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 solution is scalable."
"It has a variety of options and support systems."
"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."
"This is the best tool for hosts and it's really flexible and scalable."
"When we grade big jobs from on-prem to the cloud, we do it in EMR with Spark."
"It allows users to access the data through a web interface."
"In Amazon EMR it is easy to rebuild anything, easy to upgrade and has good fault tolerance."
"The project management is very streamlined."
"The file system is a valuable feature."
"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."
"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."
"It has the best proxy, security, and support features compared to open-source products."
"The main advantage is the storage is less expensive."
"I don't see any performance issues."
"In terms of scalability, if you have enough hardware you can scale out. Scalability doesn't have any issues."
"The most complicated thing is configuring to the cluster and ensure it's running correctly."
"The dashboard management could be better. Right now, it's lacking a bit."
"There is room for improvement in pricing."
"The product's features for storing data in static clusters could be better."
"The initial setup was time-consuming."
"The product must add some of the latest technologies to provide more flexibility to the users."
"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 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."
"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."
"Cloudera Distribution for Hadoop is not always completely stable in some cases, which can be a concern for big data solutions."
"They should focus on upgrading their technical capabilities in the market."
"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."
"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."
"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, MongoDB, Cassandra and ScyllaDB. See our Amazon EMR vs. Cloudera Distribution for Hadoop report.
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