We performed a comparison between Amazon EMR and HPE Ezmeral Data Fabric 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 solution helps us manage huge volumes of data."
"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."
"The ability to resize the cluster is what really makes it stand out over other Hadoop and big data solutions."
"Amazon EMR's most valuable features are processing speed and data storage capacity."
"The initial setup is straightforward."
"When we grade big jobs from on-prem to the cloud, we do it in EMR with Spark."
"The initial setup is pretty straightforward."
"HPE Ezmeral Data Fabric can be accessed from any namespace globally as you would access it from a machine using an NFS."
"The model creation was very interesting, especially with the libraries provided by the platform."
"I like the administration part."
"It is a stable solution...It is a scalable solution."
"My customers find the product cheaper compared to other solutions. The previous solution that we used did not have unified analytics like the runtime or the analog."
"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."
"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."
"Amazon EMR is continuously improving, but maybe something like CI/CD out-of-the-box or integration with Prometheus Grafana."
"There were times where they would release new versions and it seemed to end up breaking old versions, which is very strange."
"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 product's features for storing data in static clusters could be better."
"Upgrading Ezmeral to a new version is a pain. They're trying to make the solution more container-friendly, so I think they're going in the right direction. The only problem we've had in the past was the upgrades. The process isn't smooth due to how the Red Hat operating system upgrades currently work."
"The product is not user-friendly."
"Having the ability to extend the services provided by the platform to an API architecture, a micro-services architecture, could be very helpful."
"The deployment could be faster. I want more support for the data lake in the next release."
"HPE Ezmeral Data Fabric is not compatible with third-party tools."
Amazon EMR is ranked 3rd in Hadoop with 20 reviews while HPE Ezmeral Data Fabric is ranked 5th in Hadoop with 12 reviews. Amazon EMR is rated 7.8, while HPE Ezmeral Data Fabric 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 HPE Ezmeral Data Fabric writes "It's flexible and easily accessible across multiple locations, but the upgrade process is complicated". Amazon EMR is most compared with Snowflake, Cloudera Distribution for Hadoop, Azure Data Factory, Amazon Redshift and Hortonworks Data Platform, whereas HPE Ezmeral Data Fabric is most compared with Cloudera Distribution for Hadoop, IBM Spectrum Computing, MongoDB, BlueData and Informatica Big Data Parser. See our Amazon EMR vs. HPE Ezmeral Data Fabric report.
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