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Cloudera Distribution for Hadoop vs Netezza Analytics comparison

Cloudera and IBM are both solutions in the Hadoop category. Cloudera is ranked #2 with an average rating of 8.3, while IBM is ranked #10. Cloudera holds a 25.0% mindshare in H, compared to IBM’s 1.4% mindshare. Additionally, 92% of Cloudera users are willing to recommend the solution, compared to 76% of IBM users who would recommend it.
Cloudera Distribution for H...
Read 50 Cloudera Distribution for Hadoop reviews
  • 1,644 Views
  • 1,275 Comparison Views
92% willing to recommend
Netezza Analytics
Read 11 Netezza Analytics reviews
  • 177 Views
  • 65 Comparison Views
76% willing to recommend
 

Comparison Buyer's Guide

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Executive Summary
We performed a comparison between Cloudera Distribution for Hadoop and Netezza Analytics based on real PeerSpot user reviews.

Find out in this report how the two Hadoop solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

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To learn more, read our detailed Cloudera Distribution for Hadoop vs. Netezza Analytics Report (Updated: April 2025).
Buyer's Guide
Cloudera Distribution for Hadoop vs. Netezza Analytics
April 2025
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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

Cloudera Distribution for H...
Ranking in Hadoop
2nd
Average Rating
8.0
Reviews Sentiment
6.4
Number of Reviews
50
Ranking in other categories
NoSQL Databases (8th)
Netezza Analytics
Ranking in Hadoop
10th
Average Rating
7.4
Number of Reviews
11
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2025, in the Hadoop category, the mindshare of Cloudera Distribution for Hadoop is 25.0%, up from 23.0% compared to the previous year. The mindshare of Netezza Analytics is 1.4%, up from 1.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Hadoop
 

Featured Reviews

Rok Dolinsek - PeerSpot reviewer
Enables on-premise implementation with powerful data processing capabilities
This is the only solution that is possible to install on-premise. Cloudera provides a hybrid solution that combines compute on cloud or on-premises. It includes all machine learning algorithms in the Spark machine learning library. All functionalities needed for a big data platform and ETL are on the platform, eliminating the need for other tools. It is scalable, ready for vertical scaling, and very powerful, offering numerous functionalities and configurations for generative AI.
Read full review
Shiv Subramaniam Koduvayur - PeerSpot reviewer
A robust solution with good support, but a better GUI for database management is needed
The biggest lesson that I have learned from using this solution is that a lot of evaluation should be done before starting. Also, we needed to put a lot of effort into understanding the different functions that the product offers. This allows you to best leverage the capability of the product. I would rate this solution a seven out of ten.
Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The search function is the most valuable aspect of the solution."
"The file system is a valuable feature."
"It has the best proxy, security, and support features compared to open-source products."
"The solution is reliable and stable, it fits our requirements."
"The tool can be deployed using different container technologies, which makes it very scalable."
"The product provides better data processing features than other tools."
"The data science aspect of the solution is valuable."
"The main advantage is the storage is less expensive."
More Cloudera Distribution for Hadoop pros
"The need for administration involvement is quite limited on the solution."
"Data compression. It was relatively impressive. I think at some point we were getting 4:1 compression if not more."
"For me, as an end-user, everything that I do on the solution is simple, clear, and understandable."
"It is a back end for our SSIS, MicroStrategy,, Tableau. All of these are connecting to get the data. To do so we are also using our analytics which is built on the data."
"The most valuable feature is the performance."
"Speed contributes to large capacity."
"The performance of the solution is its most valuable feature. The solution is easy to administer as well. It's very user-friendly. On the technical side, the architecture is simple to understand and you don't need too many administrators to handle the solution."
 

Cons

"It is quite complicated to configure and install. Integrating the platform into an information system is always a challenge, especially when starting with on-premise implementation."
"The initial setup of Cloudera is difficult."
"While the deployed product is generally functional, there are instances where it presents difficulties."
"The tool doesn't support reporting, and relational databases are still the major source of reporting data. Apache Iceberg will be launched soon within the Cloudera cluster for analytical purposes. The Cloudera Machine Learning aspect could be tuned and enhanced to enable us to host some predictive analytics machine learning and AI use cases."
"I would like to see an improvement in how the solution helps me to handle the whole cluster."
"It is quite complicated to configure and install."
"The user infrastructure and user interface needs to be improved, as well as the performance. The GUI needs to be better."
"The competitors provide better functionalities."
More Cloudera Distribution for Hadoop cons
"The Analytics feature should be simplified."
"This product is being discontinued from IBM, and I would like to have some kind of upgrade available."
"The hardware has a risk of failure. They need to improve this."
"Administration of this product is too tough. It's very complex because of the tools which it's missing."
"The solution could implement more reporting tools and networking utilities."
"Disaster recovery support. Because it was an appliance, and if you wanted to support disaster recovery, you needed to buy two."
"I'm not sure of IBM's roadmap currently, as the solution is coming up on its end of life."
"In-DB processing with SAS Analytics, since this is supposed to be an analytics server so the expectation is there."
More Netezza Analytics cons
 

Pricing and Cost Advice

"The pricing must be improved."
"I haven't bought a license for this solution. I'm only using the Apache license version."
"The product’s price depends from project to project."
"The solution is fairly expensive."
"Cloudera requires a license to use."
"The price could be better for the product."
"The solution is expensive."
"I wouldn't recommend CDH to others because of its high cost."
More Cloudera Distribution for Hadoop pricing and cost advice
"The annual licensing fees are twenty-two percent of the product cost."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
25%
Computer Software Company
15%
Educational Organization
13%
Manufacturing Company
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Cloudera Distribution for Hadoop?
The tool can be deployed using different container technologies, which makes it very scalable.
See all answers
What is your experience regarding pricing and costs for Cloudera Distribution for Hadoop?
The price for Cloudera is average, yet it is very good compared to other solutions. It can be deployed on-premises, unlike competitors' cloud-only solutions.
See all answers
What needs improvement with Cloudera Distribution for Hadoop?
It is quite complicated to configure and install. Integrating the platform into an information system is always a challenge, especially when starting with on-premise implementation. Integrating wit...
See all answers
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Compared 18% of the time
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Compared 4% of the time
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Spark SQL vs Netezza Analytics Logo
Spark SQL vs Netezza Analytics
Compared 100% of the time
More Netezza Analytics Competitors
 

Product Reports

Buyer's Guide
Cloudera Distribution for Hadoop
April 2025
Cloudera Distribution for Hadoop reportDownload Cloudera Distribution for Hadoop product report
Buyer's Guide
Netezza Analytics
April 2025
Netezza Analytics reportDownload Netezza Analytics product report
 

Overview

Cloudera Distribution for Hadoop is the world's most complete, tested, and popular distribution of Apache Hadoop and related projects. CDH is 100% Apache-licensed open source and is the only Hadoop solution to offer unified batch processing, interactive SQL, and interactive search, and role-based access controls. More enterprises have downloaded CDH than all other such distributions combined.
Cloudera
IBM Netezza Analytics is an embedded, purpose-built, advanced analytics platform that empowers analytic enterprises to meet and exceed their business demands. As features, it can predict with more accuracy, deliver predictions faster and respond rapidly to changes.
IBM
 

Sample Customers

37signals, Adconion,adgooroo, Aggregate Knowledge, AMD, Apollo Group, Blackberry, Box, BT, CSC
A leading online advertising network
Buyer's Guide
Cloudera Distribution for Hadoop vs. Netezza Analytics
April 2025
Free Report: Cloudera Distribution for Hadoop vs. Netezza Analytics
Find out what your peers are saying about Cloudera Distribution for Hadoop vs. Netezza Analytics and other solutions. Updated: April 2025.
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