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Azure Data Factory vs IBM Netezza Performance Server comparison

 

Comparison Buyer's Guide

Executive Summary

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
7.1
Azure Data Factory offers significant time, effort, and infrastructure savings, enhancing data analysis and decision-making capabilities.
Sentiment score
7.1
IBM Netezza Performance Server boosted productivity, reduced costs, and enhanced business intelligence, achieving positive outcomes and high returns.
 

Customer Service

Sentiment score
6.5
Azure Data Factory support is praised for responsiveness, though some report delays; satisfaction varies with Microsoft partnerships.
Sentiment score
6.4
IBM Netezza's customer service is prompt but technical support response and cost affect satisfaction, leading to variable ratings.
The technical support from Microsoft is rated an eight out of ten.
The technical support is responsive and helpful
The technical support for Azure Data Factory is generally acceptable.
Technical support is very costly for me, accounting for twenty-five to thirty percent of the product cost.
 

Scalability Issues

Sentiment score
7.5
Azure Data Factory scales efficiently, managing large datasets for enterprises, though users note cost and integration limitations.
Sentiment score
6.1
IBM Netezza Performance Server faces scalability issues with appliance limitations, effective for set operations but not individual tasks.
Azure Data Factory is highly scalable.
It is provided as a pre-configured box, and scaling is not an option.
 

Stability Issues

Sentiment score
7.8
Azure Data Factory is highly rated for stability, scalability, and performance, despite occasional minor issues with larger data volumes.
Sentiment score
7.8
IBM Netezza Performance Server is stable with minimal outages, relying on proper query design and offering effective IBM support.
The solution has a high level of stability, roughly a nine out of ten.
 

Room For Improvement

Azure Data Factory requires improvements in integration, pricing, documentation, UI, monitoring, processing, and debugging for enhanced user experience.
IBM Netezza needs better scalability, concurrency, integration, query optimization, monitoring, and reduced costs to overcome growth and usability challenges.
There is a problem with the integration with third-party solutions, particularly with SAP.
Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically.
Incorporating more dedicated API sources to specific services like HubSpot CRM or Salesforce would be beneficial.
The cloud version is only available in AWS, and in the Middle East, it is not well-developed in the Azure environment.
 

Setup Cost

Azure Data Factory offers competitive, flexible pay-as-you-go pricing; costs vary by data volume and use of additional services.
IBM Netezza Performance Server is costly yet valuable for enterprises needing robust analytics, scalability, and built-in redundancy.
The pricing is cost-effective.
It is considered cost-effective.
 

Valuable Features

Azure Data Factory enables easy data integration, management, and transformation with over 100 connectors, supporting ETL and automation efficiently.
IBM Netezza Performance Server provides fast data processing, easy management, and enhances analytics with high performance and low maintenance.
It connects to different sources out-of-the-box, making integration much easier.
The interface of Azure Data Factory is very usable with a more interactive visual experience, making it easier for people who are not as experienced in coding to work with.
I find the most valuable feature in Azure Data Factory to be its ability to handle large datasets.
It operates as a high-speed data warehouse, which is essential for handling big data.
 

Categories and Ranking

Azure Data Factory
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
90
Ranking in other categories
Data Integration (1st), Cloud Data Warehouse (3rd)
IBM Netezza Performance Server
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
34
Ranking in other categories
Data Warehouse (11th)
 

Featured Reviews

Joy Maitra - PeerSpot reviewer
Facilitates seamless data pipeline creation with good analytics and and thorough monitoring
Azure Data Factory is a low code, no code platform, which is helpful. It provides many prebuilt functionalities that assist in building data pipelines. Also, it facilitates easy transformation with all required functionalities for analytics. Furthermore, it connects to different sources out-of-the-box, making integration much easier. The monitoring is very thorough, though a more readable version would be appreciable.
Shiv Subramaniam Koduvayur - PeerSpot reviewer
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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Use our free recommendation engine to learn which Cloud Data Warehouse solutions are best for your needs.
850,028 professionals have used our research since 2012.
 

Comparison Review

it_user232068 - PeerSpot reviewer
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…
 

Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
9%
Healthcare Company
7%
Educational Organization
71%
Financial Services Firm
7%
Computer Software Company
3%
Insurance Company
3%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

How do you select the right cloud ETL tool?
AWS Glue and Azure Data factory for ELT best performance cloud services.
How does Azure Data Factory compare with Informatica PowerCenter?
Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stability and reliability I am looking for, good scalability, and is easy to set up an...
How does Azure Data Factory compare with Informatica Cloud Data Integration?
Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power Q...
What do you like most about IBM Netezza Performance Server?
IBM Netezza Performance Server is a cost-effective solution.
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.
What needs improvement with IBM Netezza Performance Server?
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 availab...
 

Also Known As

No data available
Netezza Performance Server, Netezza
 

Overview

 

Sample Customers

1. Adobe 2. BMW 3. Coca-Cola 4. General Electric 5. Johnson & Johnson 6. LinkedIn 7. Mastercard 8. Nestle 9. Pfizer 10. Samsung 11. Siemens 12. Toyota 13. Unilever 14. Verizon 15. Walmart 16. Accenture 17. American Express 18. AT&T 19. Bank of America 20. Cisco 21. Deloitte 22. ExxonMobil 23. Ford 24. General Motors 25. IBM 26. JPMorgan Chase 27. Microsoft (Azure Data Factory is developed by Microsoft) 28. Oracle 29. Procter & Gamble 30. Salesforce 31. Shell 32. Visa
Seattle Childrens 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 Azure Data Factory vs. IBM Netezza Performance Server and other solutions. Updated: April 2025.
850,028 professionals have used our research since 2012.