IBM Db2 Warehouse vs IBM Netezza Performance Server comparison

IBM Db2 Warehouse vs. IBM Netezza Performance Server

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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

IBM Db2 Warehouse

Ranking in Data Warehouse

11th

Average Rating

7.8

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

No ranking in other categories

IBM Netezza Performance Server

Ranking in Data Warehouse

13th

Average Rating

7.8

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Hadoop (6th)

Mindshare comparison

As of March 2026, in the Data Warehouse category, the mindshare of IBM Db2 Warehouse is 3.4%, up from 1.8% compared to the previous year. The mindshare of IBM Netezza Performance Server is 4.4%, up from 3.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Warehouse Mindshare Distribution
Product	Mindshare (%)
IBM Db2 Warehouse	3.4%
IBM Netezza Performance Server	4.4%
Other	92.2%

Data Warehouse

Featured Reviews

Sherpard Muzuva

Senior Technical Manager- IBM Enterprise Systems at SYSTEMS INTEGRATED LTD (SYMPHONY)

Advanced features enhance business intelligence, but complex management calls for improved user guidance

While my experience with IBM Db2 Warehouse is somewhat limited, when compared to other databases such as Oracle, there are areas for improvement. They need to enhance the database to make it more user-friendly and easier to master. They should implement a more comprehensive graphical user interface with additional features. For instance, when users encounter problems, the system should provide better guidelines and troubleshooting directions, except for hardware-related issues. They need to implement tools that would help users perform basic troubleshooting rather than solely relying on support. Other databases have features where users can investigate specific issues using error codes. From my experience, many minor issues could be resolved before escalating to support.

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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

"The analytics engine is not bad at forecasting predictions."

"It can be mounted on the cloud, which is a huge plus. If the client, for example, starts small with on-premise deployment and then it rapidly needs to grow, we can transfer this to the cloud easily."

"IBM Db2 Warehouse is more resilient when dealing with business intelligence applications."

"It's easy and practical to use."

"Some of the best features are stored procedures, parallelism, and different indexing strategies."

"It can scale effectively as long as resources are available."

"The standout feature of IBM Db2 Warehouse, which is particularly valuable for large enterprises, is its ability to handle big data."

"The solution is stable."

More IBM Db2 Warehouse pros

"The benefit is really because of the additional speed that we have and, truth be told, the more updated ETL processes and the revamped scheduler in general."

"This has really helped us to improve the performance of our Data Marts and warehouses."

"Distribution concurrency control."

"We had a lot of POC's on a data warehousing project with the help of Netezza, we have proved that it has really improved time on doing analytics."

"Netezza can process all this amount of data and give a result in less than 40 seconds."

"We can process through more data much faster than we could with prior technologies."

"We now have a single store of critical business metrics in the investment bank."

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

More IBM Netezza Performance Server pros

Cons

"In terms of improvement, IBM Db2 Warehouse should be more scalable."

"It takes a long time to have a new version or release, similar to Oracle."

"Responding to support tickets takes a lot of time. It can range from two to four days, even for critical issues."

"The biggest challenge anyone could have with Db2 Warehouse is their references or online resources and documentation. They are very, very, very limited on the web."

"Lacks sufficient documentation and particularly in Spanish."

"The primary challenges customers face with IBM Db2 Warehouse are related to its complexity in usage. It requires highly skilled professionals who understand Db2, and both training and support are challenging to obtain."

"The biggest problems we have is when the backup solution is failing or slow and we run out of log space, which has happened probably a couple of times in the last four years."

"There should be more material available for training and training should be free."

More IBM Db2 Warehouse cons

"We tried to install a newer version of NZA not supported by the version of Netezza we had and it did not work."

"I'm not sure of IBM's roadmap currently, as the solution is coming up on its end of life."

"In Aginity there should be a way to format the SQL queries."

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

"The Analytics feature should be simplified."

"We found some bugs - boundary conditions mostly."

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

"If the demand for clock or disk space grow over the limit, it will be necessary to change the appliance, because it's not possible to upgrade any component of this machine."

More IBM Netezza Performance Server cons

Pricing and Cost Advice

"In a traditional on-prem database, in a data warehouse, the solution is probably on the expensive side."

"Expensive to maintain compared to other solutions."

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

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

"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."

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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…

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Top Industries

By visitors reading reviews

Financial Services Firm

26%

Manufacturing Company

Government

University

Financial Services Firm

20%

Manufacturing Company

Comms Service Provider

Performing Arts

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	3
Large Enterprise	5

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 IBM Db2 Warehouse?

The pricing for medium and large environments is almost the same as Oracle. I rate the pricing as six out of ten.

What needs improvement with IBM Db2 Warehouse?

What is your primary use case for IBM Db2 Warehouse?

The main advantages of IBM Db2 Warehouse become apparent when dealing with business intelligence applications. I worked with it when it was installed for one of our customers, a utilities company, ...

What needs improvement with IBM Netezza Performance Server?

What is your primary use case for IBM Netezza Performance Server?

I use this solution as a data warehouse.

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...

Snowflake vs IBM Db2 Warehouse

Comparisons

Compared 13% of the time

BigQuery vs IBM Db2 Warehouse

Compared 11% of the time

Amazon Redshift vs IBM Db2 Warehouse

Compared 11% of the time

Magnitude vs IBM Db2 Warehouse

Compared 7% of the time

Oracle Exadata vs IBM Db2 Warehouse

Compared 7% of the time

More IBM Db2 Warehouse Competitors

Snowflake vs IBM Netezza Performance Server

Compared 9% of the time

Oracle Database vs IBM Netezza Performance Server

Compared 6% of the time

Teradata vs IBM Netezza Performance Server

Compared 5% of the time

Oracle Exadata vs IBM Netezza Performance Server

Compared 5% of the time

OpenText Analytics Database (Vertica) vs IBM Netezza Performance Server

Compared 5% of the time

More IBM Netezza Performance Server Competitors

Product Reports

IBM Db2 Warehouse

Download IBM Db2 Warehouse product report

IBM Netezza Performance Server

Download IBM Netezza Performance Server product report

Also Known As

InfoSphere Warehouse, IBM InfoSphere Warehouse

Netezza Performance Server, Netezza, Netezza Analytics

Overview

InfoSphere Warehouse is a suite of products that combines the strength of DB2 with a data warehousing infrastructure from IBM. You can use InfoSphere Warehouse to build a complete data warehousing solution that includes a highly scalable relational database, data access capabilities, and front-end analysis tools.

IBM

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

Alameda County Social Services Agency, Sui Southern Gas Company Limited

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

IBM Db2 Warehouse vs. IBM Netezza Performance Server