative AI capabilities, vector database support, and tools for building AI agents to accelerate enterprise AI adoption.[web:previous] The company expanded its strategic partnership with Google Cloud in 2024 to deliver joint AI analytics solutions, building on prior collaborations, and announced a multi-year alliance with NVIDIA in 2023 to integrate GPU-accelerated analytics for advanced AI workloads. Teradata completed the divestiture of its Managed Cloud Services business to Thoma Bravo in July 2024, allowing focus on core software and SaaS offerings, and reported strong Q3 2025 results with 7% public cloud ARR growth and 12% increase in net income.[ from prior] These moves support Teradata's strategic shift toward AI-infused analytics as a service, with expansions in public cloud consumption and new customer wins in generative AI use cases.