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."It has a variety of options and support systems."
"The solution is scalable."
"Amazon EMR is a good solution that can be used to manage big data."
"Amazon EMR's most valuable features are processing speed and data storage capacity."
"The solution is pretty simple to set up."
"The initial setup is pretty straightforward."
"When we grade big jobs from on-prem to the cloud, we do it in EMR with Spark."
"This is the best tool for hosts and it's really flexible and scalable."
"The file system is a valuable feature."
"We're now able to store large volumes of data through Cloudera Distribution for Hadoop. We're able to push large volumes of data to the platform, and that used to be a challenge, especially when storing a terabyte of information. This is the area where Cloudera Distribution for Hadoop improved the organization."
"The search function is the most valuable aspect of the solution."
"The main advantage is the storage is less expensive."
"It is helpful to gather and process data."
"The most valuable feature is Kubernetes."
"We also really like the Cloudera community. You can have any question and will have your answer within a few hours."
"The solution's most valuable feature is the enterprise data platform."
"There is room for improvement in pricing."
"The legacy versions of the solution are not supported in the new versions."
"Amazon EMR is continuously improving, but maybe something like CI/CD out-of-the-box or integration with Prometheus Grafana."
"The most complicated thing is configuring to the cluster and ensure it's running correctly."
"Amazon EMR can improve by adding some features, such as megastore services and HiveServer2. Additionally, the user interface could be better, similar to what Apache service provides, cross-platform services."
"The product's features for storing data in static clusters could be better."
"The problem for us is it starts very slow."
"Modules and strategies should be better handled and notified early in advance."
"There is a maximum of a one-gigabyte block size, which is an area of storage that can be improved upon."
"The solution is not fit for on-premise distributions."
"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."
"There are multiple bugs when we update."
"The user infrastructure and user interface needs to be improved, as well as the performance. The GUI needs to be better."
"Cloudera Distribution for Hadoop has a limited feature list and a lot of costs involved."
"The procedure for operations could be simplified."
"Currently, we are using many other tools such as Spark and Blade Job to improve the performance."
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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, Cassandra, ScyllaDB and MongoDB. See our Amazon EMR vs. Cloudera Distribution for Hadoop report.
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