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 #16. Cloudera holds a 27.8% mindshare in H, compared to QueryIO’s 0.5% 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 49 Cloudera Distribution for Hadoop reviews

1,945 Views
1,556 Comparison Views

92% willing to recommend

QueryIO

Read 1 QueryIO review

49 Views
33 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 Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop.

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

Buyer's Guide

Hadoop

January 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

Ranking in other categories

NoSQL Databases (8th)

QueryIO

Ranking in Hadoop

16th

Average Rating

8.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2025, in the Hadoop category, the mindshare of Cloudera Distribution for Hadoop is 27.8%, up from 23.5% compared to the previous year. The mindshare of QueryIO is 0.5%, down from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Hadoop

Featured Reviews

Miodrag-Stanic

Senior Architect at Yettel

You can manage all services from one place in an integrated manner

We switched to Airflow because Cloudera is outdated. It's not widely used. It would be good if we had the Spark 3.5. Spark is quite old. Cloudera is now offering an alternate solution as a replacement for AWS. AWS works badly with small files. The solution is not fit for on-premise distributions. It should be containerized so we can deploy it as containers within Kubernetes. We had one upgrade from CDH to CDP, which lasted for a long time. And I would expect with containerized deployment, it would be upgraded much more quickly than we had the experience.

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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

"I don't see any performance issues."

"The main advantage is the storage is less expensive."

"The file system is a valuable feature."

"Cloudera is a very manageable solution with good support."

"The most valuable feature is Impala, the querying engine, which is very fast."

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

"The solution's most valuable feature is the enterprise data platform."

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

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

"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."

"There are better solutions out there that have more features than this one."

"The procedure for operations could be simplified."

"The governance aspect of the solution should be improved."

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

"The Cloudera training has deteriorated significantly."

"While the deployed product is generally functional, there are instances where it presents difficulties."

"The initial setup of Cloudera is difficult."

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."

"I wouldn't recommend CDH to others because of its high cost."

"The tool is not expensive."

"The price could be better for the product."

"I believe we pay for a three-year license."

"It is an expensive product."

"The product’s price depends from project to project."

More Cloudera Distribution for Hadoop pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

23%

Computer Software Company

14%

Educational Organization

11%

Manufacturing Company

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 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...

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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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Product Reports

Buyer's Guide

Cloudera Distribution for Hadoop

January 2025

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Buyer's Guide

Hadoop

January 2025

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Cloudera

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QueryIO

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.

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.

Sample Customers

37signals, Adconion,adgooroo, Aggregate Knowledge, AMD, Apollo Group, Blackberry, Box, BT, CSC

Information Not Available

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

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