Amazon EMR vs IBM Netezza Performance Server comparison

Amazon Web Services (AWS) and IBM are both solutions in the Hadoop category. Amazon Web Services (AWS) is ranked #3 with an average rating of 7.8, while IBM is ranked #7 with an average rating of 7.0. Amazon Web Services (AWS) holds a 10.8% mindshare in H, compared to IBM’s 5.0% mindshare. Additionally, 83% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 89% of IBM users who would recommend it.

Amazon EMR

Read 25 Amazon EMR reviews

1,599 Views
560 Comparison Views

83% willing to recommend

IBM Netezza Performance Server

Read 45 IBM Netezza Performance Server reviews

2,118 Views
191 Comparison Views

89% willing to recommend

Amazon EMR

IBM Netezza Performance Server

Comparison Buyer's Guide

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Executive SummaryUpdated on Nov 30, 2025

Amazon EMR and IBM Netezza Performance Server are both competitive in the domain of data processing platforms. Amazon EMR seems to have an advantage with its flexibility and integration capabilities, while IBM Netezza stands out for its specialized hardware performance.

Features: Amazon EMR provides a flexible, scalable service, integrating well with AWS infrastructure for efficient data processing tasks. It ensures high reliability, minimum maintenance, and facilitates seamless data integration. IBM Netezza excels in rapid query execution and supports advanced analytics with its hardware-software integration, requiring low administrative efforts and offering impressive speed.

Room for Improvement: Amazon EMR has challenges in web interface intuitiveness and stability during updates, with potential high costs if scalability is not managed efficiently. IBM Netezza has limitations in real-time data integration and suffers performance dips with heavy concurrency and complex administration.

Ease of Deployment and Customer Service: Amazon EMR offers flexibility and ease of deployment in a public cloud setting, receiving positive feedback for customer service. IBM Netezza, appliance-based with on-premises or hybrid deployments, requires thorough planning and has mixed feedback on support responsiveness.

Pricing and ROI: Amazon EMR's pay-as-you-go model can be expensive if not optimized, though acknowledged as cost-effective for efficient workloads. IBM Netezza entails a higher initial cost due to hardware and licensing but justifies it through high performance in large-scale operations, providing substantial ROI in enterprise environments.

To learn more, read our detailed Amazon EMR vs. IBM Netezza Performance Server Report (Updated: January 2026).

Buyer's Guide

Amazon EMR vs. IBM Netezza Performance Server

January 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:

ROI

Sentiment score

4.8

Amazon EMR offers cost savings and ROI benefits, with some users experiencing up to 20% cost reduction and high returns.

Sentiment score

7.1

IBM Netezza Performance Server improves data query speed and efficiency, enhancing business performance and cost savings through compression.

No quotes available

For more quotes and insights, download the Amazon EMR report

No quotes available

For more quotes and insights, download the IBM Netezza Performance Server report

Customer Service

Sentiment score

7.9

Amazon EMR customer service varies, with generally responsive support despite reported delays and occasional gaps in integration assistance.

Sentiment score

6.4

IBM Netezza Performance Server praised for knowledgeable support; mixed feedback on resolution speed post-acquisition, yet communication remains consistent.

I would rate the technical support from Amazon as ten out of ten.

reviewer2043696

Senior Technical Engineer at a transportation company with 5,001-10,000 employees

We get all call support, screen sharing support, and immediate support, so there are no problems.

reviewer1343079

Senior Chief Engineer (Enterprise System Presales/Postsales) at a tech vendor with 10,001+ employees

They help with billing, cost determination, IAM properties, security compliance, and deployment and migration activities.

Mirza Mujtaba Baig

Lead AWS Data Engineer at Fission Labs

For more quotes and insights, download the Amazon EMR report

Technical support is very costly for me, accounting for twenty-five to thirty percent of the product cost.

Shiv Subramaniam Koduvayur

Project Manager at MAF Retail

For more quotes and insights, download the IBM Netezza Performance Server report

Scalability Issues

Sentiment score

7.4

Amazon EMR efficiently scales for businesses, offering customizable cluster options to manage diverse data sizes and enterprise demands.

Sentiment score

6.1

IBM Netezza struggles with scalability, requiring extra hardware for expansion, prompting users to consider cloud alternatives for growth.

Scalability can be provisioned using the auto-scaling feature, EC2 instances, on-demand instances, and storage locations like block storage, S3, or file storage.

Mirza Mujtaba Baig

Lead AWS Data Engineer at Fission Labs

For more quotes and insights, download the Amazon EMR report

It is provided as a pre-configured box, and scaling is not an option.

Shiv Subramaniam Koduvayur

Project Manager at MAF Retail

For more quotes and insights, download the IBM Netezza Performance Server report

Stability Issues

Sentiment score

7.7

Amazon EMR is praised for stability and reliability, with high ratings due to its configurability and robust features.

Sentiment score

7.8

IBM Netezza Performance Server is stable, offering high uptime and reliable performance, with occasional issues due to maintenance or compatibility.

Regular updates, patch installations, monitoring, logging, alerting, and disaster recovery activities are crucial for maintaining stability.

Mirza Mujtaba Baig

Lead AWS Data Engineer at Fission Labs

For more quotes and insights, download the Amazon EMR report

No quotes available

For more quotes and insights, download the IBM Netezza Performance Server report

Room For Improvement

Amazon EMR users face challenges with customization, stability, onboarding, cost optimization, task speed, and demand enhanced integration and security.

IBM Netezza struggles with scalability, user interface, query performance, big data support, and high costs, needing better tools and integration.

The cost factor differs significantly. When you run Spark application on EKS, you run at the pod level, so you can control the compute cost. But in Amazon EMR, when you have to run one application, you have to launch the entire EC2.

reviewer1343079

Senior Chief Engineer (Enterprise System Presales/Postsales) at a tech vendor with 10,001+ employees

I have thoughts on what would be great to see in the product, such as AI/ML features or additional options.

reviewer2043696

Senior Technical Engineer at a transportation company with 5,001-10,000 employees

There is room for improvement with respect to retries, handling the volume of data on S3 buckets, cluster provisioning, scaling, termination, security, and integration between services like S3, Glue, Lake Formation, and DynamoDB.

Mirza Mujtaba Baig

Lead AWS Data Engineer at Fission Labs

For more quotes and insights, download the Amazon EMR report

The cloud version is only available in AWS, and in the Middle East, it is not well-developed in the Azure environment.

Shiv Subramaniam Koduvayur

Project Manager at MAF Retail

For more quotes and insights, download the IBM Netezza Performance Server report

Setup Cost

Amazon EMR pricing is variable, potentially costly, but users can manage expenses with strategic resource and instance management.

IBM Netezza offers high performance and low maintenance but is considered costly, especially for mid-sized organizations, with significant licensing fees.

Cost optimization can be achieved through instance usage, cluster sharing, and auto-scaling.

Mirza Mujtaba Baig

Lead AWS Data Engineer at Fission Labs

I would rate the price for Amazon EMR, where one is high and ten is low, as a good one.

reviewer2043696

Senior Technical Engineer at a transportation company with 5,001-10,000 employees

For more quotes and insights, download the Amazon EMR report

No quotes available

For more quotes and insights, download the IBM Netezza Performance Server report

Valuable Features

Amazon EMR offers scalable, cost-effective big data management with integration, flexibility, security, and seamless Hadoop and Spark processing.

IBM Netezza Performance Server delivers fast analytics, ease of use, robust support, and efficient data warehousing with minimal maintenance.

Amazon EMR helps in scalability, real-time and batch processing of data, handling efficient data sources, and managing data lakes, data stores, and data marts on file systems and in S3 buckets.

Mirza Mujtaba Baig

Lead AWS Data Engineer at Fission Labs

Amazon EMR provides out-of-the-box solutions with Spark and Hive.

reviewer1343079

Senior Chief Engineer (Enterprise System Presales/Postsales) at a tech vendor with 10,001+ employees

We are using it to clean the data and transform the data in such a way that the end-user can get the insights faster.

reviewer2043696

Senior Technical Engineer at a transportation company with 5,001-10,000 employees

For more quotes and insights, download the Amazon EMR report

It operates as a high-speed data warehouse, which is essential for handling big data.

Shiv Subramaniam Koduvayur

Project Manager at MAF Retail

For more quotes and insights, download the IBM Netezza Performance Server report

Categories and Ranking

Amazon EMR

Ranking in Hadoop

3rd

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (13th)

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 January 2026, in the Hadoop category, the mindshare of Amazon EMR is 10.8%, down from 14.2% compared to the previous year. The mindshare of IBM Netezza Performance Server is 5.0%, up from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Hadoop Market Share Distribution
Product	Market Share (%)
Amazon EMR	10.8%
IBM Netezza Performance Server	5.0%
Other	84.2%

Hadoop

Featured Reviews

reviewer1343079

Senior Chief Engineer (Enterprise System Presales/Postsales) at a tech vendor with 10,001+ employees

Has simplified ETL workflows with on-demand processing but needs improved cost efficiency and visibility

I have used AWS Glue with S3 for making tables and databases, but regarding Amazon EMR, I do not remember much as we are currently using it very minimally. This is my observation: In EKS, we have had to deploy by ourselves because EKS does not provide the Hadoop framework, Spark, Hive, and everything, but we have completed all the deployment ourselves. Whereas Amazon EMR provides all these things. The cost factor differs significantly. When you run Spark application on EKS, you run at the pod level, so you can control the compute cost. But in Amazon EMR, when you have to run one application, you have to launch the entire EC2. In Qubole, the interface was very good. I could see many details because in Amazon EMR console, very few details are available. In Qubole, at one link, you can get all the details of what is happening, how the processes are running, and the cost decreased by using Qubole. I found Qubole more user-friendly and cost-effective. From the security point of view, we had to open some access rights to Qubole, which might be a drawback in comparison to Amazon EMR which is native to AWS.

Read full review

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.

Read full review

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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

23%

Educational Organization

13%

Computer Software Company

Healthcare Company

Financial Services Firm

23%

Manufacturing Company

Insurance Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	5
Large Enterprise	12

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

Questions from the Community

What is your experience regarding pricing and costs for Amazon EMR?

I would rate the price for Amazon EMR, where one is high and ten is low, as a good one.

See all answers

What needs improvement with Amazon EMR?

I feel some lack of functionality in Amazon EMR. I have thoughts on what would be great to see in the product, such as AI/ML features or additional options.

See all answers

What advice do you have for others considering Amazon EMR?

I find it easy to integrate Amazon EMR with other AWS services like S3 or EC2 for data processing needs. I would rate this review as eight out of ten.

See all answers

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.

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...

See all answers

Comparisons

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Compared 26% of the time

Cloudera Distribution for Hadoop vs Amazon EMR

Compared 13% of the time

Apache Spark vs Amazon EMR

Compared 9% of the time

Amazon Redshift vs Amazon EMR

Compared 9% of the time

Cloudera Data Platform vs Amazon EMR

Compared 7% of the time

More Amazon EMR Competitors

Snowflake vs IBM Netezza Performance Server

Compared 13% of the time

Teradata vs IBM Netezza Performance Server

Compared 8% of the time

Oracle Exadata vs IBM Netezza Performance Server

Compared 8% of the time

Oracle Database vs IBM Netezza Performance Server

Compared 7% of the time

SQL Server vs IBM Netezza Performance Server

Compared 6% of the time

More IBM Netezza Performance Server Competitors

Product Reports

Buyer's Guide

Amazon EMR

January 2026

Download Amazon EMR product report

Buyer's Guide

IBM Netezza Performance Server

January 2026

Download IBM Netezza Performance Server product report

Also Known As

Amazon Elastic MapReduce

Netezza Performance Server, Netezza, Netezza Analytics

Overview

Amazon Elastic MapReduce (Amazon EMR) is a web service that makes it easy to quickly and cost-effectively process vast amounts of data. Amazon EMR simplifies big data processing, providing a managed Hadoop framework that makes it easy, fast, and cost-effective for you to distribute and process vast amounts of your data across dynamically scalable Amazon EC2 instances.

Amazon Web Services (AWS)

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

Yelp

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

Amazon EMR vs. IBM Netezza Performance Server

January 2026

Free Report: Amazon EMR vs. IBM Netezza Performance Server

Find out what your peers are saying about Amazon EMR vs. IBM Netezza Performance Server and other solutions. Updated: January 2026.

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