List of HPE Ezmeral Data Fabric Customers
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Since 2010, our global team of researchers has been studying HPE Ezmeral Data Fabric 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 HPE Ezmeral Data Fabric for ML and Data Science Platforms 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 HPE Ezmeral Data Fabric for ML and Data Science Platforms include: Nomura, a Japan based Banking and Financial Services organisation with 27242 employees and revenues of $12.62 billion, Carestream, a United States based Healthcare organisation with 6100 employees and revenues of $2.50 billion, DATEV, a Germany based Professional Services organisation with 8900 employees and revenues of $1.57 billion, Alliant Cooperative Data Solutions, a United States based Professional Services organisation with 110 employees and revenues of $15.0 million and many others.
Contact us if you need a completed and verified list of companies using HPE Ezmeral Data Fabric, 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 HPE Ezmeral Data Fabric 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 |
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Alliant Cooperative Data Solutions | Professional Services | 110 | $15M | United States | Hewlett Packard Enterprise | HPE Ezmeral Data Fabric | ML and Data Science Platforms | 2023 | n/a |
In 2023 Alliant Cooperative Data Solutions implemented HPE Ezmeral Data Fabric. The deployment used HPE Ezmeral Data Fabric as part of its ML and Data Science Platforms strategy to scale audience creation and delivery for programmatic digital and television advertising.
The implementation centralized data fabric capabilities to optimize where data storage and analysis occurs, enabling higher throughput for audience processing pipelines and programmatic segmentation workflows. Functional capabilities emphasized by the deployment included scalable distributed storage, orchestration for large batch and streaming data processing, and support for analytics and model-driven audience generation consistent with ML and Data Science Platforms usage.
The US based implementation supported marketing and adtech processes, with operational coverage focused on programmatic digital and television advertising teams and audience operations. Architecture used a hybrid multi cloud oriented data fabric approach to control data locality and processing placement while leveraging a managed services SaaS consumption model.
Governance and rollout prioritized scaling audience processing capacity and operationalizing data placement policies, integrating the data fabric into existing audience delivery workflows. The managed services SaaS approach was used to reduce capital expenses as part of the deployment.
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Carestream | Healthcare | 6100 | $2.5B | United States | Hewlett Packard Enterprise | HPE Ezmeral Data Fabric | ML and Data Science Platforms | 2023 | n/a |
In 2023, Carestream implemented HPE Ezmeral Data Fabric as the platform foundation for an AI as a service capability supporting medical imaging and model development. The deployment used HPE Ezmeral Data Fabric to provide a scalable data plane and storage tier for healthcare imaging datasets within an ML and Data Science Platforms posture, enabling standardized access for analytics and training workflows.
The implementation combined HPE Ezmeral Data Fabric with managed open source ML tools to create an integrated environment for experiment orchestration, dataset versioning, and model development. HPE Ezmeral Data Fabric provided the persistent data layer and unified namespace while the managed open source components delivered model training, evaluation, and packaging capabilities typical of ML and Data Science Platforms.
Operationally the US based deployment focused on Carestream healthcare and medical imaging research and development, aligning data management and model development functions across imaging R&D teams. The scope centered on research workflows for imaging analytics, model training pipelines, and collaboration between data scientists and clinical engineers, with centralized data access to reduce fragmentation.
Governance was addressed through the platform level controls in HPE Ezmeral Data Fabric and the integrated ML toolchain, enabling traceable dataset access, model versioning, and standardized development workflows for regulatory sensitive medical imaging work. The effort reportedly reduced time to train machine learning models by 73 percent, a stated outcome tied to the combined use of HPE Ezmeral Data Fabric and managed open source ML tooling for model lifecycle acceleration.
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DATEV | Professional Services | 8900 | $1.6B | Germany | Hewlett Packard Enterprise | HPE Ezmeral Data Fabric | ML and Data Science Platforms | 2019 | n/a |
In 2019, DATEV eG implemented HPE Ezmeral Data Fabric as a core component of its ML and Data Science Platforms estate. The Platform Engineer Big Data is listed as the functional owner of the HPE Ezmeral Data Fabric instance within the Analytics and Machine Learning ecosystem in Nürnberg, and also served as co PM for the GPUaaS initiative.
The HPE Ezmeral Data Fabric instance was provisioned to provide unified data access, scale out storage, dataset provisioning and metadata management to support model training and analytics workflows. Configuration and platform engineering focused on cluster provisioning, lifecycle management, access control and operational support for analytics pipelines.
The deployment integrated with HPE Container Platform and included a Bitfusion TKGS proof of concept to enable GPUaaS for accelerated model training, aligning data fabric storage with containerized compute and GPU resource orchestration. Operational coverage centered on DATEV analytics and machine learning teams, with the functional owner responsible for day to day instance operations and coordination of GPU resource usage.
Governance followed a functional owner model with co PM oversight for the GPUaaS initiative, formalizing platform responsibilities for access governance, workload scheduling and platform level control of datasets. The implementation emphasized platform stewardship and operational ownership within the Analytics and Machine Learning ecosystem rather than application level change.
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Banking and Financial Services | 27242 | $12.6B | Japan | Hewlett Packard Enterprise | HPE Ezmeral Data Fabric | ML and Data Science Platforms | 2023 | n/a |
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Buyer Intent: Companies Evaluating HPE Ezmeral Data Fabric
- American Express, a United States based Banking and Financial Services organization with 75100 Employees
- Hanwha Engineering & Construction, a South Korea based Construction and Real Estate company with 1000 Employees
- Metropolitan Electricity Authority, a Thailand based Utilities organization with 10596 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
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