We performed a comparison between Amazon EMR and Hortonworks Data Platform 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."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."
"The solution is scalable."
"The solution helps us manage huge volumes of data."
"The solution is pretty simple to set up."
"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."
"In Amazon EMR it is easy to rebuild anything, easy to upgrade and has good fault tolerance."
"This is the best tool for hosts and it's really flexible and scalable."
"The Hortonworks solution is so stable. It is working as a production system, without any error, without any downtime. If I have downtime, it is mostly caused by the hardware of the computers."
"The upgrades and patches must come from Hortonworks."
"The data platform is pretty neat. The workflow is also really good."
"Hortonworks should not be expensive at all to those looking into using it."
"Ambari Web UI: user-friendly."
"Now, using this solution, it is much cheaper to have all of the data available for searching, not in real-time, but whenever there is a pending request."
"Ranger for security; with Ranger we can manager user’s permissions/access controls very easily."
"We use it for data science activities."
"Modules and strategies should be better handled and notified early in advance."
"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."
"The problem for us is it starts very slow."
"There is room for improvement in pricing."
"The product's features for storing data in static clusters could be better."
"The legacy versions of the solution are not supported in the new versions."
"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."
"I work a lot with banking, IT and communications customers. Hortonworks must improve or must upgrade their services for these sectors."
"The cost of the solution is high and there is room for improvement."
"More information could be there to simplify the process of running the product."
"I would like to see more support for containers such as Docker and OpenShift."
"Hive performance. If Hive performance increased, Hadoop would replace (not everywhere) traditional databases."
"The version control of the software is also an issue."
"Deleting any service requires a lot of clean up, unlike Cloudera."
"Security and workload management need improvement."
Amazon EMR is ranked 3rd in Hadoop with 20 reviews while Hortonworks Data Platform is ranked 6th in Hadoop with 25 reviews. Amazon EMR is rated 7.8, while Hortonworks Data Platform 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 Hortonworks Data Platform writes "Good for secure containerization, and governance capabilities ". Amazon EMR is most compared with Snowflake, Cloudera Distribution for Hadoop, Azure Data Factory, Amazon Redshift and AWS Lake Formation, whereas Hortonworks Data Platform is most compared with Apache Spark, Cloudera DataFlow and HPE Ezmeral Data Fabric. See our Amazon EMR vs. Hortonworks Data Platform report.
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