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."
"When we grade big jobs from on-prem to the cloud, we do it in EMR with Spark."
"The solution is scalable."
"The solution helps us manage huge volumes of data."
"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's most valuable features are processing speed and data storage capacity."
"The initial setup is pretty straightforward."
"It allows users to access the data through a web interface."
"It is helpful to gather and process data."
"In terms of scalability, if you have enough hardware you can scale out. Scalability doesn't have any issues."
"The product as a whole is good."
"With a cluster available, you can manage the security layer using the shared SDX - it provides flexibility."
"The most valuable feature is Kubernetes."
"The main advantage is the storage is less expensive."
"Cloudera is a very manageable solution with good support."
"The tool can be deployed using different container technologies, which makes it very scalable."
"Amazon EMR is continuously improving, but maybe something like CI/CD out-of-the-box or integration with Prometheus Grafana."
"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 must add some of the latest technologies to provide more flexibility to the users."
"The initial setup was time-consuming."
"There is no need to pay extra for third-party software."
"The most complicated thing is configuring to the cluster and ensure it's running correctly."
"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."
"There were times where they would release new versions and it seemed to end up breaking old versions, which is very strange."
"The user infrastructure and user interface needs to be improved, as well as the performance. The GUI needs to be better."
"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."
"There are multiple bugs when we update."
"Currently, we are using many other tools such as Spark and Blade Job to improve the performance."
"While the deployed product is generally functional, there are instances where it presents difficulties."
"Cloudera Distribution for Hadoop is not always completely stable in some cases, which can be a concern for big data solutions."
"The procedure for operations could be simplified."
"Cloudera Distribution for Hadoop has a limited feature list and a lot of costs involved."
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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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