Cloudera Distribution for Hadoop Room for Improvement

BImgr677
BI Manager at Discovery Health
The Data Science Workbench doesn't support multiple languages. It needs to support multiple programming languages. We were trying to use Scalar and Python for some solutions we wanted to deploy, but they didn't work properly. As a result, we had to come up with other workaround solutions. If the Data Science Workbench supported multiple programming languages our workflow would be easier and the solutions could be better. Another aspect we would like to see improved is better opportunities for integration. For example, we would like to use H2O machine learning, which is an open-source product, and Cloudera doesn't support H2O. If they could support H2O and also deploy multi-language support on the Cloudera Data Science that would be great. But the biggest thing that would help right now is H2O support. Finally, one other improvement I would suggest is integrating data privacy software into Cloudera. It is not quite complete in this aspect. View full review »
Zjaen Coetzee
Data Management at BCX
The one thing that we struggled with predominately was support. Because it was relatively new, support was always a big issue and I think it's still a bit of an ongoing concern with the team currently managing it. In the next release, I think it would be helpful if there was easier integration into all the other existing data back corners. It will be a big plus as it's a favorite capability. We had to go with a third-party application in order to achieve that. View full review »
Doron Sela
DBA team manager at a financial services firm with 1,001-5,000 employees
I would like to see an improvement in how the solution helps me to handle the whole cluster. For example, when I'm going down to a specific tool, like Kafka, for example, the Cloudera manager doesn't really help me. Then I have to use Google with other Kafka knowledge and tools. View full review »
Find out what your peers are saying about Cloudera, IBM, Hortonworks and others in Hadoop. Updated: January 2020.
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Sumit Chaudhuri
Lead Consultant - Product Development at a tech services company with 10,001+ employees
As such in the product side, I don't have much to comment. But like other upcoming technologies like RPA, AI, GO etc they have ample training materials with variety of USE Cases, which users can understand and aligned with their current requirements. On same ground I didn't see much training materials from Cloudera. View full review »
reviewer1046250
Senior Consultant & Training at a tech services company with 51-200 employees
We experienced many issues when we started working with Hadoop 3.0 in the Cloudera 6.0 version, so there are a lot of things that need to improve. I believe they are working on that. View full review »
Coordinate677
Project Coordinator at a manufacturing company with 1,001-5,000 employees
The user infrastructure and user interface needs to be improved, as well as the performance. The GUI needs to be better. View full review »
Find out what your peers are saying about Cloudera, IBM, Hortonworks and others in Hadoop. Updated: January 2020.
390,232 professionals have used our research since 2012.