Cloudera Distribution for Hadoop vs QueryIO comparison

Cloudera and QueryIO are both solutions in the Hadoop category. Cloudera is ranked #1 with an average rating of 8.2, while QueryIO is ranked #11. Cloudera holds a 21.9% mindshare in H, compared to QueryIO’s 1.1% 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 51 Cloudera Distribution for Hadoop reviews

1,737 Views
1,112 Comparison Views

92% willing to recommend

QueryIO

Read 1 QueryIO review

102 Views
91 Comparison Views

100% willing to recommend

Cloudera Distribution for H...

QueryIO

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Executive Summary

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

Find out what your peers are saying about Cloudera, Apache, Amazon Web Services (AWS) and others in Hadoop.

To learn more, read our detailed Hadoop Report (Updated: September 2025).

Buyer's Guide

Hadoop

September 2025

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Helped 868,759 peers since 2012

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

1st

Average Rating

8.0

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

NoSQL Databases (8th)

QueryIO

Ranking in Hadoop

11th

Average Rating

8.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of October 2025, in the Hadoop category, the mindshare of Cloudera Distribution for Hadoop is 21.9%, down from 26.4% compared to the previous year. The mindshare of QueryIO is 1.1%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Hadoop Market Share Distribution
Product	Market Share (%)
Cloudera Distribution for Hadoop	21.9%
QueryIO	1.1%
Other	77.0%

Hadoop

Featured Reviews

Rok Dolinsek

Manager, Bussines Development & Co Owner at Troia d.o.o.

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.

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Marco Reyes

Manager of Process & Systems / Solutions Architect / BI Developer at HENKEL FRANCE

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

"Very good end-to-end security features."

"The product provides better data processing features than other tools."

"With a cluster available, you can manage the security layer using the shared SDX - it provides flexibility."

"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."

"We experienced many issues when we started working with Hadoop 3.0 in the Cloudera 6.0 version, so there are a lot of things that need to improve. I believe they are working on that."

"The solution is reliable and stable, it fits our requirements."

"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."

"Cloudera Distribution for Hadoop provides numerous features and capabilities combined into one platform, offers power processing, supports different file systems and query engines, and provides parallel processing for handling many requests."

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 competitors provide better functionalities."

"The price of this solution could be lowered."

"Cloudera Distribution for Hadoop has a limited feature list and a lot of costs involved."

"The performance of some analytics engines provided by Cloudera is not that good."

"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 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."

"The solution does not support multiple languages very well and this means users need to create work-arounds to implement some solutions."

More Cloudera Distribution for Hadoop cons

"There needs to be some simplification of the user interface."

Pricing and Cost Advice

"I haven't bought a license for this solution. I'm only using the Apache license version."

"The solution is fairly 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 price is very high. The solution is expensive."

"Cloudera Distribution for Hadoop is expensive, with support costs involved."

"Cloudera requires a license to use."

"The price could be better for the product."

"The pricing must be improved."

More Cloudera Distribution for Hadoop pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Educational Organization

18%

Computer Software Company

11%

Energy/Utilities Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	16
Midsize Enterprise	9
Large Enterprise	31

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.

See all answers

What needs improvement with Cloudera Distribution for Hadoop?

If they could support modifying the data more easily than the current implementation, it would be beneficial.

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Comparisons

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Compared 21% of the time

MongoDB Enterprise Advanced vs Cloudera Distribution for Hadoop

Compared 14% of the time

Couchbase Enterprise vs Cloudera Distribution for Hadoop

Compared 13% of the time

Apache Spark vs Cloudera Distribution for Hadoop

Compared 9% of the time

More Cloudera Distribution for Hadoop Competitors

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Product Reports

Buyer's Guide

Cloudera Distribution for Hadoop

September 2025

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Buyer's Guide

Hadoop

September 2025

Download 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

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Find out what your peers are saying about Cloudera, Apache, Amazon Web Services (AWS) and others in Hadoop. Updated: September 2025.

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