We performed a comparison between Amazon EMR and Cloudera Distribution for Hadoop based on real PeerSpot user reviews.
Find out in this report how the two Hadoop solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The project management is very streamlined."
"The solution helps us manage huge volumes of data."
"In Amazon EMR it is easy to rebuild anything, easy to upgrade and has good fault tolerance."
"The solution is pretty simple to set up."
"The solution is scalable."
"Amazon EMR is a good solution that can be used to manage big data."
"This is the best tool for hosts and it's really flexible and scalable."
"It allows users to access the data through a web interface."
"The most valuable feature is Kubernetes."
"The solution's most valuable feature is the enterprise data platform."
"I don't see any performance issues."
"Provides a viable open-source solution for enterprise implementations and reliable, intelligent data analysis."
"With a cluster available, you can manage the security layer using the shared SDX - it provides flexibility."
"The most valuable feature is that I can use CDH for almost all use cases across all industries, including the financial sector, public sector, private retailers, and so on."
"We also really like the Cloudera community. You can have any question and will have your answer within a few hours."
"It is helpful to gather and process data."
"There were times where they would release new versions and it seemed to end up breaking old versions, which is very strange."
"The dashboard management could be better. Right now, it's lacking a bit."
"We don't have much control. If we have multiple users, if they want to scale up, the cost will go and increase and we don't know how we can restrict that price part."
"Amazon EMR is continuously improving, but maybe something like CI/CD out-of-the-box or integration with Prometheus Grafana."
"The legacy versions of the solution are not supported in the new versions."
"The problem for us is it starts very slow."
"The most complicated thing is configuring to the cluster and ensure it's running correctly."
"Modules and strategies should be better handled and notified early in advance."
"The areas of improvement depend on the scale of the project. For banking customers, security features and an essential budget for commercial licenses would be the top priority. Data regulation could be the most crucial for a project with extensive data or an extra use case."
"The pricing needs to improve."
"The user infrastructure and user interface needs to be improved, as well as the performance. The GUI needs to be better."
"Cloudera's support is extremely bad and cannot be relied on."
"The tool's ability to be deployed on a cloud model is an area of concern where improvements are required."
"While the deployed product is generally functional, there are instances where it presents difficulties."
"There are multiple bugs when we update."
"The dashboard could be improved."
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Amazon EMR is ranked 3rd in Hadoop with 20 reviews while Cloudera Distribution for Hadoop is ranked 2nd in Hadoop with 47 reviews. Amazon EMR is rated 7.8, while Cloudera Distribution for Hadoop is rated 8.0. The top reviewer of Amazon EMR writes "Provides efficient data processing features and has good scalability ". On the other hand, the top reviewer of Cloudera Distribution for Hadoop writes "Good end-to-end security features and we like that it's cloud independent". Amazon EMR is most compared with Snowflake, Azure Data Factory, Amazon Redshift, Apache Spark and Microsoft Azure Synapse Analytics, whereas Cloudera Distribution for Hadoop is most compared with HPE Ezmeral Data Fabric, Apache Spark, MongoDB, Cassandra and InfluxDB. See our Amazon EMR vs. Cloudera Distribution for Hadoop report.
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We monitor all Hadoop reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
