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Cloudera Distribution for Hadoop vs QueryIO comparison

Cloudera and QueryIO are both solutions in the Hadoop category. Cloudera is ranked #2 with an average rating of 8.3, while QueryIO is ranked #13. Cloudera holds a 24.2% mindshare in H, compared to QueryIO’s 0.8% mindshare. Additionally, 92% of Cloudera users are willing to recommend the solution, compared to 100% of QueryIO users who would recommend it.
Cloudera Distribution for H...
Read 50 Cloudera Distribution for Hadoop reviews
  • 1,960 Views
  • 1,333 Comparison Views
92% willing to recommend
QueryIO
Read 1 QueryIO review
  • 85 Views
  • 76 Comparison Views
100% willing to recommend
 

Comparison Buyer's Guide

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

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Buyer's Guide
Hadoop
July 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)
QueryIO
Ranking in Hadoop
13th
Average Rating
8.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of July 2025, in the Hadoop category, the mindshare of Cloudera Distribution for Hadoop is 24.2%, up from 24.3% compared to the previous year. The mindshare of QueryIO is 0.8%, up from 0.7% 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
MR
Stable with good connectivity and good integration capabilities
Data cleansing is not intuitive and user-friendly. When things have errors, you have to hunt them down as opposed to the solution simply showing you intuitively where to find it. I would recommend that they look at that Tableau Prep tool and see how it is pieced together. That's a great data cleansing tool. If Microsoft has something like that, then we wouldn't even have to look at some of the other options. There needs to be some simplification of the user interface. Right now it's too complicated. There isn't a way to put controls on the solution, so anyone can use any part of it, and sometimes novices will go and try to create things, but not know enough about what is official and what is published. It would be ideal if we could segment off certain sections so that not everyone had access to the whole solution. I'd like to see something more of a mapping tool so that you could see how the reports are connected, similar to Tableau Prep and Naim. That would make for a pretty useful diagnostics check. People would be better able to understand the linkage between your datasets. It would be nice if the solution offered some templates. It would make it even more plug and play, and give people a good jumping-off point. After that, they could explore other bells and whistles as they get further into understanding the solution. The solution should work in some virtualization. It would be a good added feature. If this product had those things then I wouldn't need to use other products.
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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 tool's most interesting features are the distributed file system and unstructured data processing capability. Because we have a lot of unstructured data, like XML and social media logs, these features make it more valuable than the usual data warehousing solutions."
"I don't see any performance issues."
"Provides a viable open-source solution for enterprise implementations and reliable, intelligent data analysis."
"This is the only solution that is possible to install on-premise."
"The product as a whole is good."
"Cloudera provides a hybrid solution that combines compute on cloud or on-premises."
"Cloudera, as a whole, is designed to provide organizations with solutions for big data."
"With a cluster available, you can manage the security layer using the shared SDX - it provides flexibility."
More Cloudera Distribution for Hadoop pros
"Anyone who has even a little bit of knowledge of the solution can begin to create things. You don't have to be technical to use the solution."
 

Cons

"The solution is not fit for on-premise distributions."
"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."
"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."
"There are multiple bugs when we update."
"The procedure for operations could be simplified."
"The performance of some analytics engines provided by Cloudera is not that good."
"There are better solutions out there that have more features than this one."
"I would like to see an improvement in how the solution helps me to handle the whole cluster."
More Cloudera Distribution for Hadoop cons
"There needs to be some simplification of the user interface."
 

Pricing and Cost Advice

"The product’s price depends from project to project."
"The price is very high. The solution is expensive."
"Cloudera Distribution for Hadoop is expensive, with support costs involved."
"The pricing must be improved."
"Cloudera requires a license to use."
"I wouldn't recommend CDH to others because of its high cost."
"The solution is expensive."
"It is an expensive product."
More Cloudera Distribution for Hadoop pricing and cost advice
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Top Industries

By visitors reading reviews
Financial Services Firm
22%
Educational Organization
15%
Computer Software Company
14%
Energy/Utilities Company
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

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.
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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.
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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...
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Compared 6% of the time
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No data available
 

Product Reports

Buyer's Guide
Cloudera Distribution for Hadoop
July 2025
Cloudera Distribution for Hadoop reportDownload Cloudera Distribution for Hadoop product report
Buyer's Guide
Hadoop
July 2025
QueryIO reportDownload QueryIO 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
QueryIO is a Hadoop-based SQL and Big Data Analytics solution, used to store, structure, analyze and visualize vast amounts of structured and unstructured Big Data. It is especially well suited to enable users to process unstructured Big Data, give it a structure and support querying and analysis of this Big Data using standard SQL syntax. QueryIO enables you to leverage the vast and mature infrastructure built around SQL and relational databases and utilize it for your Big Data Analytics needs.
QueryIO
 

Sample Customers

37signals, Adconion,adgooroo, Aggregate Knowledge, AMD, Apollo Group, Blackberry, Box, BT, CSC
Information Not Available
Buyer's Guide
Hadoop
July 2025
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