Cloudera DataFlow pros and cons

Name: Cloudera DataFlow
Brand: Cloudera
Rating: 3.7 (5 reviews)

Vendor: Cloudera

3.7 out of 5

5 reviews
80% willing to recommend

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Pros & Cons summary

Cloudera DataFlow is scalable and robust, offering satisfactory performance with an easy initial setup. It excels in data management and analytics through native connectors compatible with Cloudera's ecosystem. However, extensive transformation coding is required, especially with Python. Considered outdated, it struggles with modern analytics needs and lacks efficiency with R. Memory handling improvements are needed for enhanced performance. Despite challenges, it remains effective for specific data tasks.

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Prominent pros & cons

PROS

Cloudera DataFlow is very scalable and robust.

DataFlow performance is satisfactory.

Initial setup is straightforward.

Most effective features are data management and analytics.

DataFlow offers high efficiency with native connectors for various ecosystems.

CONS

Cloudera DataFlow requires considerable transformation coding, especially with Python and other complex programming languages.

It is considered an outdated legacy offering that does not meet the demands of modern data analysts and scientists.

Using the R language is not straightforward with Cloudera DataFlow, and while it might be possible, it's not optimal for machine learning.

Cloudera DataFlow needs improvements in memory handling for better performance.

Cloudera DataFlow Pros review quotes

Mohamed-Saied

Senior Data Architect at Teradata Corporation

Mar 14, 2025

Cloudera DataFlow is fully compatible with Cloudera's ecosystem and offers high efficiency through native connectors for various ecosystems.

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reviewer2114292

Consultant at a government with 10,001+ employees

Feb 28, 2023

DataFlow's performance is okay.

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Wallace Hugh

Manager at a tech services company with 201-500 employees

Nov 24, 2022

This solution is very scalable and robust.

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Júlio César Gomes Fonseca

Data Scientist at Orys

Jun 23, 2023

The initial setup was not so difficult

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Cloudera DataFlow Cons review quotes

Mohamed-Saied

Senior Data Architect at Teradata Corporation

Mar 14, 2025

Cloudera DataFlow's UI interface could be enhanced significantly. Memory handling can also be improved to be better than it is today.

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reviewer2114292

Consultant at a government with 10,001+ employees

Feb 28, 2023

It's an outdated legacy product that doesn't meet the needs of modern data analysts and scientists.

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Wallace Hugh

Manager at a tech services company with 201-500 employees

Nov 24, 2022

Although their workflow is pretty neat, it still requires a lot of transformation coding; especially when it comes to Python and other demanding programming languages.

Find out what your peers are saying about Cloudera, Broadcom, Databricks and others in Streaming Analytics. Updated: May 2026.

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893,438 professionals have used our research since 2012.

Júlio César Gomes Fonseca

Data Scientist at Orys

Jun 23, 2023

It is not easy to use the R language. Though I don't know if it's possible, I believe it is possible, but it is not the best language for machine learning.

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