List of Terada Database Customers
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Since 2010, our global team of researchers has been studying Terada Database 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 Terada Database for Database Management 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 Terada Database for Database Management include: Pfizer, a United States based Life Sciences organisation with 81000 employees and revenues of $63.63 billion, American Airlines, a United States based Transportation organisation with 136900 employees and revenues of $54.21 billion, Vodafone Germany, a Germany based Communications organisation with 16000 employees and revenues of $12.57 billion, The Very Group, a United Kingdom based Retail organisation with 3300 employees and revenues of $2.85 billion and many others.
Contact us if you need a completed and verified list of companies using Terada Database, 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 software purchases.
The Terada Database 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 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 |
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American Airlines | Transportation | 136900 | $54.2B | United States | Teradata | Terada Database | Database Management | 2020 | n/a |
In 2020 American Airlines implemented Terada Database and adopted Teradata VantageCloud on Microsoft Azure to centralize analytics across revenue management, technical operations, network planning, marketing, cargo and passenger sales across its global operations. The deployment aligned the airline with a Database Management platform hosted in public cloud, enabling a single analytical repository for cross‑functional decision support.
The implementation configured core Database Management capabilities including scalable SQL analytics, centralized data storage and ingestion pipelines, and workload management to support revenue optimization and operational analytics. Functional modules and capabilities were oriented around commercial analytics for passenger sales and cargo, engineering analytics for technical operations and fuel optimization, and planning analytics for network strategy, enabling consistent query performance and shared semantic models.
Operational coverage extended across American Airlines global operations, with a governance posture that centralized data access, standardized reporting workflows, and coordinated cross‑departmental analytics consumption. The airline reports reducing decision latency from 20–30 days to roughly 12–24 hours and applying analytics from the Terada Database deployment to optimize fuel burn with targeted large fuel savings.
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Pfizer | Life Sciences | 81000 | $63.6B | United States | Teradata | Terada Database | Database Management | 2017 | n/a |
In 2017, Pfizer implemented Terada Database for Database Management to support Global Business Intelligence and Digital Marketing business functions within a cloud based analytics ecosystem. The Terada Database deployment served as a central relational store and query layer that anchored data engineering, data science, and visual analytics workflows for enterprise analytics use cases.
Deployment architecture combined cloud data lake and warehouse topologies, the team designed and built a Data Lake, Data Warehouse and Data Mart using S3, Amazon Redshift, Hive, Spark and Pig while incorporating Terada Database for centralized relational storage and query processing. The program applied a cloudified approach with service oriented architecture and a maturity driven systematic migration to enable scalable ingestion, ETL and ELT pipelines, analytic model hosting, and self serve BI capabilities.
Operational integrations connected Terada Database with AWS and GCP services including Amazon Redshift and S3, Hadoop ecosystem components including HBase, MapReduce and Hive, and analytics tooling such as R Studio, Python, Tableau and SAP Lumira. The platform also integrated NoSQL technologies including MongoDB and Spark processing for feature engineering and machine learning workloads, supporting Bayesian classification models, feature selection and risk stratification on clinical, claims and EHR datasets, and a conversational agent prototype to personalize interactions.
Governance emphasized stakeholder engagement to enable user self serve analytics, re engineering of processes to reduce operational risk, and product discovery to improve user experience for web and internal customers. Enterprise risk management and advisory practices provided data management guidance, competitive and gap analysis, and operationalization of analytics workflows while rollout integrated Terada Database into the cloud analytics stack for global BI and marketing functions, with the stated aims of improving processes, reducing risks and increasing customer satisfaction.
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The Very Group | Retail | 3300 | $2.8B | United Kingdom | Teradata | Terada Database | Database Management | 2022 | n/a |
In 2022, The Very Group implemented Terada Database as a central Database Management platform to consolidate analytics for its UK pure play digital retail operations. The Terada Database deployment targeted core business functions including demand forecasting, supply chain replenishment, and customer experience analytics to support operational decision making across merchandising and replenishment workflows.
The implementation leverages Teradata VantageCloud on AWS and ClearScape Analytics as described on the vendor case page, with VantageCloud providing scalable analytical storage and distributed query processing and ClearScape delivering model orchestration and scoring capabilities. Configuration centered on automated weekly SKU level forecasting pipelines, data preparation routines for replenishment, and analytically driven customer experience scoring, aligning Database Management capabilities with forecasting and planning workflows.
Operational coverage spans supply chain planning, inventory replenishment, and customer analytics teams in the United Kingdom, with integrations into the AWS infrastructure that host VantageCloud. Governance emphasized scheduled forecasting runs and model scoring cadence, and reported outcomes include weekly forecasting of 160,000 SKUs, faster model scoring measured in minutes versus hours or days, and improved stock availability under the Terada Database Database Management deployment.
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Communications | 16000 | $12.6B | Germany | Teradata | Terada Database | Database Management | 2019 | n/a |
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