Amazon EMR vs Netezza Analytics comparison

"The solution is scalable."

"The initial setup is straightforward."

"I rate Amazon EMR as ten out of ten."

"The initial setup is pretty straightforward."

"Amazon EMR has multiple connectors that can connect to various data sources."

"When we grade big jobs from on-prem to the cloud, we do it in EMR with Spark."

"Amazon EMR is a good solution that can be used to manage big 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."

"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."

"Speed contributes to large capacity."

"The need for administration involvement is quite limited on the solution."

"For me, as an end-user, everything that I do on the solution is simple, clear, and understandable."

"The most valuable feature is the performance."

"There is no need to pay extra for third-party software."

"The product must add some of the latest technologies to provide more flexibility to the users."

"There is room for improvement with respect to retries, handling the volume of data on S3 buckets, cluster provisioning, scaling, termination, security, and integration between services like S3, Glue, Lake Formation, and DynamoDB."

"Spark jobs take longer on Amazon EMR compared to previous experiences."

"The solution can become expensive if you are not careful."

"Modules and strategies should be better handled and notified early in advance."

"The problem for us is it starts very slow."

"There is room for improvement in pricing."

"In-DB processing with SAS Analytics, since this is supposed to be an analytics server so the expectation is there."

"Administration of this product is too tough. It's very complex because of the tools which it's missing."

"The hardware has a risk of failure. They need to improve this."

"The solution could implement more reporting tools and networking utilities."

"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."

"The Analytics feature should be simplified."

"This product is being discontinued from IBM, and I would like to have some kind of upgrade available."

"Amazon EMR's price is reasonable."

"The price of the solution is expensive."

"The cost of Amazon EMR is very high."

"Amazon EMR is not very expensive."

"There is no need to pay extra for third-party software."

"The product is not cheap, but it is not expensive."

"There is a small fee for the EMR system, but major cost components are the underlying infrastructure resources which we actually use."

"I rate the tool's pricing a five out of ten. It can be expensive since it's a managed service, and if you are not careful, you can run into unexpected charges. You can make a mistake that costs you tens of thousands of dollars. That's happened to us twice, so I'm sensitive to it. We're still trying to work on that. Our smallest client probably spends a hundred thousand dollars yearly on licensing, while our largest is well over a million."

"For me, mainly, it reduces my costs. It's not only the appliance cost. There are also support costs and a maintenance costs. It does reduce the costs very drastically."

"The annual licensing fees are twenty-two percent of the product cost."

"Expensive to maintain compared to other solutions."