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."Amazon EMR is a good solution that can be used to manage big data."
"The initial setup is pretty straightforward."
"It allows users to access the data through a web interface."
"The solution is scalable."
"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 has a variety of options and support systems."
"The project management is very streamlined."
"This is the best tool for hosts and it's really flexible and scalable."
"Ranger for security; with Ranger we can manager user’s permissions/access controls very easily."
"It is a scalable platform."
"We use it for data science activities."
"The data platform is pretty neat. The workflow is also really good."
"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."
"Distributed computing, secure containerization, and governance capabilities are the most valuable features."
"Amazon EMR is continuously improving, but maybe something like CI/CD out-of-the-box or integration with Prometheus Grafana."
"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 most complicated thing is configuring to the cluster and ensure it's running correctly."
"There is room for improvement in pricing."
"Modules and strategies should be better handled and notified early in advance."
"The dashboard management could be better. Right now, it's lacking a bit."
"The problem for us is it starts very slow."
"The product must add some of the latest technologies to provide more flexibility to the users."
"It would also be nice if there were less coding involved."
"I would like to see more support for containers such as Docker and OpenShift."
"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."
"Hive performance. If Hive performance increased, Hadoop would replace (not everywhere) traditional databases."
"I work a lot with banking, IT and communications customers. Hortonworks must improve or must upgrade their services for these sectors."
"Deleting any service requires a lot of clean up, unlike Cloudera."
"The version control of the software is also an issue."
"The cost of the solution is high and there is room for 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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