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Through the GS1 US® + Snowflake partnership, organizations can access brand, product, and company identifier data available through GS1 US Data Hub® directly within the Snowflake Marketplace, supporting analytics and insights at scale. This may help organizations reduce manual data integration effort and accelerate time to insight by working with standardized identifiers directly within their analytics environment.
GS1 US is the source of globally recognized identifiers such as Global Trade Item Numbers (GTINs), UPCs, and GS1 Company Prefix licenses used across global commerce. The GS1 US Data Hub marketplace listing on Snowflake is the gateway for bringing trusted product and company identity data directly into your Snowflake environment.
The datasets available through the GS1 US Data Hub listing in Snowflake Marketplace via Secure Data Sharing may include:
- GS1 US Product Data
- GS1 Global Product Registry Data
- GS1 US Company License Data
Together, these datasets provide instant access to hundreds of millions of verified products and company records through Snowflake Secure Data Sharing. The data is sourced directly from GS1-licensed companies and brand owners and refreshed regularly to support trusted analytics, reporting, and AI initiatives. -
Trusted Product and Company Identity
GS1 US Data Hub delivers standardized, structured product and company data created and maintained by participating brand owners, including GS1® identifiers such as GTINs, UPCs, and GS1 US Company Prefix licenses. This may help reduce ambiguity and duplication in product data, supporting more consistent matching and analysis across systems.
What Organizations Can Do With GS1 Data in Snowflake:
Source GS1 identifiers such as GTINs and GS1 Company Prefix license information to help validate product catalogs and reduce ambiguity across datasets.
Close Attribution Gaps
Use standardized product and company identity data to help align internal, partner, and third-party datasets and support improved data reconciliation.
Support Regulatory Analysis
Analyze transactions against standardized product identifiers and classifications to support internal regulatory analysis, such as SNAP eligibility or food classification requirements.
Power Analytics and AI
Join GS1 US product and company identity data with enterprise datasets in the Snowflake AI Data Cloud to support analytics, reporting, and AI workflows built on consistent identifiers.
Analyze at Scale
Query tens of thousands of GTINs and related attributes directly in Snowflake to support reporting, analytics, and insight generation—without manual exports or spreadsheets.
Work Where Data Teams Operate
Leverage GS1 US Data Hub through Snowflake for enterprise-scale analytics, and access a trusted source of truth for standardized product and company identity data.
Primary use cases may include data validation, attribution alignment, master data management (MDM) enrichment, analytics, and regulatory analysis.
Note: GS1 US enables standardized data sharing and access to brand-sourced data. GS1 US does not populate or validate every possible attribute for every product; Participating brands control the data they provide
GS1 US API + Snowflake = Enhanced Efficiency
Add a GS1 US Data Hub API today so that you can work more efficiently through the benefits provided by Snowflake + a GS1 US API.
For advanced users, Snowflake can enable:
- Large-scale querying across GS1 US and enterprise datasets
- Advanced analytics that go beyond limited search and exports
- Large-scale data validation and analysis of 800m+ records
- Analytics, reporting, and AI and data science workflows
GS1 US APIs enable real‑time validation, system‑to‑system integrations, operational workflows, and application development using standardized product and company identity data. Snowflake may complement these capabilities by supporting bulk analysis, deeper exploration, and advanced analytics, AI, and reporting use cases at scale.
Snowflake helps you analyze GS1 data at a scale. The GS1 Data Hub API helps you operationalize data in applications, workflows, and business processes. Many organizations use both—Snowflake for analytics and AI and APIs for real-time integrations.
Steps to Get Started
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Step 1
Explore GS1 US on the Snowflake Marketplace
Review the available datasets, attributes, and sample records available through the Snowflake Marketplace.
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Step 2
Confirm Your GS1 US Data Hub Subscription
Access to GS1 US data in Snowflake requires a GS1 US Data Hub subscription. GS1 US can help confirm which subscription or API add‑ons align with your analytics and data needs.
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Step 3
Enable Access Through the Partnership
GS1 US can enable Snowflake access through the partnership. Once enabled, GS1 US Data Hub data becomes available within your Snowflake environment for enterprise‑scale querying and analysis.
Frequently Asked Questions
No. GS1 US data is intended to complement, not replace, existing systems. Members typically use GS1 data to validate, enrich, or harmonize product data already stored in MDM, ERP, commerce, or analytics platforms.
Yes. One of the key benefits of accessing GS1 US data through Snowflake Marketplace is the ability to securely join it within Snowflake with your internal, partner, or third-party data using consistent identifiers such as GTINs and GLNs.
Snowflake Marketplace access is primarily designed for analytics, reporting, and large‑scale data analysis. While Snowflake can support querying and accessing data within the platform, GS1 US APIs are generally the preferred option for real‑time, transactional, or operational workflows such as system‑to‑system integrations and application-driven processes.
Access to GS1 US data depends on your Snowflake Marketplace subscription and GS1 US offerings. Licensing requirements can vary based on how the data is used, shared, or integrated, and GS1 US can help determine the appropriate option for your use case.
Yes. Snowflake’s governed access controls allow organizations to securely share GS1 US data across teams, business units, or departments while maintaining oversight and compliance.
No. While retailers and marketplaces commonly use GS1 US data, manufacturers, distributors, solution providers, and data teams across industries, including healthcare and manufacturing—also use it for analytics, validation, and operational improvement.
AI and machine learning models depend on clean, consistent data. GS1 US data provides standardized identifiers and attributes that help reduce duplication, ambiguity, and noise—resulting in more reliable features, training data, and model outputs when used within Snowflake’s AI Data Cloud
By leveraging GS1 US data in Snowflake, organizations can help enable more effective AI workflows and take advantage of ready-to-use capabilities, including Snowflake Cortex features, to support a range of AI and machine learning use cases.
For Snowflake Marketplace access, minimal technical effort is required beyond Snowflake onboarding. For API‑driven use cases, some development resources may be needed. GS1 US can help guide members to the right option based on their technical capabilities and goals.
Note: GS1 US enables standardized data sharing and access to brand-sourced data. GS1 US does not populate or validate every possible attribute for every product; Participating brands control the data they provide.