Cloudera Distribution for Hadoop Reviews and Pricing

reviewer2392494

Enterprise Data Architect at a pharma/biotech company with 11-50 employees

Jul 5, 2024

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Used for big data analytics, data sharing, and reporting

Pros and Cons

"Cloudera, as a whole, is designed to provide organizations with solutions for big data."

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

What is our primary use case?

We mostly use the solution for big data analytics, data sharing, and reporting.

What is most valuable?

Cloudera, as a whole, is designed to provide organizations with solutions for big data. Cloudera is not one single component. It has many components related to storage, analytics, queries, and processing. All of these components work together to support big data implementation and analytics.

What needs improvement?

The performance of some analytics engines provided by Cloudera is not that good. So, we are using other analytics tools besides Cloudera.

For how long have I used the solution?

I have been using the solution for more than four years.

Buyer's Guide

Cloudera Distribution for Hadoop

June 2026

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Which solution did I use previously and why did I switch?

We also use other tools like DataIQ and Apache Kudu.

What other advice do I have?

I'm working with the solution myself. As a company, we are implementing it for other customers. Cloudera itself does not provide analytics. It prepares data for analytics tools that work with Big Data, such as Apache Spark, DataIQ, and Tableau.

Overall, I rate the solution a nine out of ten.

Disclosure: My company does not have a business relationship with this vendor other than being a customer.