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  3. HPE Data Fabric Software
Logo of HPE Data Fabric Software

HPE Data Fabric Software

byHewlett Packard Enterprise (HPE)
in
4.0
Market Presence: Hadoop Distributions, Hybrid Cloud Storage

Overview

Product Information on HPE Data Fabric Software

Updated 13th October 2025

What is HPE Data Fabric Software?

HPE Data Fabric Software is a data platform software designed to enable organizations to manage, access, and analyze large-scale data across hybrid and multicloud environments. The software provides features such as data storage, data integration, and real-time data streaming, supporting both structured and unstructured data. It offers unified data access, support for various analytics tools, and capabilities for data governance and security. By facilitating the seamless movement and management of data, the software addresses challenges related to managing diverse data types, enabling organizations to derive insights and build data-driven applications while maintaining data consistency and control across distributed infrastructures.

HPE Data Fabric Software Pricing

HPE Data Fabric Software uses a subscription-based pricing model where costs are determined by factors such as the number of nodes, capacity, and specific capabilities needed. The software typically offers options for annual or multi-year terms, with different tiers based on enterprise requirements and deployment scale.

Overall experience with HPE Data Fabric Software

SOLUTIONS ARCHITECT
30B + USD, Real Estate
FAVORABLE

“Unified Global Namespace Reduces Data Silos but Setup Remains Complex”

4.0
Sep 9, 2025
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.
Sr Data Engineer
<50M USD, Services (non-Government)
CRITICAL

“MapR product is great, but need to improve stability and more efficient technical support.”

3.0
Oct 2, 2018
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.

About Company

Company Description

Updated 8th January 2024

Hewlett Packard Enterprise, known as a global edge-to-cloud company, concentrates on a range of technology and innovation services to connect, protect, analyze, and act on all data and applications wherever they live, from edge to cloud, focusing on addressing business challenges through technology.

Company Details

Updated 26th February 2025
Company type
Public
Year Founded
2015
Head office location
Houston, United States
Number of employees
10001+
Annual Revenue
10B-30B USD
Website
http://www.hpe.com

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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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Peer Discussions

HPE Data Fabric Software Reviews and Ratings

4.0

(38 Ratings)

Rating Distribution

5 Star
45%
4 Star
47%
3 Star
5%
2 Star
3%
1 Star
0%
Why ratings and reviews count differ?
  • SOLUTIONS ARCHITECT
    10B+ USD
    Real Estate
    Review Source

    Unified Global Namespace Reduces Data Silos but Setup Remains Complex

    4.0
    Sep 9, 2025
    Unified data access with great performance has been transformative for our data management strategy
  • SOLUTIONS ARCHITECT
    10B+ USD
    Real Estate
    Review Source

    Unified Global Namespace Reduces Data Silos but Setup Remains Complex

    4.0
    Sep 9, 2025
    Unified data access with great performance has been transformative for our data management strategy
  • Read All 34 Reviews

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Performance of HPE Data Fabric Software Across Market Features

HPE Data Fabric Software Likes & Dislikes

Like

The unified global namespace is a standout feature that eliminates data silos by ingesting data in the form of files, objects, streams and tables into one logical data plane. The multi protocol support allow our diverse set of applications and tools to access the same data without complex and brittle data movement or format conversions which improves both efficiency and data consistency

Like

The unified global namespace is a standout feature that eliminates data silos by ingesting data in the form of files, objects, streams and tables into one logical data plane. The multi protocol support allow our diverse set of applications and tools to access the same data without complex and brittle data movement or format conversions which improves both efficiency and data consistency

Like

The unified global namespace is a standout feature that eliminates data silos by ingesting data in the form of files, objects, streams and tables into one logical data plane. The multi protocol support allow our diverse set of applications and tools to access the same data without complex and brittle data movement or format conversions which improves both efficiency and data consistency

Dislike

1. Third party tools which support hdfs have to recompile to use on maprfs. Maprfs is totally not compatible with hdfs. I cannot understand. MapR can easily update the code to let hdfs path automatically be recognized as maprfs, but I don't know why mapr tries to discourage users to use tools which was developed only for hdfs. 2. Maprfs mount sometimes can become really slow, admin team has to reboot to resolve the issue. 3. The upgrade process has too many manual process. MapR can simplify it. 4. Overall the MapR streaming and MapRDB products are too expensive.

Dislike

1. Third party tools which support hdfs have to recompile to use on maprfs. Maprfs is totally not compatible with hdfs. I cannot understand. MapR can easily update the code to let hdfs path automatically be recognized as maprfs, but I don't know why mapr tries to discourage users to use tools which was developed only for hdfs. 2. Maprfs mount sometimes can become really slow, admin team has to reboot to resolve the issue. 3. The upgrade process has too many manual process. MapR can simplify it. 4. Overall the MapR streaming and MapRDB products are too expensive.

Dislike

1. Third party tools which support hdfs have to recompile to use on maprfs. Maprfs is totally not compatible with hdfs. I cannot understand. MapR can easily update the code to let hdfs path automatically be recognized as maprfs, but I don't know why mapr tries to discourage users to use tools which was developed only for hdfs. 2. Maprfs mount sometimes can become really slow, admin team has to reboot to resolve the issue. 3. The upgrade process has too many manual process. MapR can simplify it. 4. Overall the MapR streaming and MapRDB products are too expensive.

Reviewer Insights for: HPE Data Fabric Software