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Cloudera Distribution for Hadoop vs Netezza Analytics comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Cloudera Distribution for H...
Ranking in Hadoop
2nd
Average Rating
8.0
Reviews Sentiment
6.4
Number of Reviews
49
Ranking in other categories
NoSQL Databases (8th)
Netezza Analytics
Ranking in Hadoop
11th
Average Rating
7.4
Number of Reviews
11
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of December 2024, in the Hadoop category, the mindshare of Cloudera Distribution for Hadoop is 28.2%, up from 23.1% compared to the previous year. The mindshare of Netezza Analytics is 1.5%, up from 1.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Hadoop
 

Featured Reviews

Shahan Rehman - PeerSpot reviewer
Can host multiple technologies and help businesses with their AI initiatives
The ease or difficulty in setting up the product depends on the environment of the customer where the tool is deployed. If a banking, industrial, or retail sector firm is taken into concentration, depending on how big of a database is maintained, including the applications that are to be hosted, the deployment process can range from a simple to a very complex phase, depending on the architecture. For Cloudera Distribution for Hadoop, one has to go through the usual deployment process, like for any software product. You have to have different environments before going into production, like pre-production environments, test and dev environments. You install and configure all the components in the test environment and then test them on the pre-production environment. Once UAT is done, you move them to the production environment. In general, it's a critical product deployed in a company.
Asish Govind - PeerSpot reviewer
Stable with limited administration needed but it's coming up on its end of life
I'm not sure if Netezza offers a cloud version of the solution or not, but if they don't they should. Most companies are focused on moving towards the cloud. If it was on a cloud it would offer certain scalability and performance aspects it can't offer as a physical appliance. I'm not sure of IBM's roadmap currently, as the solution is coming up on its end of life.

Quotes from Members

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

Pros

"CDH has a wide variety of proprietary tools that we use, like Impala. So from that perspective, it's quite useful as opposed to something open-source. We get a lot of value from Cloudera's proprietary tools."
"The data science aspect of the solution is valuable."
"I don't see any performance issues."
"The scalability of Cloudera Distribution for Hadoop is excellent."
"We also really like the Cloudera community. You can have any question and will have your answer within a few hours."
"The most valuable feature is that I can use CDH for almost all use cases across all industries, including the financial sector, public sector, private retailers, and so on."
"The main advantage is the storage is less expensive."
"It is helpful to gather and process data."
"Data compression. It was relatively impressive. I think at some point we were getting 4:1 compression if not more."
"The need for administration involvement is quite limited on the solution."
"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."
"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."
"The most valuable feature is the performance."
 

Cons

"The procedure for operations could be simplified."
"The one thing that we struggled with predominately was support. Because it was relatively new, support was always a big issue and I think it's still a bit of an ongoing concern with the team currently managing it."
"We experienced many issues when we started working with Hadoop 3.0 in the Cloudera 6.0 version, so there is a lot of things that need to improve."
"The security of this solution could be improved. There should also be a way to basically have a blockchain enabled storage with the HDFS."
"The areas of improvement depend on the scale of the project. For banking customers, security features and an essential budget for commercial licenses would be the top priority. Data regulation could be the most crucial for a project with extensive data or an extra use case."
"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."
"It could be faster and more user-friendly."
"The tool's ability to be deployed on a cloud model is an area of concern where improvements are required."
"The most valuable features of this solution are robustness and support."
"In-DB processing with SAS Analytics, since this is supposed to be an analytics server so the expectation is there."
"The hardware has a risk of failure. They need to improve this."
"This product is being discontinued from IBM, and I would like to have some kind of upgrade available."
"I'm not sure of IBM's roadmap currently, as the solution is coming up on its end of life."
"The solution could implement more reporting tools and networking utilities."
"Administration of this product is too tough. It's very complex because of the tools which it's missing."
"Disaster recovery support. Because it was an appliance, and if you wanted to support disaster recovery, you needed to buy two."
 

Pricing and Cost Advice

"The product’s price depends from project to project."
"The price could be better for the product."
"The price is very high. The solution is expensive."
"The solution is fairly expensive."
"The pricing must be improved."
"The tool is expensive...For the SMB market or customers whose environments are not that complex and do not have multiple systems running, Cloudera might not be a good option."
"Cloudera Distribution for Hadoop is expensive, with support costs involved."
"The solution is expensive."
"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
23%
Computer Software Company
15%
Educational Organization
11%
Manufacturing Company
8%
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.
What is your experience regarding pricing and costs for Cloudera Distribution for Hadoop?
The tool is expensive. Overall, it's not a cheap software tool, and that is why only large enterprises who are mature enough and have an architecture that is complex enough opt for Cloudera, as its...
What needs improvement with Cloudera Distribution for Hadoop?
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. ...
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Sample Customers

37signals, Adconion,adgooroo, Aggregate Knowledge, AMD, Apollo Group, Blackberry, Box, BT, CSC
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Find out what your peers are saying about Cloudera Distribution for Hadoop vs. Netezza Analytics and other solutions. Updated: December 2024.
824,067 professionals have used our research since 2012.