Cassandra vs IBM Netezza Performance Server comparison

Apache and IBM are both solutions in the NoSQL Databases category. Additionally, 92% of Apache users are willing to recommend the solution, compared to 89% of IBM users who would recommend it.

Cassandra

Read 25 Cassandra reviews

4,616 Views
2,862 Comparison Views

92% willing to recommend

IBM Netezza Performance Server

Read 45 IBM Netezza Performance Server reviews

5,474 Views
2,901 Comparison Views

89% willing to recommend

Cassandra

IBM Netezza Performance Server

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Executive Summary

We performed a comparison between Cassandra and IBM Netezza Performance Server based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, MongoDB, Redis and others in NoSQL Databases.

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NoSQL Databases

August 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

Cassandra

Average Rating

8.0

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

NoSQL Databases (5th), Vector Databases (12th)

IBM Netezza Performance Server

Average Rating

7.8

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Warehouse (12th), Hadoop (6th)

Featured Reviews

Monirul Islam Khan

Head, Data Integration & Management at a non-profit with 10,001+ employees

Has maintained secure document storage and efficient data distribution with peer-to-peer architecture

The functions or features in Cassandra that I have found most valuable are that it is a distributed system similar to Mongo. It's good enough for comparison with another SQL database, so it's smooth and organized for distributed database system. The peer-to-peer architecture in Cassandra is helpful for network decentralization, and I have already introduced that feature. Cassandra features in peer-to-peer as well as another monitoring, so basically, it's good enough for our service. The tunable consistency level in Cassandra is good, and we are using that feature already. In terms of built-in caching and lightweight transactions in Cassandra, the transaction level is good, and it's optimized, so there are no more issues in that database. Based on my experience, Cassandra is good for document management system, as well as distributed database system, and the automatic recovery process is there. Additionally, the database monitoring system or auditing system is well-comparable with other database systems, so we are actually happy to be using this Cassandra database.

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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 most valuable feature of Cassandra is its fast retrieval. Additionally, the solution can handle large amounts of data. It is the quickest application we use."

"Cassandra offers high availability and fault tolerance, making it suitable for large-scale data storage and real-time processing."

"The solution provided us with more than 100K PNRs a second and because the company was international there was a heavy data write, and at the same time a heavy data read."

"Ability to achieve write speeds 10k tps: Compared to existing, it is 300% percent higher."

"The most valuable features of Cassandra are its scaling capabilities and its non-SQL nature capabilities."

"We have experienced zero downtime using Cassandra, it is highly stable."

"I am satisfied with the performance."

"If you need availability and consistency, you can go with Cassandra."

More Cassandra pros

"The underlying hardware that IBM provides with this appliance is made for a specific purpose, to serve performance on a large amount of data, and to do analytics as well. It is faster, when you compare it to any other product."

"ROI is high because analyst productivity improved drastically."

"Our BI enviroment with Netezza, Cognos and Data Stage has been a great success"

"Earlier there was high latency to query extraction but Netezza has improved the speed for all OLAP operations, helping the organization get business answers right on time."

"Setup is not that complex. Within 24 hours we had everything completed and had copied the dataset from Oracle."

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

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

"The most valuable feature would be the fact that it has been running for awhile in an appliance format."

More IBM Netezza Performance Server pros

Cons

"There were challenges with the query language and the development interface. The query language, in particular, could be improved for better optimization. These challenges were encountered while using the Java SDK."

"While Cassandra can handle NoSQL, I think there should be more flexibility for whole schema design when data is stored in wide columns. Additionally, I believe that eventual consistency should be enhanced."

"We found some issues with the batch inserts when the data volume is large."

"Maybe they can improve their performance in data fetching from a high volume of data sets."

"The disc space is lacking. You need to free it up as you are working."

"Batching bulk data can cause performance issues."

"Depending upon our schema, we can't make ORDER BY or GROUP BY clauses in the product."

"If you have a requirement of aggregation and joints, Cassandra doesn't support a solution that can give the aggregation."

More Cassandra cons

"Concurrency was an issue. If you run small queries it runs well, and the performance is good, however, when you run multiple long queries or multiple joins, it has some concurrency issues."

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

"We found some bugs - boundary conditions mostly."

"The query optimization is crap, and the machine could use more alerting around bad design and bad queries."

"Netezza has a single active host node that can become a performance bottleneck."

"Integration with XML is still not there for nzload utility."

"Matching up with big data. Netezza has been built only for OLAP and structured data, and I think IBM must do something to match it to Hadoop scalability."

"The scalability is not good. They claim it's scalable but it's not, especially in comparison with other solutions."

More IBM Netezza Performance Server cons

Pricing and Cost Advice

"There are licensing fees that must be paid, but I'm not sure if they are paid monthly or yearly."

"Cassandra is a free open source solution, but there is a commercial version available called DataStax Enterprise."

"We pay for a license."

"I don't have the specific numbers on pricing, but it was fairly priced."

"I use the tool's open-source version."

"We are using the open-source version of Cassandra, the solution is free."

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

"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."

"Expensive to maintain compared to other solutions."

"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."

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

"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."

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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

16%

Comms Service Provider

Construction Company

Performing Arts

Financial Services Firm

17%

Outsourcing Company

10%

Construction Company

10%

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	2
Large Enterprise	14

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	6
Large Enterprise	33

Questions from the Community

What is your experience regarding pricing and costs for Cassandra?

The pricing for Cassandra is a little bit high, so it would be better for our community services if they consider community pricing for any non-profit organization like an NGO or other things. It w...

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What needs improvement with Cassandra?

Regarding areas of improvement for Cassandra, currently, we are not facing significant issues. Some issues arise from our vendors like Apache slowness and distribution or load balancing from HAProx...

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What is your primary use case for Cassandra?

My use case for Cassandra is for a document and other unstructured data management system as well as structured data for ultra-poor member community edition, community members' PII information, so ...

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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...

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Comparisons

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Compared 5% of the time

Cloudera Distribution for Hadoop vs Cassandra

Compared 5% of the time

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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

Apache Spark vs IBM Netezza Performance Server

Compared 5% of the time

OpenText Analytics Database (Vertica) vs IBM Netezza Performance Server

Compared 5% of the time

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Product Reports

Buyer's Guide

Cassandra

August 2026

Download Cassandra product report

Buyer's Guide

IBM Netezza Performance Server

August 2026

Download IBM Netezza Performance Server product report

Also Known As

No data available

Netezza Performance Server, Netezza, Netezza Analytics

Overview

Cassandra is a distributed and scalable database management system used for real-time data processing.

It is highly valued for its ability to handle large amounts of data, scalability, high availability, fault tolerance, and flexible data model.

It is commonly used in finance, e-commerce, and social media industries.

Apache

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

1. Apple 2. Netflix 3. Facebook 4. Instagram 5. Twitter 6. eBay 7. Spotify 8. Uber 9. Airbnb 10. Adobe 11. Cisco 12. IBM 13. Microsoft 14. Yahoo 15. Reddit 16. Pinterest 17. Salesforce 18. LinkedIn 19. Hulu 20. Airbnb 21. Walmart 22. Target 23. Sony 24. Intel 25. Cisco 26. HP 27. Oracle 28. SAP 29. GE 30. Siemens 31. Volkswagen 32. Toyota

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

Find out what your peers are saying about Microsoft, MongoDB, Redis and others in NoSQL Databases. Updated: August 2026.

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