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 10.5% mindshare in H, compared to IBM’s 6.1% 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

1,828 Views
1,481 Comparison Views

100% willing to recommend

IBM Netezza Performance Server

Read 45 IBM Netezza Performance Server reviews

4,150 Views
623 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: April 2026).

Buyer's Guide

HPE Data Fabric vs. IBM Netezza Performance Server

April 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 (12th)

Mindshare comparison

As of May 2026, in the Hadoop category, the mindshare of HPE Data Fabric is 10.5%, down from 15.2% compared to the previous year. The mindshare of IBM Netezza Performance Server is 6.1%, up from 1.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Hadoop Mindshare Distribution
Product	Mindshare (%)
HPE Data Fabric	10.5%
IBM Netezza Performance Server	6.1%
Other	83.4%

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

"Outside of human error, MapR is probably the most stable of the major releases."

"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."

"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."

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

"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."

"Our customer purchased a paid support service and so far MapR has addressed our issues well."

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

"I highly recommend MapR."

More HPE Data Fabric pros

"We have sub-second query performance, and users are happy with the product."

"With a field-programmable gate array, it has the capabilities to do arithmetic calculations at memory level."

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

"The performance of the solution is its most valuable feature; the solution is easy to administer as well, very user-friendly, and on the technical side the architecture is simple to understand and you do not need too many administrators to handle the solution."

"Query and process response times have improved resulting in customers being able to process and analyse more in less time."

"Distribution (no index or partition), built-in analytics is a major advantange."

"The speed has been excellent for us, in pulling information, as well as the batch timing, and the suite of tools that comes with it for the ETL with IBM InfoSphere."

"Distribution concurrency control."

More IBM Netezza Performance Server pros

Cons

"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."

"The product is not user-friendly."

"The interface part, what I'm calling the integration part, could be improved."

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

"The UI for administration still has a lot of manual work to set up the cluster and get it running."

"One weakness for MapR is the Kerberos support."

"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."

More HPE Data Fabric cons

"Support for interfaces has been poor."

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

"Netezza does not scale like other databases, so it cannot run several queries at once."

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

"Data lineage on column or even object level does not exist, therefore external applications have to be used"

"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."

"I am using SAS and it's a dis-appointment due to limited in-DB processing, including data connection pool, that was never resolved by both SAS and IBM Netezza."

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

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."

"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."

"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."

"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

17%

Construction Company

11%

Comms Service Provider

Healthcare Company

Financial Services Firm

20%

Manufacturing Company

Construction Company

Comms Service Provider

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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Earn 20 points

What needs improvement with IBM Netezza Performance Server?

See all answers

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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Comparisons

Cloudera Distribution for Hadoop vs HPE Data Fabric

Compared 17% of the time

Cloudera Data Platform vs HPE Data Fabric

Compared 13% of the time

IBM Spectrum Computing vs HPE Data Fabric

Compared 10% of the time

IBM Analytics Engine vs HPE Data Fabric

Compared 10% of the time

Spark SQL vs HPE Data Fabric

Compared 5% of the time

More HPE Data Fabric Competitors

Snowflake vs IBM Netezza Performance Server

Compared 8% of the time

Oracle Exadata vs IBM Netezza Performance Server

Compared 6% of the time

Teradata vs IBM Netezza Performance Server

Compared 6% of the time

OpenText Analytics Database (Vertica) vs IBM Netezza Performance Server

Compared 5% of the time

SAP IQ vs IBM Netezza Performance Server

Compared 2% of the time

More IBM Netezza Performance Server Competitors

Product Reports

Buyer's Guide

HPE Data Fabric

April 2026

Download HPE Data Fabric product report

Buyer's Guide

IBM Netezza Performance Server

April 2026

Download IBM Netezza Performance Server product report

Also Known As

MapR, MapR Data Platform

Netezza Performance Server, Netezza, Netezza Analytics

Overview

HPE Data Fabric delivers robust data management with features like multi-tenancy, security, and ease of configuration. It supports high performance and unified analytics, making it a reliable choice for organizations looking to manage extensive data efficiently.

HPE Data Fabric provides a comprehensive data management platform with clustered node distribution and no single point of failure, ensuring high availability. Its compatibility with MapR-DB and NFS functionality allows integration with existing systems. Although there are challenges with third-party tool compatibility and upgrades, it supports big data initiatives by acting as both a database and messaging layer. Users benefit from bundled ecosystem support and simplified administration, enhancing usability across multiple teams and locations.

What features make HPE Data Fabric valuable?

Multi-tenancy: Supports multiple users or tenants securely.
Clustered Node Distribution: Distributes data across nodes for reliability.
POSIX Compliance: Compatibility with POSIX standards for ease of integration.
NFS Functionality: Facilitates network-based file sharing.
Unified Analytics: Provides integrated data analysis capabilities.

Why consider HPE Data Fabric in reviews?

Reliability: No single point of failure, ensuring consistent performance.
Cost Efficiency: Offers cost-effective data management solutions.
High Availability: Provides resilient storage and service availability.
Ease of Configuration: Streamlines administrative tasks with UI-driven tools.

Organizations in sectors such as finance, healthcare, and logistics use HPE Data Fabric to manage large volumes of data efficiently. Its role in supporting distributed processing and acting as a NoSQL storage solution enables these industries to leverage big data for enhanced operational insights and decision-making capabilities. The inclusion of AI tools further expands its utility, facilitating advanced data environments that are cost-effective and scalable for growing organizational demands.

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

April 2026

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

Find out what your peers are saying about HPE Data Fabric vs. IBM Netezza Performance Server and other solutions. Updated: April 2026.

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