List of HPE Ezmeral Data Fabric Customers

Hewlett Packard Enterprise Company
Location
1701 East Mossy Oaks Road,
Spring, 77389, TX,
United States
Website
https://www.hpe.com/
Phone
1 678-259-9860
Artw industry
Manufacturing
Employee
61000
Revenue
$30.1B

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: DATEV, a Germany based Professional Services organisation with 8900 employees and revenues of $1.57 billion 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 Old Product New Product Category When SI
DATEV Professional Services 8900 $1.6B Germany Hewlett Packard Enterprise Legacy HPE Ezmeral Data Fabric ML and Data Science Platforms 2019 n/a
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Buyer Intent: Companies Evaluating HPE Ezmeral Data Fabric

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating HPE Ezmeral Data Fabric. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating HPE Ezmeral Data Fabric for ML and Data Science Platforms include:

  1. Hanwha Engineering & Construction, a South Korea based Construction and Real Estate organization with 1000 Employees
  2. Metropolitan Electricity Authority, a Thailand based Utilities company with 10596 Employees

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FAQ - APPS RUN THE WORLD HPE Ezmeral Data Fabric Coverage

HPE Ezmeral Data Fabric is a ML and Data Science Platforms solution from Hewlett Packard Enterprise.

Companies worldwide use HPE Ezmeral Data Fabric, from small firms to large enterprises across 21+ industries.

Organizations such as DATEV are recorded users of HPE Ezmeral Data Fabric for ML and Data Science Platforms.

Companies using HPE Ezmeral Data Fabric are most concentrated in Professional Services, with adoption spanning over 21 industries.

Companies using HPE Ezmeral Data Fabric are most concentrated in Germany, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of HPE Ezmeral Data Fabric across Americas, EMEA, and APAC.

Companies using HPE Ezmeral Data Fabric range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 100%, and global enterprises with 10,000+ employees - 0%.

Customers of HPE Ezmeral Data Fabric 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 HPE Ezmeral Data Fabric customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of ML and Data Science Platforms.