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."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."
"It allows users to access the data through a web interface."
"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 project management is very streamlined."
"When we grade big jobs from on-prem to the cloud, we do it in EMR with Spark."
"The initial setup is pretty straightforward."
"In Amazon EMR it is easy to rebuild anything, easy to upgrade and has good fault tolerance."
"Amazon EMR is a good solution that can be used to manage big data."
"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."
"It is a scalable platform."
"Distributed computing, secure containerization, and governance capabilities are the most valuable features."
"The data platform is pretty neat. The workflow is also really good."
"Ambari Web UI: user-friendly."
"Ranger for security; with Ranger we can manager user’s permissions/access controls very easily."
"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 product offers a fairly easy setup process."
"The initial setup was time-consuming."
"The product must add some of the latest technologies to provide more flexibility to the users."
"The problem for us is it starts very slow."
"The product's features for storing data in static clusters could be better."
"There is no need to pay extra for third-party software."
"Modules and strategies should be better handled and notified early in advance."
"The legacy versions of the solution are not supported in the new versions."
"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."
"I work a lot with banking, IT and communications customers. Hortonworks must improve or must upgrade their services for these sectors."
"The version control of the software is also an issue."
"Deleting any service requires a lot of clean up, unlike Cloudera."
"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."
"It's at end of life and no longer will there be improvements."
"It would also be nice if there were less coding involved."
"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 Cloudera Distribution for Hadoop, Snowflake, Amazon Redshift, Azure Data Factory and SAP HANA, 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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