HPE Data Fabric vs IBM Netezza Performance Server comparison

Hewlett Packard Enterprise and IBM are both solutions in the Hadoop category. Hewlett Packard Enterprise is ranked #4, while IBM is ranked #7 with an average rating of 7.0. Hewlett Packard Enterprise holds a 14.3% mindshare in H, compared to IBM’s 5.8% mindshare. Additionally, 100% of Hewlett Packard Enterprise users are willing to recommend the solution, compared to 89% of IBM users who would recommend it.

HPE Data Fabric

Read 12 HPE Data Fabric reviews

1,233 Views
986 Comparison Views

100% willing to recommend

IBM Netezza Performance Server

Read 45 IBM Netezza Performance Server reviews

2,374 Views
261 Comparison Views

89% willing to recommend

HPE Data Fabric

IBM Netezza Performance Server

Comparison Buyer's Guide

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Executive SummaryUpdated on Nov 30, 2025

HPE Data Fabric and IBM Netezza Performance Server are key players in the big data and analytics market. Despite HPE being praised for pricing and support, IBM is often preferred for its advanced features.

Features: HPE Data Fabric is versatile with bundled services, a reliable file system, and strong multi-tenancy. It is known for ease of use and high availability. IBM Netezza is recognized for its speed, simplicity in handling large datasets, and effective built-in analytics, excelling in data processing and querying due to its hardware-software integration.

Room for Improvement: HPE Data Fabric requires better integration, improved interface, and expanded support for third-party tools. Challenges include complex upgrades and cloud-deployment issues. IBM Netezza could enhance concurrent query handling, improve cloud compatibility, and refine database management. Scalability is also noted as an area needing development.

Ease of Deployment and Customer Service: Both HPE Data Fabric and IBM Netezza are primarily on-premises solutions. HPE is transitioning to hybrid cloud, a feature already available in IBM. HPE's customer service varies post-acquisition but strives for resolution, while IBM’s support is positively rated but could be more proactive.

Pricing and ROI: HPE Data Fabric offers competitive pricing, especially for existing customers, with flexible multi-tenant pricing. IBM Netezza, despite its higher cost, is deemed worthwhile for its high performance and ease of use. Although seen as expensive, its refurbished options provide cost-effective alternatives. Understanding each solution's value and ROI is crucial, as it depends on specific use cases and deployment scales.

To learn more, read our detailed HPE Data Fabric vs. IBM Netezza Performance Server Report (Updated: February 2026).

Buyer's Guide

HPE Data Fabric vs. IBM Netezza Performance Server

February 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

HPE Data Fabric

Ranking in Hadoop

4th

Average Rating

8.0

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

No ranking in other categories

IBM Netezza Performance Server

Ranking in Hadoop

7th

Average Rating

7.8

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Warehouse (13th)

Mindshare comparison

As of February 2026, in the Hadoop category, the mindshare of HPE Data Fabric is 14.3%, down from 14.6% compared to the previous year. The mindshare of IBM Netezza Performance Server is 5.8%, up from 1.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Hadoop Market Share Distribution
Product	Market Share (%)
HPE Data Fabric	14.3%
IBM Netezza Performance Server	5.8%
Other	79.9%

Hadoop

Featured Reviews

Hamid M. Hamid

Data architect at Banking Sector

A stable and scalable tool that serves as a great database

The initial setup of HPE Ezmeral Data Fabric is easy. I am not sure how long it took to deploy HPE Ezmeral Data Fabric, but I haven't heard about any disadvantages when it comes to the time taken for the deployment. I remember that one of our company's clients who had purchased the product never mentioned the product's setup phase being complex. One of the drawbacks with HPE Ezmeral Data Fabric stems from the fact that the product's upgrade was not straightforward, and it was a complex process since one of the teams in my company who deals with the tool found the upgrade part to be tough. The solution is deployed on an on-premises model. My company has two dedicated staff members to look after the deployment and maintenance phases of HPE Ezmeral Data Fabric.

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Shiv Subramaniam Koduvayur

Project Manager at MAF Retail

Parallel data processing streamlines operations while cost and cloud integration challenge adoption

The cost of the solution is on the more expensive side, which is a concern for me. Additionally, its promotion and interaction with cloud applications are limited. The cloud version is only available in AWS, and in the Middle East, it is not well-developed in the Azure environment. For the cost to be reduced, it should match competitors. Many features need to be incorporated on the cloud.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"HPE Ezmeral Data Fabric can be accessed from any namespace globally as you would access it from a machine using an NFS."

"The model creation was very interesting, especially with the libraries provided by the platform."

"It is a stable solution...It is a scalable solution."

"My customers find the product cheaper compared to other solutions. The previous solution that we used did not have unified analytics like the runtime or the analog."

"I like the administration part."

"The performance is most important to me, and it helps our ability to make business decisions quickly."

"The most valuable feature would be the fact that it has been running for awhile in an appliance format."

"The most valuable features of the IBM Netezza Performance Server are the NPS server because of the reduced maintenance and overall good performance."

"For me, as an end-user, everything that I do on the solution is simple, clear, and understandable."

"Data compression. It was relatively impressive. I think at some point we were getting 4:1 compression if not more."

"We are able to execute very complex queries. Over 90 percent of our query executions are one second or less. We do millions of queries everyday."

"IBM Netezza Performance Server is a cost-effective solution."

"Distribution concurrency control."

More IBM Netezza Performance Server pros

Cons

"HPE Ezmeral Data Fabric is not compatible with third-party tools."

"The deployment could be faster. I want more support for the data lake in the next release."

"The product is not user-friendly."

"Upgrading Ezmeral to a new version is a pain. They're trying to make the solution more container-friendly, so I think they're going in the right direction. The only problem we've had in the past was the upgrades. The process isn't smooth due to how the Red Hat operating system upgrades currently work."

"Having the ability to extend the services provided by the platform to an API architecture, a micro-services architecture, could be very helpful."

"Disaster recovery support. Because it was an appliance, and if you wanted to support disaster recovery, you needed to buy two."

"The hardware has a risk of failure. They need to improve this."

"The solution could implement more reporting tools and networking utilities."

"In-DB processing with SAS Analytics, since this is supposed to be an analytics server so the expectation is there."

"We are not able to scale. The only way to scale is to get another appliance, but we have a customers who would need us to hydrate the data between the two appliances, and Netezza does not do that."

"LIke Teradata, we can’t add a node/SPU to the existing appliance."

"Concurrency limit needs to be increased somewhat."

"IBM Netezza Performance Server could improve its interface, support for big data, and APA-based connectivity should be available."

More IBM Netezza Performance Server cons

Pricing and Cost Advice

"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."

"There is a need for my company to pay for the licensing costs of the solution."

"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."

"The solution has a yearly licensing fee, and users have to pay extra for support."

"For me, mainly, it reduces my costs. It's not only the appliance cost. There are also support costs and a maintenance costs. It does reduce the costs very drastically."

"The pricing is very expensive. It has a lot CPUs with a lot of components in it. It also has built-in redundancy for resiliency reasons."

"The annual licensing fees are twenty-two percent of the product cost."

"Expensive to maintain compared to other solutions."

"Netezza is a costly solution. It does serve a specific purpose but it's costlier than what's available in the market, if you go to the cloud."

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Comparison Review

it_user232068

Senior Data Architect at a pharma/biotech company with 1,001-5,000 employees

Aug 5, 2015

Netezza vs. Teradata

Original published at https://www.linkedin.com/pulse/should-i-choose-net Two leading Massively Parallel Processing (MPP) architectures for Data Warehousing (DW) are IBM PureData System for Analytics (formerly Netezza) and Teradata. I thought talking about the similarities and differences…

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Comms Service Provider

Performing Arts

Computer Software Company

Financial Services Firm

22%

Manufacturing Company

Comms Service Provider

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	4
Large Enterprise	7

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	5
Large Enterprise	33

Questions from the Community

Ask a question

Earn 20 points

What needs improvement with IBM Netezza Performance Server?

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What is your primary use case for IBM Netezza Performance Server?

I use this solution as a data warehouse.

See all answers

What advice do you have for others considering IBM Netezza Performance Server?

The solution has generally received positive feedback from me and is recommended for continued use by end users. However, the product cost is high compared to others in the market, and this cost ha...

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Comparisons

Cloudera Distribution for Hadoop vs HPE Data Fabric

Compared 21% of the time

Cloudera Data Platform vs HPE Data Fabric

Compared 16% of the time

Apache Spark vs HPE Data Fabric

Compared 11% of the time

Amazon EMR vs HPE Data Fabric

Compared 9% of the time

SAP HANA vs HPE Data Fabric

Compared 6% of the time

More HPE Data Fabric Competitors

Snowflake vs IBM Netezza Performance Server

Compared 11% of the time

Teradata vs IBM Netezza Performance Server

Compared 6% of the time

Oracle Database vs IBM Netezza Performance Server

Compared 6% of the time

Oracle Exadata vs IBM Netezza Performance Server

Compared 6% of the time

Cloudera Distribution for Hadoop vs IBM Netezza Performance Server

Compared 3% of the time

More IBM Netezza Performance Server Competitors

Product Reports

Buyer's Guide

HPE Data Fabric

January 2026

Download HPE Data Fabric product report

Buyer's Guide

IBM Netezza Performance Server

January 2026

Download IBM Netezza Performance Server product report

Also Known As

MapR, MapR Data Platform

Netezza Performance Server, Netezza, Netezza Analytics

Overview

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.

Hewlett Packard Enterprise

IBM Netezza Performance Server offers high performance, scalability, and minimal maintenance. It seamlessly integrates SQL for efficient data processing, making it ideal for enterprise data warehousing needs.

IBM Netezza Performance Server is known for its outstanding data processing capabilities. Its integration of FPGA technology, compression techniques, and partitioning optimizes query execution and scalability. Users appreciate its appliance-like architecture for straightforward deployment, distributed querying, and high availability, significantly boosting operations and analytics capabilities. However, there are areas for improvement, particularly in handling high concurrency, real-time integration, and specific big data functionalities. Enhancements in database management tools, XML integration, and cloud options are commonly desired, along with better marketing and community engagement.

What are the key features of IBM Netezza Performance Server?

High Performance: Offers fast query execution using advanced hardware integration.
Scalability: Designed to handle expanding data needs efficiently.
Seamless Data Loading: Enables simple and quick loading of large datasets.
ANSI-compliant SQL: Supports standardized SQL for easy integration with existing tools.
Efficient Architecture: Appliance-based for easy deployment and hands-off administration.

What are the benefits and ROI to consider?

Minimal Maintenance: Reduces administrative overhead with reliable setup.
Comprehensive IBM Support: Provides robust problem-solving resources.
High Availability: Ensures uninterrupted operations and consistent performance.
Enhanced Analytics Capabilities: Drives analytics and reporting processes effectively.

Industries rely on IBM Netezza Performance Server for robust data warehousing solutions, particularly in sectors requiring intensive data analysis such as finance, retail, and telecommunications. Organizations use it to power business intelligence tools like Business Objects and MicroStrategy for customer analytics, establishing data marts and staging tables to efficiently manage and update enterprise data. With the capacity to handle large volumes of compressed and uncompressed data, it finds numerous applications in on-premises setups, powering data mining and reporting with high reliability and efficiency.

IBM

Sample Customers

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

Seattle Childrens Hospital, Carphone Warehouse, Vanderbilt University School of Medicine, Battelle, Start Today Co. Ltd., Kelley Blue Book, Trident Marketing, Elisa Corporation, Catalina Marketing, iBasis, Barnes & Noble, Qualcomm, MediaMath, Acxiom, iBasis, Foxwoods

Buyer's Guide

HPE Data Fabric vs. IBM Netezza Performance Server

February 2026

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