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BigQuery 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
5.8
BigQuery provides 27% better query performance and 17% cost reduction, offering seamless integration and efficient data management with training.
Sentiment score
7.1
IBM Netezza Performance Server improves data query speed and efficiency, enhancing business performance and cost savings through compression.
 

Customer Service

Sentiment score
7.2
Google's support is rated 8/10 for responsiveness, but challenges exist in accessibility, integration, and documentation resources.
Sentiment score
6.4
IBM Netezza Performance Server praised for knowledgeable support; mixed feedback on resolution speed post-acquisition, yet communication remains consistent.
I have been self-taught and I have been able to handle all my problems alone.
Chief Technical Lead at a consultancy with 201-500 employees
rating the customer support at ten points out of ten
Sr. Team Lead - IT at InfoStretch
I would rate their customer service pretty good on a scale of one to 10, as they gave me access to the platform on a grant.
Principal at Sgt Suds
Technical support is very costly for me, accounting for twenty-five to thirty percent of the product cost.
Project Manager at MAF Retail
 

Scalability Issues

Sentiment score
7.8
BigQuery excels in scalability and resource management, supporting large data with seamless auto-scaling despite some processing limitations.
Sentiment score
6.1
IBM Netezza struggles with scalability, requiring extra hardware for expansion, prompting users to consider cloud alternatives for growth.
It is a 10 out of 10 in terms of scalability.
Chief Technical Lead at a consultancy with 201-500 employees
The scalability is definitely good because we are migrating to the cloud since the computers on the premises or the big database we need are no longer enough.
Expert Analyst at a healthcare company with 5,001-10,000 employees
It is provided as a pre-configured box, and scaling is not an option.
Project Manager at MAF Retail
 

Stability Issues

Sentiment score
8.3
BigQuery is a stable, efficient cloud analytics tool, with minor scalability challenges and reliable Google support for large-scale data handling.
Sentiment score
7.8
IBM Netezza Performance Server is stable, offering high uptime and reliable performance, with occasional issues due to maintenance or compatibility.
 

Room For Improvement

BigQuery struggles with special character restrictions, high costs, complex optimization, and lacks user-friendly integration and performance flexibility.
IBM Netezza struggles with scalability, user interface, query performance, big data support, and high costs, needing better tools and integration.
Troubleshooting requires opening each pipeline individually, which is time-consuming.
Sr. Team Lead - IT at InfoStretch
BigQuery is already integrating Gemini AI into the data extraction process directly in order to reduce costs.
Chief Technical Lead at a consultancy with 201-500 employees
In general, if I know SQL and start playing around, it will start making sense.
Expert Analyst at a healthcare company with 5,001-10,000 employees
The cloud version is only available in AWS, and in the Middle East, it is not well-developed in the Azure environment.
Project Manager at MAF Retail
 

Setup Cost

BigQuery provides flexible pricing with pay-as-you-go models, $300 credits, and competitive costs requiring mindful usage to control expenses.
IBM Netezza offers high performance and low maintenance but is considered costly, especially for mid-sized organizations, with significant licensing fees.
Being able to optimize the queries to data is critical. Otherwise, you could spend a fortune.
Chief Technical Lead at a consultancy with 201-500 employees
The price is perceived as expensive, rated at eight out of ten in terms of costliness.
Sr. Team Lead - IT at InfoStretch
 

Valuable Features

BigQuery excels in scalability, speed, and usability with serverless architecture, SQL support, and cost-effective data processing capabilities.
IBM Netezza Performance Server delivers fast analytics, ease of use, robust support, and efficient data warehousing with minimal maintenance.
It is really fast because it can process millions of rows in just a matter of one or two seconds.
Expert Analyst at a healthcare company with 5,001-10,000 employees
The features I find most valuable in this solution are the ability to run and handle large data sets in a very efficient way with multiple types of data, relational as SQL data.
Chief Technical Lead at a consultancy with 201-500 employees
BigQuery processes a substantial amount of data, whether in gigabytes or terabytes, swiftly producing desired data within one or two minutes.
Sr. Team Lead - IT at InfoStretch
It operates as a high-speed data warehouse, which is essential for handling big data.
Project Manager at MAF Retail
 

Categories and Ranking

BigQuery
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
42
Ranking in other categories
Cloud Data Warehouse (4th)
IBM Netezza Performance Server
Average Rating
7.8
Reviews Sentiment
6.9
Number of Reviews
45
Ranking in other categories
Data Warehouse (13th), Hadoop (7th)
 

Featured Reviews

Luís Silva - PeerSpot reviewer
Chief Technical Lead at a consultancy with 201-500 employees
Handles large data sets efficiently and offers flexible data management capabilities
The features I find most valuable in this solution are the ability to run and handle large data sets in a very efficient way with multiple types of data, relational as SQL data. It is kind of difficult to explain, but structured data and the ability to handle large data sets are key features. The data integration capabilities in BigQuery were, in fact, an issue at the beginning. There are two types of integrations. As long as integration is within Google, it is pretty simple. When you start to try to connect external clients to that data, it becomes more complex. It is not related to BigQuery, it is related to Google security model, which is not easy to manage. I would not call it an integration issue of BigQuery, I would call it an integration issue of Google security model.
Shiv Subramaniam Koduvayur - PeerSpot reviewer
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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Use our free recommendation engine to learn which Cloud Data Warehouse solutions are best for your needs.
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Comparison Review

it_user232068 - PeerSpot reviewer
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…
 

Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
13%
Manufacturing Company
13%
Retailer
7%
Financial Services Firm
23%
Manufacturing Company
8%
Healthcare Company
5%
Insurance Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise9
Large Enterprise20
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise5
Large Enterprise33
 

Questions from the Community

What do you like most about BigQuery?
The initial setup process is easy.
What is your experience regarding pricing and costs for BigQuery?
I believe the cost of BigQuery is competitive versus the alternatives in the market, but it can become expensive if the tool is not used properly. It is on a per-consumption basis, the billing, so ...
What needs improvement with BigQuery?
There are areas that could be improved with BigQuery, such as more bolt-on capabilities and the ability to use more bolt-ons for APIs. Having more of a library of connectors would be really benefic...
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...
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...
 

Also Known As

No data available
Netezza Performance Server, Netezza, Netezza Analytics
 

Overview

 

Sample Customers

Information Not Available
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 BigQuery vs. IBM Netezza Performance Server and other solutions. Updated: December 2025.
881,114 professionals have used our research since 2012.