Companies that use Snowflake (filter by AWS, Azure or GCP)

We dug into our own data to find which companies are using Snowflake in production. Here are real-world examples of how they use it.

Cummins

Industrial Manufacturing - Columbus, Indiana

Cummins makes diesel engines, power generators, and filtration systems. They're over 100 years old, operate in 190 countries, and have around 52,000 employees.

Cummins uses Snowflake on Azure as the central warehouse for their entire business. They pull data in from Oracle EBS (orders and manufacturing), SAP, Salesforce, Kinaxis (supply chain), and other systems - and land it all in Snowflake. From there, they run Power BI dashboards covering order tracking, inventory, sales performance, and supply chain health across their global operations.

Before this, that data lived in separate systems that couldn't talk to each other. Cummins used to have to go to each system individually to get answers. Now they have one place where they can see what's happening across the business.

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Johnson & Johnson

Healthcare & Pharmaceuticals - New Brunswick, New Jersey

Johnson & Johnson is one of the largest healthcare companies in the world, with around 119,000 employees across pharmaceuticals, medical devices, and consumer health products.

Snowflake shows up in two very different parts of the business. On the commercial side, it pulls together data from Salesforce, pharmacy dispensing systems, and other sources into dashboards that track how products like their immunology and cardiovascular medicines are performing in the market.

The more unusual use is in drug discovery. Running experiments to find new medicines generates enormous amounts of biological data - measuring how thousands of genes and proteins behave across different cell types and conditions. That data flows from lab instruments and cloud storage into Snowflake, where it gets standardized and organized so it can actually be analyzed at scale. The goal is to make this data AI-ready - structured well enough that machine learning models can use it to help identify potential drug candidates faster.

Most companies use Snowflake for business reporting. J&J is also using it as infrastructure for pharmaceutical research.

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Carvana

Automotive Retail - Tempe, Arizona

Carvana is the online-only used car retailer known for its vending machine car towers. They went from founding to Fortune 500 in eight years and have sold over 4 million cars. Despite being a car company, they operate more like a tech company - everything from buying to financing to delivery is built and run in-house.

Snowflake is Carvana's central data warehouse, and it touches almost every part of the business. Their data science team builds credit risk models that decide whether to approve car loans. Their production analytics team runs models that predict how long it will take to recondition each vehicle at their inspection facilities - and how much it will cost. Their finance, operations, and inventory teams all query Snowflake directly for dashboards and analysis.

They're also actively migrating legacy data pipelines from SQL Server into Snowflake, converting old code to run natively on the platform.

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Autodesk

Software - San Francisco, California

Autodesk makes the design software used across architecture, engineering, construction, and manufacturing - AutoCAD, Revit, Fusion, Maya, and dozens of others.

Snowflake shows up in three distinct places at Autodesk. Their Customer Success organization has built Snowflake as their core data warehouse - using dbt to model the data and Airflow to orchestrate pipelines - specifically to track how customers use Autodesk's products, spot early signs of churn, and decide which accounts need attention.

Finance teams use it for revenue analytics and planning - tracking ARR, churn, renewals, and bookings across products and regions, feeding into executive dashboards and forecasting models. And their engineering teams use Snowflake to expose product telemetry data, letting analysts query how features inside tools like Fusion are actually being used by customers in the field.

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Michael Kors

Luxury Fashion - East Rutherford, New Jersey

Michael Kors is part of Capri Holdings, the luxury fashion group that also owns Versace and Jimmy Choo. The brands sell through a mix of their own stores, department stores, and e-commerce globally.

Snowflake on AWS is their central data warehouse, sitting at the core of Capri's Global Data Platform. Data flows in from retail stores, wholesale accounts, e-commerce, and customer systems across all three brands, and is used for business intelligence, operational reporting, and customer analytics. The intent from the start was to build one shared platform that all the Capri brands could run on, rather than each brand maintaining its own separate data infrastructure.

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Danone

Food & Beverage - Paris, France

Danone makes yogurt, baby formula, plant-based drinks, and water brands (Activia, Alpro, Evian, Nutricia, and others) sold in 120 countries.

Snowflake is part of Danone's standard global data platform alongside Azure and Databricks. Their Revenue Growth Management team in the US uses it for pricing analytics. Their internal audit team in Paris queries it to monitor financial controls across all Danone entities globally. Their EU supply chain team in the Netherlands uses it for logistics and inventory modeling. And their R&I team outside Paris uses it for data pipelines supporting nutritional research.

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Chewy

Pet Retail & E-commerce - Plantation, Florida

Chewy is an online pet retailer selling food, supplies, medications, and vet services. They launched in 2011 and now serve millions of pet owners across the US, with a pharmacy and healthcare business that has grown significantly in recent years.

Snowflake is Chewy's central data warehouse, used across basically every part of the business. They use it to track how prescriptions move through their pharmacy fulfillment process, measure how customers find and discover products on the site, monitor advertising performance across their retail media network, analyze which private-label products are selling and at what margin, and run supply chain and inventory planning. Finance teams query it directly for budgeting and to audit vendor payments.

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Aramark

Food & Facilities Services - Philadelphia, Pennsylvania

Aramark handles food service, facilities management, and uniforms for stadiums, hospitals, universities, and corporate campuses across 15 countries. They run the concessions at places like Fenway Park and Oracle Park, and provide food and environmental services to major hospital systems.

At their sports and entertainment venues, Snowflake is where all the point-of-sale, purchasing, and inventory data lands. The interesting application is that Aramark has analysts embedded at individual stadiums - Fenway Park, Oracle Park, NRG Park - who query that data to figure out what fans are buying, when they're buying it, and how to optimize what gets stocked and sold at each event. It's a genuinely specific use of data analytics: understanding concession behavior game by game.

On the enterprise side, their Avendra procurement subsidiary - which handles purchasing and supplier contracts for hospitality clients - uses Snowflake as the primary platform for supplier billing data, financial reporting, and purchasing analytics. The facilities management side uses it for operational performance tracking across their building services contracts.

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Ally Financial

Financial Services - Charlotte, North Carolina

Ally started as GMAC - General Motors' auto financing arm - and was redesigned as an independent digital bank in 2009. Today it's one of the larger online-only banks in the US, with auto loans, savings accounts, mortgages, investing, and insurance products.

Snowflake is Ally's enterprise data warehouse, used across their auto finance, consumer banking, insurance, and marketing operations. On the auto finance side, it powers credit risk models that help decide who gets approved for a car loan and at what rate, and tracks loan performance and delinquency across their portfolio. Marketing uses it to build targeted customer audiences for email and direct mail campaigns. Their insurance business uses it for sales performance reporting. And their internal audit function uses it to run analytics that support compliance testing and control monitoring.

Being a regulated financial institution makes the data story more interesting than usual - everything from credit decisions to customer complaints to audit trails has to be tracked, documented, and defensible to regulators. Snowflake sits underneath all of that at Ally, with a dedicated data governance program ensuring the data is well-documented and compliant across all those use cases.

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GSK

Pharmaceuticals - London, United Kingdom

GSK is one of the largest pharmaceutical companies in the world, making vaccines, specialty medicines, and general medicines. They focus on infectious diseases, HIV, respiratory, immunology, and oncology. Around 70,000 employees, products sold in over 150 countries.

GSK uses Snowflake in two distinct and genuinely interesting ways. On the commercial side, their oncology and market access teams use it to analyze real-world patient data - prescription records, insurance claims, specialty pharmacy data - to understand how their drugs are actually being used in the field. This feeds into decisions about which doctors to focus on, how to price products, and how well treatments are working for patients outside of clinical trials.

The more unusual use case is in drug safety. Pharmaceutical companies are legally required to collect and report adverse events - any harm a patient experiences that might be related to a drug. At GSK's scale this means processing an enormous volume of safety reports from around the world. Snowflake sits in their drug safety data platform, and they're building AI on top of it to automate the analysis of these reports, which has historically been a very manual, labor-intensive process. Getting that right matters: regulators like the FDA and EMA scrutinize this data closely, and delays or errors in safety reporting have serious consequences.

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Apple

Technology - Cupertino, California

Apple is... well, you probably know who Apple is.

Apple runs a dedicated internal data platform called AiDP - AI & Data Platforms - and Snowflake is a core part of it. The use is broad across the company: AppleCare uses it to track how customers move through support channels and analyze service quality at scale; Apple Ads uses it for marketplace analytics, advertiser performance, and A/B experiments across App Store and Apple News; Retail uses it for store analytics around product launches and operational performance; Marcom uses it for outbound marketing analytics across Apple TV+, Music, and Arcade; and the Apple Pay and Wallet teams use it for transactional and behavioral data pipelines.

What makes this notable is the company. Apple famously builds its own infrastructure and keeps its technology stack internal. The fact that Snowflake shows up across this many distinct business units - support, advertising, retail, marketing, payments - suggests it's embedded in Apple's enterprise analytics layer in a way that internal-build alternatives haven't displaced.

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FactSet

Financial Data & Analytics - Norwalk, Connecticut

FactSet is a financial data and analytics company that serves investment professionals - portfolio managers, analysts, traders, and their firms. They sell access to market data, company financials, economic data, and analytics tools.

What makes FactSet's Snowflake use unusual is that they're not just using it for internal analytics - they use it as a product delivery channel. Through their Cloud & Managed Services offering, FactSet delivers financial data feeds directly into clients' own Snowflake environments. A client's data team can query FactSet's market data, company financials, and other feeds right from inside their own Snowflake account, without having to build separate data pipelines or integrations. FactSet has described this as an area of significant growth potential for their feeds business.

Internally, FactSet also uses Snowflake for their own data operations and analytics. But the client-facing delivery angle is what stands out - it's a case where Snowflake becomes the distribution mechanism for a data product, not just the warehouse behind it.