List of Dremio Cloud Customers
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Since 2010, our global team of researchers has been studying Dremio Cloud 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 Dremio Cloud 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 Dremio Cloud for Data Warehouse include: Henkel, a Germany based Consumer Packaged Goods organisation with 53000 employees and revenues of $23.00 billion, TransUnion, a United States based Professional Services organisation with 13200 employees and revenues of $3.83 billion, NewDay, a United Kingdom based Banking and Financial Services organisation with 1200 employees and revenues of $350.0 million and many others.
Contact us if you need a completed and verified list of companies using Dremio Cloud, 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.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Henkel | Consumer Packaged Goods | 53000 | $23.0B | Germany | Dremio | Dremio Cloud | Data Warehouse | 2019 | n/a |
In 2019, Henkel implemented Dremio Cloud as a Data Warehouse solution for its Laundry & Home Care division to accelerate supply chain analytics. The deployment targeted manufacturing and supply chain functions across EMEA and global plants, with a focus on plant level visibility and operational reporting.
The implementation used a cloud native architecture that combined Azure Data Lake Storage for consolidated raw data storage, Databricks for processing and transformation, and Dremio Cloud as a query acceleration and semantic dataset virtualization layer to support self service analytics. Tableau was used for visualization and operational dashboards, creating an analytics pipeline from processed data to business facing reports.
Integrations explicitly included Azure Data Lake Storage, Databricks, and Tableau to support analytics workflows from telemetry and transactional inputs through transformation and visualization. Operational coverage spanned manufacturing operations, supply chain planning, and plant operations teams across global sites.
Henkel reported reducing query times from minutes to about 8 seconds and improving production visibility and overall equipment effectiveness by over 10 percent across global plants. The public case study links these improvements to the cloud native ADLS and Dremio architecture and highlights supply chain analytics acceleration as the primary business function impacted.
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NewDay | Banking and Financial Services | 1200 | $350M | United Kingdom | Dremio | Dremio Cloud | Data Warehouse | 2021 | n/a |
In 2021 NewDay implemented Dremio Cloud to modernize its AWS based analytics platform. The Dremio Cloud deployment functions as a Data Warehouse providing self service access to datasets stored on Amazon S3 for business users and data scientists supporting consumer finance operations in the United Kingdom.
The architecture centers on a cloud native S3 plus Dremio topology, configured to expose SQL query endpoints and accelerate ad hoc queries through query acceleration and data virtualization capabilities. The implementation focused on enabling interactive analytics and reducing query latency from hours to seconds, with datasets served directly from S3 rather than via a third party hosted warehouse solution. Configuration work included dataset provisioning and cataloging to support repeatable analytics workflows for analysts and data science teams.
Operational coverage targeted business intelligence and data science groups within NewDay's consumer finance functions across the UK. Integrations emphasized direct access to Amazon S3 storage and other AWS services to provide governed, high throughput access to lake stored data for reporting and model development.
Governance and process changes centralized data access patterns and promoted self service SQL workflows, moving analysts away from dependence on third party hosted warehouse tools. Vendor materials describe the cloud native S3 plus Dremio approach and NewDay's deployment reduced reliance on third party hosted warehouse solutions while cutting query times from hours to seconds, with Dremio Cloud serving as the Data Warehouse for analytics and reporting.
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TransUnion | Professional Services | 13200 | $3.8B | United States | Dremio | Dremio Cloud | Data Warehouse | 2022 | n/a |
In 2022, TransUnion implemented Dremio Cloud in a Data Warehouse role as a unified query engine and foundation for a global data mesh, providing secure, governed self-service analytics. The deployment targeted analytics for data scientists, analysts and external customers focused on financial services and credit risk.
The implementation configured Dremio Cloud to deliver dataset cataloging, query acceleration and data virtualization across multi-cloud and hybrid environments, enabling federated access to distributed data without centralized ingestion. Functional capabilities emphasized included a centralized dataset catalog, policy driven access controls and SQL based self service query tooling to support analytical workflows and model development.
Operational scope covered global credit risk analytics teams and external consumption to support credit scoring models, with governance organized around curated datasets, policy enforcement and role based access to preserve auditability for regulated workflows. The implementation produced faster analytics and enabled enhanced credit scoring models that expanded access to millions of consumers.
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