We performed a comparison between Amazon EMR and Netezza Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Cloudera, Apache, Amazon and others in Hadoop."In Amazon EMR it is easy to rebuild anything, easy to upgrade and has good fault tolerance."
"The solution is scalable."
"It has a variety of options and support systems."
"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."
"When we grade big jobs from on-prem to the cloud, we do it in EMR with Spark."
"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."
"Amazon EMR's most valuable features are processing speed and data storage capacity."
"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."
"Data compression. It was relatively impressive. I think at some point we were getting 4:1 compression if not more."
"For me, as an end-user, everything that I do on the solution is simple, clear, and understandable."
"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 need for administration involvement is quite limited on the solution."
"Speed contributes to large capacity."
"The most valuable feature is the performance."
"The dashboard management could be better. Right now, it's lacking a bit."
"The initial setup was time-consuming."
"The legacy versions of the solution are not supported in the new versions."
"There is no need to pay extra for third-party software."
"There were times where they would release new versions and it seemed to end up breaking old versions, which is very strange."
"The product must add some of the latest technologies to provide more flexibility to the users."
"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 room for improvement in pricing."
"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."
"Disaster recovery support. Because it was an appliance, and if you wanted to support disaster recovery, you needed to buy two."
"The Analytics feature should be simplified."
"Administration of this product is too tough. It's very complex because of the tools which it's missing."
"The solution could implement more reporting tools and networking utilities."
"The hardware has a risk of failure. They need to improve this."
"I'm not sure of IBM's roadmap currently, as the solution is coming up on its end of life."
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 Cloudera Distribution for Hadoop, Snowflake, Amazon Redshift, Azure Data Factory and Apache Spark, whereas Netezza Analytics is most compared with Spark SQL and HPE Ezmeral Data Fabric.
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