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."It has a variety of options and support systems."
"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 ability to resize the cluster is what really makes it stand out over other Hadoop and big data solutions."
"The solution is scalable."
"The initial setup is pretty straightforward."
"Amazon EMR is a good solution that can be used to manage big data."
"The solution is pretty simple to set up."
"When we grade big jobs from on-prem to the cloud, we do it in EMR with Spark."
"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 upgrades and patches must come from Hortonworks."
"Hortonworks should not be expensive at all to those looking into using it."
"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."
"Ambari Web UI: user-friendly."
"Ranger for security; with Ranger we can manager user’s permissions/access controls very easily."
"The product offers a fairly easy setup process."
"The scalability is the key reason why we are on this platform."
"There is no need to pay extra for third-party software."
"There were times where they would release new versions and it seemed to end up breaking old versions, which is very strange."
"There is room for improvement in pricing."
"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."
"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."
"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."
"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."
"Security and workload management need improvement."
"Hive performance. If Hive performance increased, Hadoop would replace (not everywhere) traditional databases."
"The version control of the software is also an issue."
"The cost of the solution is high and there is room for improvement."
"I work a lot with banking, IT and communications customers. Hortonworks must improve or must upgrade their services for these sectors."
"More information could be there to simplify the process of running the product."
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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