We performed a comparison between Amazon EMR and Netezza Analytics 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's most valuable features are processing speed and data storage capacity."
"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 initial setup is pretty straightforward."
"It has a variety of options and support systems."
"The project management is very streamlined."
"The solution is pretty simple to set up."
"The ability to resize the cluster is what really makes it stand out over other Hadoop and big data solutions."
"The solution helps us manage huge volumes of data."
"Data compression. It was relatively impressive. I think at some point we were getting 4:1 compression if not more."
"It is a back end for our SSIS, MicroStrategy,, Tableau. All of these are connecting to get the data. To do so we are also using our analytics which is built on the data."
"The performance of the solution is its most valuable feature. The solution is easy to administer as well. It's very user-friendly. On the technical side, the architecture is simple to understand and you don't need too many administrators to handle the solution."
"The need for administration involvement is quite limited on the solution."
"The most valuable feature is the performance."
"Speed contributes to large capacity."
"For me, as an end-user, everything that I do on the solution is simple, clear, and understandable."
"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 initial setup was time-consuming."
"The dashboard management could be better. Right now, it's lacking a bit."
"Amazon EMR is continuously improving, but maybe something like CI/CD out-of-the-box or integration with Prometheus Grafana."
"There is room for improvement in pricing."
"The product's features for storing data in static clusters could be better."
"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."
"The Analytics feature should be simplified."
"I'm not sure of IBM's roadmap currently, as the solution is coming up on its end of life."
"The most valuable features of this solution are robustness and support."
"Disaster recovery support. Because it was an appliance, and if you wanted to support disaster recovery, you needed to buy two."
"This product is being discontinued from IBM, and I would like to have some kind of upgrade available."
"In-DB processing with SAS Analytics, since this is supposed to be an analytics server so the expectation is there."
"The solution could implement more reporting tools and networking utilities."
"Administration of this product is too tough. It's very complex because of the tools which it's missing."
Amazon EMR is ranked 3rd in Hadoop with 20 reviews while Netezza Analytics is ranked 11th in Hadoop. Amazon EMR is rated 7.8, while Netezza Analytics is rated 7.4. The top reviewer of Amazon EMR writes "Provides efficient data processing features and has good scalability ". On the other hand, the top reviewer of Netezza Analytics writes "ARULES() function is the fastest implementation of the associations algorithm (a priori or tree) I have worked with". Amazon EMR is most compared with Snowflake, Cloudera Distribution for Hadoop, Azure Data Factory, Amazon Redshift and Apache Spark, whereas Netezza Analytics is most compared with Spark SQL and HPE Ezmeral Data Fabric. See our Amazon EMR vs. Netezza Analytics report.
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