HPE Ezmeral 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 with an average rating of 8.0, while IBM is ranked #7 with an average rating of 7.0. Hewlett Packard Enterprise holds a 14.8% mindshare in H, compared to IBM’s 1.7% 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 Ezmeral Data Fabric

Read 12 HPE Ezmeral Data Fabric reviews

1,172 Views
984 Comparison Views

100% willing to recommend

IBM Netezza Performance Server

Read 45 IBM Netezza Performance Server reviews

1,759 Views
88 Comparison Views

89% willing to recommend

HPE Ezmeral Data Fabric

IBM Netezza Performance Server

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Executive SummaryUpdated on Aug 25, 2025

HPE Ezmeral Data Fabric and IBM Netezza Performance Server are competing in the realm of data workload management. While HPE Ezmeral offers more competitive pricing and support, IBM Netezza's advanced performance features make it advantageous for those prioritizing speed and efficiency.

Features: HPE Ezmeral delivers strong file system capabilities, bundled ecosystem support, and ease of configuration, especially in Docker environments. It offers high availability and adaptability with raw disk storage. IBM Netezza excels in fast query execution through FPGA technology, built-in analytics, and seamless data streaming platform integration, making it efficient for extensive analytics workloads.

Room for Improvement: HPE Ezmeral users experience issues with pricing and the complexity of operations during upgrades and third-party tool integration. It needs improved Kerberos support and cloud-friendly adaptations. IBM Netezza faces limitations in concurrency handling and scalability, with a need for better real-time big data integration and query optimization alerts. It is also considered expensive.

Ease of Deployment and Customer Service: Both solutions offer on-premises deployment, while IBM Netezza also supports hybrid cloud. HPE Ezmeral receives mixed reviews for technical support due to slow response times. IBM Netezza is rated well for customer and technical support, though it occasionally falls short of expectations.

Pricing and ROI: HPE Ezmeral's pricing is flexible and usage-based, potentially making it cost-effective when fully utilized. IBM Netezza, despite high upfront costs, offers performance advantages for handling large data volumes, providing good ROI if leveraged effectively.

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August 2025

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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 Ezmeral 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 (12th)

Mindshare comparison

As of August 2025, in the Hadoop category, the mindshare of HPE Ezmeral Data Fabric is 14.8%, up from 13.1% compared to the previous year. The mindshare of IBM Netezza Performance Server is 1.7%, up from 1.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Hadoop Market Share Distribution
Product	Market Share (%)
HPE Ezmeral Data Fabric	14.8%
IBM Netezza Performance Server	1.7%
Other	83.5%

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."

"I like the administration part."

"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."

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

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

"Parallel data processing is a significant feature for me."

"The most valuable feature is the performance."

"The data governance prospect... from what I've seen, that is a really powerful tool as well, to help with data lineage and keeping track of that."

"Distribution concurrency control."

"The need for administration involvement is quite limited on the solution."

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

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

More IBM Netezza Performance Server pros

Cons

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

"The product is not user-friendly."

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

"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."

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

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

"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."

"Oracle Exadata's security features, like TDE encryption, are missing in IBM Netezza Performance Server."

"This product is being discontinued from IBM, and I would like to have some kind of upgrade available."

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

"The only issue is that it's not expandable."

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

"Concurrency limit needs to be increased somewhat."

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."

"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."

"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."

"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."

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

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

"Expensive to maintain compared to other solutions."

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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…

Read full review

Top Industries

By visitors reading reviews

Financial Services Firm

20%

Computer Software Company

13%

Comms Service Provider

11%

Government

Financial Services Firm

22%

Manufacturing Company

Computer Software Company

Insurance 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

What do you like most about HPE Ezmeral Data Fabric?

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

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What needs improvement with HPE Ezmeral Data Fabric?

There are some drawbacks in HPE Ezmeral Data Fabric when it comes to the interoperability part. HPE Ezmeral Data Fabric is not compatible with third-party tools. For example, HPE Ezmeral Data Fabri...

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What is your primary use case for HPE Ezmeral Data Fabric?

The main purpose of HPE Ezmeral Data Fabric for me is that it acts as a database. In my company, we store our data with the help of HPE Ezmeral Data Fabric. It is possible to use Spark engine with ...

See all answers

What do you like most about IBM Netezza Performance Server?

IBM Netezza Performance Server is a cost-effective solution.

See all answers

What is your experience regarding pricing and costs for IBM Netezza Performance Server?

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

See all answers

What needs improvement with IBM Netezza Performance Server?

See all answers

Comparisons

Cloudera Distribution for Hadoop vs HPE Ezmeral Data Fabric

Compared 52% of the time

Cloudera Data Platform vs HPE Ezmeral Data Fabric

Compared 13% of the time

Apache Spark vs HPE Ezmeral Data Fabric

Compared 11% of the time

Amazon EMR vs HPE Ezmeral Data Fabric

Compared 9% of the time

IBM Analytics Engine vs HPE Ezmeral Data Fabric

Compared 9% of the time

More HPE Ezmeral Data Fabric Competitors

Oracle Exadata vs IBM Netezza Performance Server

Compared 17% of the time

Snowflake vs IBM Netezza Performance Server

Compared 16% of the time

Teradata vs IBM Netezza Performance Server

Compared 14% of the time

Oracle Database vs IBM Netezza Performance Server

Compared 9% of the time

Amazon Redshift vs IBM Netezza Performance Server

Compared 6% of the time

More IBM Netezza Performance Server Competitors

Product Reports

Buyer's Guide

HPE Ezmeral Data Fabric

August 2025

Download HPE Ezmeral Data Fabric product report

Buyer's Guide

IBM Netezza Performance Server

August 2025

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

Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop. Updated: August 2025.

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