List of Teradata Appliance for Hadoop Customers
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Since 2010, our global team of researchers has been studying Teradata Appliance for Hadoop customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Teradata Appliance for Hadoop for Data Warehouse Appliance from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Teradata Appliance for Hadoop for Data Warehouse Appliance include: Walmart, a United States based Retail organisation with 2100000 employees and revenues of $681.00 billion, Apple, a United States based Manufacturing organisation with 166000 employees and revenues of $416.16 billion, CVS Health, a United States based Healthcare organisation with 219000 employees and revenues of $372.81 billion, ExxonMobil, a United States based Oil, Gas and Chemicals organisation with 61000 employees and revenues of $339.25 billion, Cardinal Health, a United States based Healthcare organisation with 53084 employees and revenues of $222.58 billion and many others.
Contact us if you need a completed and verified list of companies using Teradata Appliance for Hadoop, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the Analytics and BI software purchases.
The Teradata Appliance for Hadoop customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of Analytics and BI software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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3M | Manufacturing | 61500 | $24.6B | United States | Teradata | Teradata Appliance for Hadoop | Data Warehouse Appliance | 2012 | n/a | In 2012, 3M implemented Teradata Appliance for Hadoop as a Data Warehouse Appliance to centralize high-volume analytics and enterprise reporting across manufacturing and corporate functions. The deployment positioned Teradata Appliance for Hadoop as an on-premise appliance layer integrated with the company Hadoop environment, providing a purpose-built MPP SQL processing tier for large scale analytic workloads and consolidated data storage. The implementation emphasized standard Data Warehouse Appliance capabilities, including SQL-based analytics, scalable parallel query execution, bulk data ingestion and staging, and workload isolation for analytics processing. Operational scope targeted manufacturing analytics, supply chain reporting, and corporate business intelligence, with governance focused on centralized data models, ingestion workflows, access controls and role-based query governance to ensure consistent enterprise reporting and analytic consumption. | |
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Agilent Technologies | Life Sciences | 18000 | $6.5B | United States | Teradata | Teradata Appliance for Hadoop | Data Warehouse Appliance | 2017 | n/a | In 2017, Agilent Technologies deployed Teradata Appliance for Hadoop as a Data Warehouse Appliance. The deployment established a consolidated analytical infrastructure intended to support enterprise reporting and research informatics across Agilent's Life Sciences operations. The initiative positioned the appliance as a central data repository for large scale analytic workloads and SQL based analytics. Teradata Appliance for Hadoop was configured to provide scalable storage and SQL oriented analytic processing, leveraging the appliance's native Hadoop integration capabilities. Functional capabilities implemented included bulk data ingestion pipelines, columnar storage optimization, workload management and data partitioning to support complex analytical queries. The architecture emphasized appliance level orchestration with co located compute and storage to optimize throughput for analytic workloads. Operational scope centered on enterprise analytics, business intelligence and research data workflows, with primary business functions impacted including analytics, reporting and research informatics. Governance and process changes focused on centralizing data access controls and establishing standardized SQL based analytic workflows, with IT and analytics teams assuming platform ownership. Source and further contact are noted as Contact ARTW. | |
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Amgen | Life Sciences | 28000 | $33.4B | United States | Teradata | Teradata Appliance for Hadoop | Data Warehouse Appliance | 2013 | n/a | In 2013, Amgen implemented Teradata Appliance for Hadoop, deploying a Data Warehouse Appliance to consolidate high-volume analytical workloads. The Teradata Appliance for Hadoop was positioned to centralize enterprise-scale data processing and provide a unified analytics platform for structured and large-scale unstructured data. The implementation emphasized appliance characteristics common to Data Warehouse Appliance deployments, including massively parallel processing compute nodes, integrated Hadoop storage sensitivity, distributed SQL access, and workload management for mixed batch and ad hoc queries. Configuration work focused on schema consolidation for enterprise data warehouse patterns, data ingestion pipelines into the Hadoop-enabled appliance, and optimization of analytic query patterns consistent with columnar and MPP architectures. Operational coverage targeted cross-functional analytics, providing a platform for data science, business intelligence, and operational reporting across research, biomanufacturing, and commercial analytics domains. Access models and data provisioning workflows were aligned with departmental reporting needs, with shared storage and compute pools to support concurrent analytic workloads. Governance and operational controls were established to support enterprise use, including role based access controls, data governance workflows, and orchestrated ingestion and refresh schedules. Teradata Appliance for Hadoop was documented as the central Data Warehouse Appliance for Amgen analytics, with implementation and ongoing stewardship coordinated through centralized data operations and analytics governance processes. | |
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Professional Services | 1300 | $1.0B | United States | Teradata | Teradata Appliance for Hadoop | Data Warehouse Appliance | 2012 | n/a |
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Manufacturing | 166000 | $416.2B | United States | Teradata | Teradata Appliance for Hadoop | Data Warehouse Appliance | 2015 | n/a |
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Communications | 146040 | $122.4B | United States | Teradata | Teradata Appliance for Hadoop | Data Warehouse Appliance | 2013 | n/a |
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Banking and Financial Services | 213000 | $101.9B | United States | Teradata | Teradata Appliance for Hadoop | Data Warehouse Appliance | 2017 | n/a |
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Banking and Financial Services | 53597 | $25.2B | Canada | Teradata | Teradata Appliance for Hadoop | Data Warehouse Appliance | 2011 | n/a |
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Banking and Financial Services | 9261 | $2.8B | United States | Teradata | Teradata Appliance for Hadoop | Data Warehouse Appliance | 2017 | n/a |
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Banking and Financial Services | 93000 | $34.9B | United Kingdom | Teradata | Teradata Appliance for Hadoop | Data Warehouse Appliance | 2011 | n/a |
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Buyer Intent: Companies Evaluating Teradata Appliance for Hadoop
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