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Cloudera DataFlow pros and cons

Vendor: Cloudera
3.7 out of 5

Pros & Cons summary

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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It is considered an outdated legacy offering that does not meet the demands of modern data analysts and scientists.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 - PeerSpot reviewer
Mar 14, 2025
Cloudera DataFlow is fully compatible with Cloudera's ecosystem and offers high efficiency through native connectors for various ecosystems.
YM
May 9, 2024
The most effective features are data management and analytics.
WH
Nov 24, 2022
This solution is very scalable and robust.
Find out what your peers are saying about Cloudera, VMware, Databricks and others in Streaming Analytics. Updated: March 2025.
845,040 professionals have used our research since 2012.
Júlio César Gomes Fonseca - PeerSpot reviewer
Jun 23, 2023
The initial setup was not so difficult
reviewer2114292 - PeerSpot reviewer
Feb 28, 2023
DataFlow's performance is okay.
 

Cloudera DataFlow Cons review quotes

Mohamed-Saied - PeerSpot reviewer
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.
WH
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.
Júlio César Gomes Fonseca - PeerSpot reviewer
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.
Find out what your peers are saying about Cloudera, VMware, Databricks and others in Streaming Analytics. Updated: March 2025.
845,040 professionals have used our research since 2012.
reviewer2114292 - PeerSpot reviewer
Feb 28, 2023
It's an outdated legacy product that doesn't meet the needs of modern data analysts and scientists.