List of Amazon Data Exchange Customers
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Since 2010, our global team of researchers has been studying Amazon Data Exchange 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 Amazon Data Exchange for Master Data 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 Amazon Data Exchange for Master Data Management include: Goldman Sachs, a United States based Banking and Financial Services organisation with 48300 employees and revenues of $53.51 billion, Moderna, a United States based Life Sciences organisation with 5600 employees and revenues of $6.75 billion, FactSet, a United States based Professional Services organisation with 12886 employees and revenues of $2.32 billion and many others.
Contact us if you need a completed and verified list of companies using Amazon Data Exchange, 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 Amazon Data Exchange 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 | Insight Source |
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FactSet | Professional Services | 12886 | $2.3B | United States | Amazon Web Services (AWS) | Amazon Data Exchange | Master Data Management | 2021 | n/a | In 2021, FactSet integrated Amazon Data Exchange, Apps Category: , to reduce friction in onboarding licensed financial datasets and to make those datasets easier for clients to query and consume. The year placement reflects the timing of this integration with Amazon Data Exchange and its role in streamlining data delivery into cloud analytics platforms. The Amazon Data Exchange implementation centers on packaging canonical market and reference datasets as consumable products, applying structured metadata and license entitlements, and delivering query-ready formats optimized for Amazon Redshift. Configuration work emphasized dataset publication workflows, schema mapping to canonical identifiers, and automated refresh orchestration to support finance and market data workflows. Integrations explicitly include Amazon Redshift as the primary query and analytics endpoint, with Amazon Data Exchange serving as the distribution and entitlement layer. Operational scope supports FactSets master and reference data distribution, enabling global customer consumption patterns and internal productization of market data offerings. Governance focused on formalizing dataset lifecycle management, licensed access controls, and entitlement tracking through the Amazon Data Exchange flow, while process changes reduced onboarding steps for clients and standardized how canonical data products are delivered. The implementation established a centralized distribution architecture for master/reference data to support finance, market data, and client-facing data workflows. | |
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Goldman Sachs | Banking and Financial Services | 48300 | $53.5B | United States | Amazon Web Services (AWS) | Amazon Data Exchange | Master Data Management | 2021 | n/a | In 2021, Goldman Sachs implemented Amazon Data Exchange as a core component of the Goldman Sachs Financial Cloud for Data in collaboration with Amazon Web Services. Amazon Data Exchange was integrated to streamline discovery, licensing, and ingestion of third party financial data for institutional clients, establishing a managed path for commercial data acquisition within the firm. The deployment was structured to support Goldman Sachs’ data management and master data management capabilities, with Amazon Data Exchange providing cataloging, licensing orchestration, and automated ingestion pipelines into internal data stores. Functional capabilities implemented included data discovery, license and entitlement management, catalog-driven ingestion workflows, and data provisioning for market and reference data used in analytics and client solutions. Operational coverage focused on market and reference data used across institutional client solutions and global analytics environments, with governance centered on centralizing data access and licensing controls and embedding Amazon Data Exchange into catalog and ingestion lifecycles. The implementation connects Goldman Sachs, Amazon Data Exchange, Data Management/MDM and business functions such as research, trading analytics, and client data services. | |
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Moderna | Life Sciences | 5600 | $6.8B | United States | Amazon Web Services (AWS) | Amazon Data Exchange | Master Data Management | 2023 | n/a | In 2023 Moderna standardized its real world evidence data procurement and onboarding on Amazon Data Exchange, using the Apps Category to centralize external dataset acquisition for research and clinical enrollment analytics. Amazon Data Exchange was positioned as the enterprise catalog and distribution layer for curated datasets consumed by R&D analytics teams. Configuration work emphasized automated data listings, entitlement management, and standardized ingestion workflows to reduce manual onboarding and accelerate extract and transform operations. The implementation included dataset cataloging, schema versioning, metadata lineage, and dataset subscription controls to support reproducible analytics and provenance for clinical and observational data. Operational scope targeted the US R&D organization, supporting clinical operations and research analytics teams focused on trial enrollment and real world evidence studies. The deployment connected dataset delivery into downstream analytics pipelines and relied on AWS native identity and access controls for entitlement and governance of dataset access. Governance introduced catalog stewardship, dataset onboarding service level agreements, and data lineage practices to enable master data consolidation and MDM like functions for research and clinical data across R&D. Moderna reported about 70% faster data extraction and a three day onboarding timeline after standardizing on Amazon Data Exchange. |
Buyer Intent: Companies Evaluating Amazon Data Exchange
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