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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 (7th)
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 November 2024, in the Hadoop category, the mindshare of Cloudera Distribution for Hadoop is 27.1%, up from 22.7% compared to the previous year. The mindshare of Netezza Analytics is 1.4%, up from 1.0% 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

"The solution is reliable and stable, it fits our requirements."
"We're now able to store large volumes of data through Cloudera Distribution for Hadoop. We're able to push large volumes of data to the platform, and that used to be a challenge, especially when storing a terabyte of information. This is the area where Cloudera Distribution for Hadoop improved the organization."
"Very good end-to-end security features."
"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."
"Provides a viable open-source solution for enterprise implementations and reliable, intelligent data analysis."
"The product is completely secure."
"The features I find most valuable is that the solution is that it is easy to install and to work with. It starts with the installation and from there on the management is very simple and centralized."
"The solution's most valuable feature is the enterprise data platform."
"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 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."
"The most valuable feature is the performance."
"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."
"Data compression. It was relatively impressive. I think at some point we were getting 4:1 compression if not more."
 

Cons

"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 solution is not fit for on-premise distributions."
"This is a very expensive solution."
"Without the big data environment, we cannot store all of this data live. We have billions of records and terabytes of storage to be used. It's not an option actually for us to have a big data environment."
"Cloudera Distribution for Hadoop is not always completely stable in some cases, which can be a concern for big data solutions."
"It would be useful if Cloudera had more tools like SQL Engines that offer the traditional relational database. We have to do a lot of work preparing the data outside Cloudera before getting it into the platform."
"The solution does not support multiple languages very well and this means users need to create work-arounds to implement some solutions."
"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."
"In-DB processing with SAS Analytics, since this is supposed to be an analytics server so the expectation is there."
"The most valuable features of this solution are robustness and support."
"The hardware has a risk of failure. They need to improve this."
"The solution could implement more reporting tools and networking utilities."
"I'm not sure of IBM's roadmap currently, as the solution is coming up on its end of life."
"Disaster recovery support. Because it was an appliance, and if you wanted to support disaster recovery, you needed to buy two."
"This product is being discontinued from IBM, and I would like to have some kind of upgrade available."
"The Analytics feature should be simplified."
 

Pricing and Cost Advice

"I wouldn't recommend CDH to others because of its high cost."
"The pricing must be improved."
"The price is very high. The solution is expensive."
"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."
"The tool is not expensive."
"I believe we pay for a three-year license."
"When comparing with Oracle Sybase and SQL, it's cheaper. It's not expensive."
"I haven't bought a license for this solution. I'm only using the Apache license version."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
23%
Computer Software Company
15%
Educational Organization
10%
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: October 2024.
816,406 professionals have used our research since 2012.