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."The solution helps us manage huge volumes of data."
"The solution is pretty simple to set up."
"The initial setup is straightforward."
"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."
"This is the best tool for hosts and it's really flexible and scalable."
"The ability to resize the cluster is what really makes it stand out over other Hadoop and big data solutions."
"The solution is scalable."
"The initial setup is pretty straightforward."
"The need for administration involvement is quite limited on the solution."
"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 most valuable feature is the performance."
"Speed contributes to large capacity."
"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."
"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."
"There is room for improvement in pricing."
"There is no need to pay extra for third-party software."
"The most complicated thing is configuring to the cluster and ensure it's running correctly."
"The product's features for storing data in static clusters could be better."
"The initial setup was time-consuming."
"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 product must add some of the latest technologies to provide more flexibility to the users."
"The dashboard management could be better. Right now, it's lacking a bit."
"Disaster recovery support. Because it was an appliance, and if you wanted to support disaster recovery, you needed to buy two."
"The solution could implement more reporting tools and networking utilities."
"The hardware has a risk of failure. They need to improve this."
"In-DB processing with SAS Analytics, since this is supposed to be an analytics server so the expectation is there."
"The most valuable features of this solution are robustness and support."
"Administration of this product is too tough. It's very complex because of the tools which it's missing."
"I'm not sure of IBM's roadmap currently, as the solution is coming up on its end of life."
"The Analytics feature should be simplified."
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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