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Cloudera Distribution for Hadoop Logo

Cloudera Distribution for Hadoop pros and cons

Vendor: Cloudera
4.0 out of 5
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Pros & Cons summary

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Prominent pros & cons

PROS

Cloudera Distribution for Hadoop is highly scalable, supporting expansion with adequate hardware.
It provides a fast and efficient querying engine, Impala, for rapidly processing data.
The platform supports extensive data processing capabilities for unstructured data like XML and social media logs.
Cloudera Distribution for Hadoop offers strong security features and excellent customer service and support.
It integrates various features into one platform, allowing for powerful processing and flexibility in handling large data volumes both on-premise and in the cloud.

CONS

Cloudera Distribution for Hadoop struggles with support, being unreliable and deteriorating over time.
The infrastructure and performance need significant improvement, with better performance engines required.
Pricing is too high, limiting accessibility for some users.
Multiple bugs occur during updates, affecting stability and reliability.
The configuration and installation process is complex and challenging, especially for on-premise setups.
 

Cloudera Distribution for Hadoop Pros review quotes

SA
Head of Advaced Analytics & Intelligence; AGM at Alinma Bank
Aug 11, 2025
Cloudera Distribution for Hadoop provides numerous features and capabilities combined into one platform, offers power processing, supports different file systems and query engines, and provides parallel processing for handling many requests.
Rok Dolinsek - PeerSpot reviewer
Manager, Bussines Development & Co Owner at Troia d.o.o.
Feb 3, 2025
This is the only solution that is possible to install on-premise.
Mohamed-Saied - PeerSpot reviewer
Senior Data Architect at Teradata Corporation
Apr 10, 2024
The tool's most interesting features are the distributed file system and unstructured data processing capability. Because we have a lot of unstructured data, like XML and social media logs, these features make it more valuable than the usual data warehousing solutions.
Learn what your peers think about Cloudera Distribution for Hadoop. Get advice and tips from experienced pros sharing their opinions. Updated: May 2026.
893,244 professionals have used our research since 2012.
Miodrag Milojevic - PeerSpot reviewer
Senior Data Archirect at Yettel
Jul 21, 2023
The scalability of Cloudera Distribution for Hadoop is excellent.
Shahan Rehman - PeerSpot reviewer
Senior Business Development Manager at BBI Consultancy
Mar 21, 2024
The tool can be deployed using different container technologies, which makes it very scalable.
reviewer2352843 - PeerSpot reviewer
Senior IT Application Architect at a insurance company with 5,001-10,000 employees
Mar 1, 2024
The product is completely secure.
Miodrag-Stanic - PeerSpot reviewer
Senior Architect at a comms service provider with 1,001-5,000 employees
Dec 19, 2023
We had a data warehouse before all the data. We can process a lot more data structures.
Thishen Govender - PeerSpot reviewer
BI Manager at Discovery Health
Nov 27, 2023
The data science aspect of the solution is valuable.
LS
Head of Big Data and Analytics Competency center at OTP Bank Hungary
Nov 4, 2022
Very good end-to-end security features.
Atif Tariq - PeerSpot reviewer
Cloud and Big Data Engineer | Developer at Huawei
Nov 20, 2023
Customer service and support were able to fix whatever the issue was.
 

Cloudera Distribution for Hadoop Cons review quotes

SA
Head of Advaced Analytics & Intelligence; AGM at Alinma Bank
Aug 11, 2025
If they could support modifying the data more easily than the current implementation, it would be beneficial.
Rok Dolinsek - PeerSpot reviewer
Manager, Bussines Development & Co Owner at Troia d.o.o.
Feb 3, 2025
It is quite complicated to configure and install.
Mohamed-Saied - PeerSpot reviewer
Senior Data Architect at Teradata Corporation
Apr 10, 2024
The tool doesn't support reporting, and relational databases are still the major source of reporting data. Apache Iceberg will be launched soon within the Cloudera cluster for analytical purposes. The Cloudera Machine Learning aspect could be tuned and enhanced to enable us to host some predictive analytics machine learning and AI use cases.
Learn what your peers think about Cloudera Distribution for Hadoop. Get advice and tips from experienced pros sharing their opinions. Updated: May 2026.
893,244 professionals have used our research since 2012.
Miodrag Milojevic - PeerSpot reviewer
Senior Data Archirect at Yettel
Jul 21, 2023
Cloudera Distribution for Hadoop is not always completely stable in some cases, which can be a concern for big data solutions.
Shahan Rehman - PeerSpot reviewer
Senior Business Development Manager at BBI Consultancy
Mar 21, 2024
The tool's ability to be deployed on a cloud model is an area of concern where improvements are required.
reviewer2352843 - PeerSpot reviewer
Senior IT Application Architect at a insurance company with 5,001-10,000 employees
Mar 1, 2024
The competitors provide better functionalities.
Miodrag-Stanic - PeerSpot reviewer
Senior Architect at a comms service provider with 1,001-5,000 employees
Dec 19, 2023
The solution is not fit for on-premise distributions.
Thishen Govender - PeerSpot reviewer
BI Manager at Discovery Health
Nov 27, 2023
The governance aspect of the solution should be improved.
LS
Head of Big Data and Analytics Competency center at OTP Bank Hungary
Nov 4, 2022
The Cloudera training has deteriorated significantly.
Atif Tariq - PeerSpot reviewer
Cloud and Big Data Engineer | Developer at Huawei
Nov 20, 2023
While the deployed product is generally functional, there are instances where it presents difficulties.