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HPE Data Fabric Reviews

Vendor: Hewlett Packard Enterprise
4.0 out of 5
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What is HPE Data Fabric?

Forward-leaning companies win market share because they leverage data more effectively than their competitors. Unlock the potential of your data assets with HPE Ezmeral Data Fabric (formerly MapR Data Platform). Empower your data science, analytics, and business teams by simplifying data management on a globally distributed scale. All with enterprise-grade reliability, security, and performance.

Get the HPE Data Fabric Buyer's Guide and find out what your peers are saying about HPE Data Fabric, Apache Spark, IBM Netezza Performance Server and more!
HPE Data Fabric is the #4 ranked solution in top Hadoop solutions. PeerSpot users give HPE Data Fabric an average rating of 8.0 out of 10. HPE Data Fabric is most commonly compared to Apache Spark: HPE Data Fabric vs Apache Spark. HPE Data Fabric is popular among the large enterprise segment, accounting for 60% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 18% of all views.
Buyer's Guide
HPE Data Fabric
March 2026
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Helped 884,933 peers since 2012

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HPE Data Fabric mindshare

As of March 2026, the mindshare of HPE Data Fabric in the Hadoop category stands at 13.5%, down from 14.9% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Hadoop Mindshare Distribution
ProductMindshare (%)
HPE Data Fabric13.5%
Cloudera Distribution for Hadoop14.1%
Apache Spark13.3%
Other59.099999999999994%
Hadoop

PeerResearch reports based on HPE Data Fabric reviews

TypeTitleDate
CategoryHadoopMar 26, 2026Download
ProductReviews, tips, and advice from real usersMar 26, 2026Download
ComparisonHPE Data Fabric vs Apache SparkMar 26, 2026Download
ComparisonHPE Data Fabric vs Cloudera Distribution for HadoopMar 26, 2026Download
ComparisonHPE Data Fabric vs Amazon EMRMar 26, 2026Download
Suggested products
TitleRatingMindshareRecommending
Apache Spark4.213.3%90%69 interviewsAdd to research
IBM Netezza Performance Server3.96.2%89%45 interviewsAdd to research
 
 
Key learnings from peers
Last updated Mar 26, 2026

Valuable Features

  • "My first choice is MapR, as it is more adaptable to different contexts, and it could be customized in some way to fit the different needs, and this is my first choice and my first advice to people who ask me about this particular platform."
  • "Outside of human error, MapR is probably the most stable of the major releases."
  • "Our customer purchased a paid support service and so far MapR has addressed our issues well."

Room for Improvement

  • "The interface part, what I'm calling the integration part, could be improved."
  • "One weakness for MapR is the Kerberos support."
  • "The biggest drawback is that it has vendor locking."

Pricing

  • "There is a need for my company to pay for the licensing costs of the solution."
  • "The tool's price is cheap and based on a usage basis. The solution's licensing costs are yearly and there are no extra costs."
  • "HPE is flexible with you if you are an existing customer. They offer different models that might be beneficial for your organization. It all depends on how you negotiate."
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
Download our HPE Data Fabric Buyer's Guide for additional reliable information.

Review data by company size

By reviewers
Company SizeCount
Small Business4
Large Enterprise6
By reviewers
By visitors reading reviews
Company SizeCount
Small Business35
Midsize Enterprise17
Large Enterprise78
By visitors reading reviews

Top industries

By visitors reading reviews
Financial Services Firm
18%
Healthcare Company
8%
Comms Service Provider
8%
Performing Arts
7%
Computer Software Company
7%
Manufacturing Company
5%
University
5%
Construction Company
5%
Engineering Company
4%
Retailer
4%
Legal Firm
3%
Wholesaler/Distributor
2%
Government
2%
Logistics Company
2%
Marketing Services Firm
2%
Real Estate/Law Firm
2%
Security Firm
2%
Insurance Company
2%
Educational Organization
2%
Transportation Company
2%
Non Tech Company
2%
Consumer Goods Company
1%
Energy/Utilities Company
1%
Media Company
1%
Outsourcing Company
1%
Aerospace/Defense Firm
1%
Hospitality Company
1%

Compare HPE Data Fabric with alternative products

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Learn more about HPE Data Fabric

HPE Data Fabric was previously known as MapR, MapR Data Platform.

HPE Data Fabric customers

Valence Health, Goodgame Studios, Pico, Terbium Labs, sovrn, Harte Hanks, Quantium, Razorsight, Novartis, Experian, Dentsu ix, Pontis Transitions, DataSong, Return Path, RAPP, HP

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Product Categories

Product Categories
Hadoop

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HPE Data Fabric Reviews Summary
Author infoRatingReview Summary
Data architect at Banking Sector4.0I use HPE Ezmeral Data Fabric as a database for storing and processing data and find it to be a comprehensive platform with useful features. However, it lacks compatibility with some third-party tools, and integration can be challenging.
Regional Head of Data and Application Platform at a financial services firm with 10,001+ employees3.5I use HPE Ezmeral Data Fabric for large data storage, NoSQL, and messaging. While accessing it globally is convenient, upgrading is challenging. It's valuable but lacks cloud adaptability, though recent AI advancements may improve usability and return on investment.
Data architect at Banking Sector3.5I use HPE Ezmeral Data Fabric primarily to consolidate data into our data lake. I appreciate the administration features, but deployment speed could be improved, and I desire more support in future releases. ROI is emerging but not yet quantifiable.
CEO at Inosense4.0I used this for creating preview models and found model creation interesting, stable, scalable, and easy to set up. While API integration needed improvement, it's since been added. I rate it 8/10 and recommend it.
Founder at Chicago area Hadoop User Group (CHUG)4.5As an independent consultant, I value MapR's file system for superior stability, scalability, and security. While Kerberos support and HBase coprocessor limitations exist, its unique architecture provides significant advantages over other big data solutions.
Technical Architect at a tech services company with 10,001+ employees3.5I found MapR-DB a fast, stable NoSQL solution on MapR-FS, with good support and easy setup. However, I preferred HBase due to MapR-DB's vendor lock-in and extract cost.
Director at a tech services company with 51-200 employeesWe value MapR for distributed Big Data computation, improving sensor data analysis and alerts. Yet, cryptic installations and scarce skilled resources increase costs. Defining objectives and a POC are crucial for success.
Member of Technical Staff at a tech company with 51-200 employees4.0I've used this for three years, valuing its robust file system and HA for data analytics. Setup was easy, scaling well. I'd like improved auditing, encryption, and more third-party certifications.