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."This is the best tool for hosts and it's really flexible and scalable."
"One of the valuable features about this solution is that it's managed services, so it's pretty stable, and scalable as much as you wish. It has all the necessary distributions. With some additional work, it's also possible to change to a Spark version with the latest version of EMR. It also has Hudi, so we are leveraging Apache Hudi on EMR for change data capture, so then it comes out-of-the-box in EMR."
"Amazon EMR is a good solution that can be used to manage big data."
"It has a variety of options and support systems."
"Amazon EMR's most valuable features are processing speed and data storage capacity."
"In Amazon EMR it is easy to rebuild anything, easy to upgrade and has good fault tolerance."
"The solution helps us manage huge volumes of data."
"The solution is pretty simple to set up."
"It is helpful to gather and process data."
"The solution is stable."
"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."
"It has the best proxy, security, and support features compared to open-source products."
"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 search function is the most valuable aspect of the solution."
"The scalability of Cloudera Distribution for Hadoop is excellent."
"Modules and strategies should be better handled and notified early in advance."
"The product must add some of the latest technologies to provide more flexibility to the users."
"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."
"The initial setup was time-consuming."
"The legacy versions of the solution are not supported in the new versions."
"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."
"As people are shifting from legacy solutions to other technologies, Amazon EMR needs to add more features that give more flexibility in managing user data."
"This is a very expensive solution."
"Cloudera Distribution for Hadoop is not always completely stable in some cases, which can be a concern for big data solutions."
"Cloudera Distribution for Hadoop has a limited feature list and a lot of costs involved."
"I would like to see an improvement in how the solution helps me to handle the whole cluster."
"Cloudera's support is extremely bad and cannot be relied on."
"We experienced many issues when we started working with Hadoop 3.0 in the Cloudera 6.0 version, so there is a lot of things that need to improve."
"The Cloudera training has deteriorated significantly."
"The tool's ability to be deployed on a cloud model is an area of concern where improvements are required."
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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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