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."The initial setup is straightforward."
"The solution helps us manage huge volumes of data."
"It has a variety of options and support systems."
"Amazon EMR's most valuable features are processing speed and data storage capacity."
"This is the best tool for hosts and it's really flexible and scalable."
"The ability to resize the cluster is what really makes it stand out over other Hadoop and big data solutions."
"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."
"When we grade big jobs from on-prem to the cloud, we do it in EMR with Spark."
"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 upgrades and patches must come from Hortonworks."
"Distributed computing, secure containerization, and governance capabilities are the most valuable features."
"The scalability is the key reason why we are on this platform."
"The product offers a fairly easy setup process."
"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."
"Hortonworks should not be expensive at all to those looking into using it."
"The dashboard management could be better. Right now, it's lacking a bit."
"The initial setup was time-consuming."
"Amazon EMR is continuously improving, but maybe something like CI/CD out-of-the-box or integration with Prometheus Grafana."
"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."
"There is no need to pay extra for third-party software."
"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."
"There is room for improvement in pricing."
"The most complicated thing is configuring to the cluster and ensure it's running correctly."
"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."
"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."
"Since Cloudera acquired HDP, it's been bundled with CBH and HDP. However, the biggest challenge is cloud storage integration with Azure, GCP, and AWS."
"Deleting any service requires a lot of clean up, unlike Cloudera."
"The version control of the software is also an issue."
"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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