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."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 initial setup is straightforward."
"It allows users to access the data through a web interface."
"The solution is pretty simple to set up."
"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."
"Amazon EMR's most valuable features are processing speed and data storage capacity."
"When we grade big jobs from on-prem to the cloud, we do it in EMR with Spark."
"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."
"It is a stable solution...It is a scalable solution."
"The model creation was very interesting, especially with the libraries provided by the platform."
"HPE Ezmeral Data Fabric can be accessed from any namespace globally as you would access it from a machine using an NFS."
"I like the administration part."
"There were times where they would release new versions and it seemed to end up breaking old versions, which is very strange."
"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 most complicated thing is configuring to the cluster and ensure it's running correctly."
"Amazon EMR is continuously improving, but maybe something like CI/CD out-of-the-box or integration with Prometheus Grafana."
"The product's features for storing data in static clusters could be better."
"The dashboard management could be better. Right now, it's lacking a bit."
"The initial setup was time-consuming."
"Modules and strategies should be better handled and notified early in advance."
"HPE Ezmeral Data Fabric is not compatible with third-party tools."
"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."
"The product is not user-friendly."
"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."
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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