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 ability to resize the cluster is what really makes it stand out over other Hadoop and big data solutions."
"The initial setup is pretty straightforward."
"Amazon EMR is a good solution that can be used to manage big data."
"When we grade big jobs from on-prem to the cloud, we do it in EMR with Spark."
"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."
"Amazon EMR's most valuable features are processing speed and data storage capacity."
"We are using applications, such as Splunk, Livy, Hadoop, and Spark. We are using all of these applications in Amazon EMR and they're helping us a lot."
"The tool can be deployed using different container technologies, which makes it very scalable."
"Provides a viable open-source solution for enterprise implementations and reliable, intelligent data analysis."
"The features I find most valuable is that the solution is that it is easy to install and to work with. It starts with the installation and from there on the management is very simple and centralized."
"It is helpful to gather and process data."
"I don't see any performance issues."
"The data science aspect of the solution is valuable."
"CDH has a wide variety of proprietary tools that we use, like Impala. So from that perspective, it's quite useful as opposed to something open-source. We get a lot of value from Cloudera's proprietary tools."
"The product provides better data processing features than other tools."
"The legacy versions of the solution are not supported in the new versions."
"The dashboard management could be better. Right now, it's lacking a bit."
"Modules and strategies should be better handled and notified early in advance."
"The most complicated thing is configuring to the cluster and ensure it's running correctly."
"The product must add some of the latest technologies to provide more flexibility to the users."
"There is no need to pay extra for third-party software."
"The product's features for storing data in static clusters could be better."
"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 initial setup of Cloudera is difficult."
"Cloudera Distribution for Hadoop is not always completely stable in some cases, which can be a concern for big data solutions."
"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."
"It would be useful if Cloudera had more tools like SQL Engines that offer the traditional relational database. We have to do a lot of work preparing the data outside Cloudera before getting it into the platform."
"The user infrastructure and user interface needs to be improved, as well as the performance. The GUI needs to be better."
"The solution is not fit for on-premise distributions."
"Without the big data environment, we cannot store all of this data live. We have billions of records and terabytes of storage to be used. It's not an option actually for us to have a big data environment."
"While the deployed product is generally functional, there are instances where it presents difficulties."
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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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