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Cloudera Distribution for Hadoop pros and cons

Vendor: Cloudera
4.0 out of 5
Badge Leader

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

it_user347172 - PeerSpot reviewer
System Engineer at a tech company with 10,001+ employees
Nov 27, 2015
For the clusters using CM, we are able to more tightly control and manage the configuration of all nodes in the clusters.
it_user347535 - PeerSpot reviewer
Software Engineer at a tech services company with 501-1,000 employees
Nov 28, 2015
It made Hadoop easy to use and made it easy to get started.
it_user347565 - PeerSpot reviewer
Lead Bigdata Developer at a tech services company with 10,001+ employees
Nov 28, 2015
We used it to build an enterprise data hub.
Learn what your peers think about Cloudera Distribution for Hadoop. Get advice and tips from experienced pros sharing their opinions. Updated: March 2026.
884,933 professionals have used our research since 2012.
it_user345477 - PeerSpot reviewer
Software Design Engineer at a marketing services firm with 501-1,000 employees
Nov 28, 2015
Implement the free version as it provides enough services.
it_user347592 - PeerSpot reviewer
Senior Analyst - Strategy Analytics at a consultancy with 10,001+ employees
Nov 28, 2015
We were able to utilize data which was untapped previously.
it_user347787 - PeerSpot reviewer
Lead Instructor at a tech company with 501-1,000 employees
Nov 29, 2015
Professional support enabled us to provide great customer service and our clients are able to perform proactive maintenance in an efficient manner.
it_user357645 - PeerSpot reviewer
Data/Big Data Architect at a healthcare company with 1,001-5,000 employees
Dec 16, 2015
Cloudera won as it had more functionality with HUE, Sqoop, and Solr as built-in functions.
it_user364431 - PeerSpot reviewer
Consultant at a tech consulting company with 51-200 employees
Jan 4, 2016
Very solid. Excellent user experience. good documentation.
it_user363186 - PeerSpot reviewer
Team Lead / Data Architect at a tech services company with 51-200 employees
Jan 5, 2016
I am very comfortable with this product.
it_user370224 - PeerSpot reviewer
Director of Data Management at a media company with 51-200 employees
Jan 14, 2016
Improved Business Intelligence reporting from daily to every two hours satisfying the business stakeholders who would favour transactional systems to draft reports because it had the latest data.
 

Cloudera Distribution for Hadoop Cons review quotes

it_user347172 - PeerSpot reviewer
System Engineer at a tech company with 10,001+ employees
Nov 27, 2015
Cloudera 5 is currently very unstable. Between two Cloudera 5 clusters, we have an incident at least twice a week due to what are now outstanding bugs.
it_user347535 - PeerSpot reviewer
Software Engineer at a tech services company with 501-1,000 employees
Nov 28, 2015
The licensing was by node.
it_user347565 - PeerSpot reviewer
Lead Bigdata Developer at a tech services company with 10,001+ employees
Nov 28, 2015
Apache Kudu needs improvement. It's a real-time updatable database.
Learn what your peers think about Cloudera Distribution for Hadoop. Get advice and tips from experienced pros sharing their opinions. Updated: March 2026.
884,933 professionals have used our research since 2012.
it_user345477 - PeerSpot reviewer
Software Design Engineer at a marketing services firm with 501-1,000 employees
Nov 28, 2015
We're currently trying to perform a failed installation and it's little bit difficult. It should restart the installation where it left off.
it_user347592 - PeerSpot reviewer
Senior Analyst - Strategy Analytics at a consultancy with 10,001+ employees
Nov 28, 2015
It needs more standardized documentation on Hive.
it_user347787 - PeerSpot reviewer
Lead Instructor at a tech company with 501-1,000 employees
Nov 29, 2015
Spark with R integration is missing. Also, it is lacking Spark SQL support.
it_user357645 - PeerSpot reviewer
Data/Big Data Architect at a healthcare company with 1,001-5,000 employees
Dec 16, 2015
Sometimes the heavy queries do not finish at all.
it_user364431 - PeerSpot reviewer
Consultant at a tech consulting company with 51-200 employees
Jan 4, 2016
More customization, better documentation for the API (basically it's the same for all Cloudera Hadoop components).
it_user363186 - PeerSpot reviewer
Team Lead / Data Architect at a tech services company with 51-200 employees
Jan 5, 2016
We found some difficulties when importing Hive tables from another cluster.
it_user370224 - PeerSpot reviewer
Director of Data Management at a media company with 51-200 employees
Jan 14, 2016
Cloudera CDH5.5.x does not support SparkR.