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 #6 with an average rating of 7.0. Hewlett Packard Enterprise holds a 13.5% mindshare in H, compared to IBM’s 6.2% 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

1,305 Views
1,044 Comparison Views

100% willing to recommend

IBM Netezza Performance Server

Read 45 IBM Netezza Performance Server reviews

2,670 Views
320 Comparison Views

89% willing to recommend

HPE Data Fabric

IBM Netezza Performance Server

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 1, 2026

HPE Data Fabric and IBM Netezza Performance Server are major contenders in the big data domain. While HPE Data Fabric is praised for its affordability and flexible pricing, IBM Netezza is noted for its superior performance and robust architecture.

Features: HPE Data Fabric offers a comprehensive bundled ecosystem, high security capabilities, and reliability through its MapR NFS and POSIX compliant design. IBM Netezza excels in high-speed analytics with field-programmable gate arrays, built-in analytics, and ease of use.

Room for Improvement: HPE Data Fabric needs better interoperability with third-party tools, more efficient deployment processes, and improvements in upgrade handling. IBM Netezza could enhance scalability and concurrency, and address its storage limitations with better integration with cloud solutions.

Ease of Deployment and Customer Service: HPE Data Fabric predominantly operates on-premises with mixed support reviews, facing criticism for slow response times. IBM Netezza supports hybrid cloud deployment, praised for simpler setup and responsive support, although customer service experiences are variable.

Pricing and ROI: HPE Data Fabric is seen as cost-effective with flexible pricing and good ROI. IBM Netezza's pricing is higher, justified by its advanced performance in managing large data volumes for fast analytics, although it is more expensive than cloud options, underscoring the need for tailored use-case planning.

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

Buyer's Guide

HPE Data Fabric vs. IBM Netezza Performance Server

March 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

6th

Average Rating

7.8

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Warehouse (13th)

Mindshare comparison

As of March 2026, in the Hadoop category, the mindshare of HPE Data Fabric is 13.5%, down from 14.9% compared to the previous year. The mindshare of IBM Netezza Performance Server is 6.2%, up from 1.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Hadoop Mindshare Distribution
Product	Mindshare (%)
HPE Data Fabric	13.5%
IBM Netezza Performance Server	6.2%
Other	80.3%

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

"I highly recommend MapR."

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

"This product enabled us opening up endless possibilities in data analytics, IOE/IOT, and predictive analysis."

"Initial setup is rather straightforward thanks to detailed documentation covering all the bases."

"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."

"The fact that the heavy computation is required on Big Data can be distributed across many nodes in a cluster, makes this solution a winner."

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

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

More HPE Data Fabric pros

"The performance of the solution is its most valuable feature. The solution is easy to administer as well. It's very user-friendly. On the technical side, the architecture is simple to understand and you don't need too many administrators to handle the solution."

"It has been the primary driving technology behind the corporate wide transition to Netezza as a standard data platform."

"The most valuable feature is the performance."

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

"Compared to other RDBMS, Netezza provides much higher performance and much lower maintenance effort Compared to Teradata, lower cost and lower administration"

"For every organization that I have been in that has Netezza, the ability to load and run queries is greatly simplified and A LOT faster than any other DBMS out there."

"It has the capacity to handle terabytes of data with query response times that are very low."

"The underlying hardware that IBM provides with this appliance is made for a specific purpose, to serve performance on a large amount of data, and to do analytics as well. It is faster, when you compare it to any other product."

More IBM Netezza Performance Server pros

Cons

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

"I'd say we've had issues with pricing."

"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."

"It would be nice to have new developments in the Apache space (Spark, Storm, etc.)."

"Installations and setups are still a bit cryptic and can be improved."

"It'd like to see file system auditing, data encryption, and certification of other vendors' tools."

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

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

More HPE Data Fabric cons

"The product cost is high compared to others in the market, and this cost has become unbearable for me."

"It’s a good product for analytical processing, but they need to conduct more seminars and hands-on training and events."

"Matching up with big data. Netezza has been built only for OLAP and structured data, and I think IBM must do something to match it to Hadoop scalability."

"The initial set-up was affected by the fact that we seemed to get a junior technician from IBM who was not as good as other engineers we have had."

"The query optimization is crap, and the machine could use more alerting around bad design and bad queries."

"Functions are difficult to deploy."

"Stability comes and goes."

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

More IBM Netezza Performance Server cons

Pricing and Cost Advice

"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."

"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."

"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."

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

"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

17%

Healthcare Company

Comms Service Provider

Computer Software Company

Financial Services Firm

20%

Manufacturing Company

Comms Service Provider

Performing Arts

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

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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.

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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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Compared 5% of the time

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Product Reports

Buyer's Guide

HPE Data Fabric

March 2026

Download HPE Data Fabric product report

Buyer's Guide

IBM Netezza Performance Server

March 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

March 2026

Free Report: HPE Data Fabric vs. IBM Netezza Performance Server

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