AI Buyer Insights:

● Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

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● Michelin, an e2open customer evaluated Oracle Transportation Management

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● Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

● Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

● Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

● Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

● Michelin, an e2open customer evaluated Oracle Transportation Management

● Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

● Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

● Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

List of Terada Database Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
American Airlines Aerospace and Defense 141100 $54.6B 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.
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.
Vodafone Germany Communications 16000 $12.6B Germany Teradata Terada Database Database Management 2019 n/a
In 2019 Vodafone Germany deployed Terada Database to support analytics for 5G network roll-out and IoT use-cases across Germany. The Terada Database application is classified under Database Management and served as a centralized analytics repository to drive planning, prioritization and operational decision making for network programs. Implementation centered on advanced analytics workloads, including propensity modeling, customer valuation modeling, and geospatial 4D analytics to prioritize site deployments and service enablement. Module usage on the Teradata customer page aligns with Teradata analytics capabilities, with Teradata Vantage and Aster capabilities inferred where explicit module names are not listed, enabling large scale analytical processing and spatial analytics. Operational scope focused on telecom network planning and IoT program teams within Vodafone Germany, with data pipelines feeding network engineering, commercial planning and deployment prioritization workflows. The Database Management deployment centralized customer and network data to support model-driven scenario analysis and location prioritization across German network geographies. Governance emphasized model lifecycle and decision workflows, integrating analytics outputs into rollout prioritization processes and cross-functional planning forums. The Teradata case story documents telecom network and 5G planning outcomes for Germany and specifically notes the use of analytics to prioritize deployments, with implementation details and module references available on the vendor customer page.
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FAQ - APPS RUN THE WORLD Terada Database Coverage

Terada Database is a Database Management solution from Teradata.

Companies worldwide use Terada Database, from small firms to large enterprises across 21+ industries.

Organizations such as Pfizer, American Airlines and Vodafone Germany are recorded users of Terada Database for Database Management.

Companies using Terada Database are most concentrated in Life Sciences, Aerospace and Defense and Communications, with adoption spanning over 21 industries.

Companies using Terada Database are most concentrated in United States and Germany, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Terada Database across Americas, EMEA, and APAC.

Companies using Terada Database range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 100%.

Customers of Terada Database include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Terada Database customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Database Management.