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."When we grade big jobs from on-prem to the cloud, we do it in EMR with Spark."
"Amazon EMR is a good solution that can be used to manage big data."
"This is the best tool for hosts and it's really flexible and scalable."
"The project management is very streamlined."
"The initial setup is pretty straightforward."
"The initial setup is straightforward."
"It has a variety of options and support systems."
"In Amazon EMR it is easy to rebuild anything, easy to upgrade and has good fault tolerance."
"The upgrades and patches must come from Hortonworks."
"We use it for data science activities."
"The data platform is pretty neat. The workflow is also really good."
"Ranger for security; with Ranger we can manager user’s permissions/access controls very easily."
"Hortonworks should not be expensive at all to those looking into using it."
"Distributed computing, secure containerization, and governance capabilities are the most valuable features."
"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."
"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."
"There were times where they would release new versions and it seemed to end up breaking old versions, which is very strange."
"The most complicated thing is configuring to the cluster and ensure it's running correctly."
"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."
"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's features for storing data in static clusters could be better."
"There is no need to pay extra for third-party software."
"The dashboard management could be better. Right now, it's lacking a bit."
"The cost of the solution is high and there is room for improvement."
"The version control of the software is also an issue."
"More information could be there to simplify the process of running the product."
"I work a lot with banking, IT and communications customers. Hortonworks must improve or must upgrade their services for these sectors."
"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."
"Deleting any service requires a lot of clean up, unlike Cloudera."
"Hive performance. If Hive performance increased, Hadoop would replace (not everywhere) traditional databases."
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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