List of Snowflake Data Warehouse Customers
Snowflake
106 East Babcock Street Suite 3A,
Bozeman, 59715, MT,
United States
Bozeman, 59715, MT,
United States
1 844-766-9355
Professional Services
7834
$4.7B
Since 2010, our global team of researchers has been studying Snowflake Data Warehouse 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 Snowflake Data Warehouse for Data Warehouse 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 Snowflake Data Warehouse for Data Warehouse include: McKesson, a United States based Professional Services organisation with 45000 employees and revenues of $400.00 billion, Cardinal Health, a United States based Healthcare organisation with 53084 employees and revenues of $222.58 billion, Electricity of France, a France based Utilities organisation with 171862 employees and revenues of $151.00 billion, Allianz, a Germany based Banking and Financial Services organisation with 156626 employees and revenues of $140.34 billion, Comcast, a United States based Communications organisation with 182000 employees and revenues of $123.73 billion and many others.
Contact us if you need a completed and verified list of companies using Snowflake Data Warehouse, 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 Snowflake Data Warehouse 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!
Apply Filters For Customers
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
|---|---|---|---|---|---|---|---|---|---|---|---|
 |
1-800-FLOWERS.COM,INC | Retail | 4700 | $2.2B | United States | Snowflake | Snowflake Data Warehouse | Data Warehouse | 2021 | n/a |
In 2021, 1-800-FLOWERS.COM,INC implemented Snowflake Data Warehouse to create a centralized analytics platform for enterprise reporting and retail analytics. The Snowflake Data Warehouse deployment positioned a cloud-native Data Warehouse as the primary data layer to consolidate transactional and behavioral data for merchandising, marketing, operations, and finance analytics.
The implementation used Snowflake Data Warehouse capabilities typical of the category, including separated storage and compute for scalable query processing, SQL-based analytics, support for semi-structured data ingestion, and ELT style transformation workflows. Functional modules and capabilities implemented included centralized data storage, query processing and optimization, data ingestion pipelines, and governed access for BI consumption and self-service analytics.
Operational scope focused on cross-functional analytics consumption, with governance and role-based access control to manage data access and stewardship across business units. Snowflake lists 1-800-FLOWERS.COM,INC as a customer on its website, confirming the vendor relationship and public customer attribution.
|
 |
8fit part of Withings | Professional Services | 15 | $2M | Germany | Snowflake | Snowflake Data Warehouse | Data Warehouse | 2020 | n/a |
In 2020, 8fit part of Withings implemented Snowflake Data Warehouse to accelerate time to insight for business intelligence users and to support increased demand for Looker reports across the company. The Snowflake Data Warehouse deployment was targeted at stakeholders in marketing, product, engineering, and finance, with the explicit goal of reducing reporting delays and enabling richer personalization analytics for the mobile app.
The implementation leveraged Snowflake’s multi-cluster shared data architecture and separate storage and compute model to enable concurrent querying and to eliminate the need for cluster tuning. Snowflake Data Warehouse was configured as the central source of truth with native support for semi-structured data and bulk loading, allowing the data team to consolidate event and relationship data into a single, cloud-built data warehouse with near-zero management overhead.
Integrations included Amazon S3 as the primary landing zone, with an external stage created to load Braze event data directly into Snowflake, and Snowflake powering all Looker reports to deliver on-demand business intelligence reporting. This integration pattern simplified 8fit’s data pipeline, reduced glue code, and supported cross-functional analytics workflows used by product, marketing, engineering, and finance teams.
Governance and pipeline evolution focused on centralized data access and future secure data sharing, with Snowflake Secure Data Sharing planned to reduce iteration cycles and simplify onboarding of new sources instead of dumping raw data into S3. Outcomes reported by the data team include on-demand BI reporting without delay, improved query performance for a fraction of the cost, and a consolidated Data Warehouse that enables faster stakeholder decision making.
|
 |
Acxiom | Professional Services | 3650 | $650M | United States | Snowflake | Snowflake Data Warehouse | Data Warehouse | 2021 | n/a |
In 2021, Acxiom implemented Snowflake Data Warehouse as a Data Warehouse to centralize customer data management and enable people based marketing across its services business. The Snowflake Data Warehouse deployment was positioned as a cloud native Data Cloud architecture, with the full product name Snowflake Data Warehouse used to simplify infrastructure and provide a single platform for analytics and secure data sharing.
The implementation emphasized functional capabilities common to the Data Warehouse category, including secure data sharing for internal teams and customers, consolidation to break down data silos, and support for rapid customer onboarding workflows. Acxiom leveraged Snowflake Data Marketplace functionality to identify new business opportunities and to extend data access beyond core analytics, and the Snowflake Data Warehouse environment supported identity and customer data management use cases.
Operational coverage focused on marketing, customer onboarding, and data management teams, connecting systems and data to improve customer experience and to enable brands to better connect with people. Integrations were oriented around secure sharing channels and open connectivity between internal teams and external customers rather than named point to point systems.
Governance and process orientation reflected Acxiom leadership emphasis on the ethical use of data and a simple open approach to connecting systems and data, with rollout patterns described as enabling accelerated onboarding and improved customer experience. Outcomes called out by Acxiom include simplified infrastructure, reduced data silos, faster customer onboarding, and identification of new business opportunities through Snowflake Data Marketplace.
|
 |
Adobe | Professional Services | 31360 | $23.8B | United States | Snowflake | Snowflake Data Warehouse | Data Warehouse | 2020 | n/a |
In 2020, Adobe implemented Snowflake Data Warehouse, establishing a cloud-native Data Warehouse platform to centralize analytics and reporting. The Snowflake Data Warehouse deployment was positioned to provide a single source of truth for enterprise data consumption, supporting Adobe's data engineering and analytics functions across its professional services operations.
The implementation leveraged core Data Warehouse capabilities such as elastic compute and storage separation, ANSI SQL processing, native support for semi-structured data, and data sharing constructs. Configuration emphasized ELT-oriented ingestion, centralized SQL-based transformation, and workload isolation to accommodate concurrent analytics and BI workloads.
Operational integrations focused on ingest pipelines, cloud object storage, and front-end analytics and reporting stacks without naming individual tools. The Snowflake Data Warehouse served as a platform for analytics, data science, and operational reporting, enabling standardized data models and governed access for marketing, finance, and product analytics teams.
Governance and operational discipline were implemented alongside the platform, including role-based access controls, centralized account and resource management, and data cataloging patterns typical for enterprise Data Warehouse deployments. The implementation narrative reflects an enterprise-scale Snowflake Data Warehouse adoption at Adobe, intended to standardize data access and analytics workflows across business functions.
|
 |
Aflac | Insurance | 12785 | $18.8B | United States | Snowflake | Snowflake Data Warehouse | Data Warehouse | 2020 | n/a |
In 2020, Aflac Global Investments implemented Snowflake Data Warehouse as its primary Data Warehouse platform, using the Snowflake Data Cloud to future proof investment analytics and portfolio decision support. The deployment positioned Snowflake Data Warehouse as a single enterprise data layer for the asset manager within Aflac Incorporated, with an emphasis on scalable analytic workloads and high concurrency.
Aflac GI built a Snowflake data lake using a Data Vault modeling approach to consolidate market and operational data from all systems since inception. The environment was configured to retain all scenario outputs, capturing more than 300 million data points per model run, and to support analytic workloads with Snowflake clustering technology to enable high concurrency and performant queries.
The implementation runs on Snowflake Data Cloud on AWS and Aflac migrated its investment applications to consume the Snowflake data lake as the single source of truth. Operational coverage includes global investment teams in New York and Japan, with teams querying the same consolidated data store for data engineering, data science, and portfolio analysis workflows.
Governance and operational support were formalized through the Data Vault schema and centralized data stewardship, along with regular engagement with Snowflake support and a Resident Solutions Architect shared across business groups. Aflac GI also plans to use Snowflake Secure Data Sharing to exchange governed datasets with external partners, reducing the need for manual data movement and changing the operational model for external data exchange.
Results reported by Aflac GI include reducing model run times from one to seven hours to approximately 12 minutes, supporting up to 8,000 concurrent processes, and the ability to retain all scenario results with near no limit. The company also reports at least 50% savings in total cost on database software and infrastructure after consolidating onto Snowflake.
|
 |
|
Education | 500 | $80M | United States | Snowflake | Snowflake Data Warehouse | Data Warehouse | 2020 | n/a |
|
|
|
|
Banking and Financial Services | 370 | $105M | Malaysia | Snowflake | Snowflake Data Warehouse | Data Warehouse | 2022 | n/a |
|
|
|
|
Professional Services | 10700 | $4.0B | United States | Snowflake | Snowflake Data Warehouse | Data Warehouse | 2020 | n/a |
|
|
|
|
Banking and Financial Services | 982 | $300M | Finland | Snowflake | Snowflake Data Warehouse | Data Warehouse | 2020 | n/a |
|
|
|
|
Retail | 280000 | $80.4B | United States | Snowflake | Snowflake Data Warehouse | Data Warehouse | 2019 | n/a |
|
Showing 1 to 10 of 309 entries
Buyer Intent: Companies Evaluating Snowflake Data Warehouse
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Snowflake Data Warehouse. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Snowflake Data Warehouse for Data Warehouse include:
- Grant & Eisenhofer, a United States based Professional Services organization with 168 Employees
- Metrocom Costa Rica, a Costa Rica based Communications company with 100 Employees
- Cwsi, a Ireland based Professional Services organization with 100 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||
FAQ - APPS RUN THE WORLD Snowflake Data Warehouse Coverage
Snowflake Data Warehouse is a Data Warehouse solution from Snowflake.
Companies worldwide use Snowflake Data Warehouse, from small firms to large enterprises across 21+ industries.
Organizations such as McKesson, Cardinal Health, Electricity of France, Allianz and Comcast are recorded users of
Snowflake Data Warehouse for Data Warehouse.
Companies using Snowflake Data Warehouse are most concentrated in Professional Services, Healthcare and Utilities, with adoption spanning over 21 industries.
Companies using Snowflake Data Warehouse are most concentrated in United States, France and Germany, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Snowflake Data Warehouse across Americas, EMEA, and APAC.
Companies using Snowflake Data Warehouse range from small businesses with 0-100 employees - 11.33%, to mid-sized firms with 101-1,000 employees - 26.86%, large organizations with 1,001-10,000 employees - 36.25%, and global enterprises with 10,000+ employees - 25.57%.
Customers of Snowflake Data Warehouse 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 Snowflake Data Warehouse customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Data Warehouse.