Cloudera Distribution for Hadoop Reviews and Pricing

reviewer2139891

Technical Presales Engineer at a tech services company with 51-200 employees

Mar 30, 2023

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Provides extensive data storage capacity and ensures better performance

Pros and Cons

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

"They should focus on upgrading their technical capabilities in the market."

What is our primary use case?

We use the solution to maintain our legacy data warehouse for better performance and more extensive storage.

What is most valuable?

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

What needs improvement?

They should work on the solution's pricing. Also, finding resources with good experience in the solution is difficult. Thus, they should upgrade their technical capabilities in the market.

They should add features like AutoML and AutoDev for enhanced machine-learning experiences. In addition, they should consider developing an integration capability similar to Informatica for an end-to-end enterprise solution.

For how long have I used the solution?

We have been using the solution for one year.

Buyer's Guide

Cloudera Distribution for Hadoop

June 2025

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How are customer service and support?

The solution's customer support team could be better. We received their assistance only with installation and configuration.

What's my experience with pricing, setup cost, and licensing?

The solution is expensive. The license costs around 10k.

What other advice do I have?

Cloudera is a cost-effective solution if you need more storage space. In this case, I advise you to opt for it. I rate the solution as an eight out of ten.

Which deployment model are you using for this solution?

On-premises

Disclosure: My company has a business relationship with this vendor other than being a customer. Reseller

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.

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.