We performed a comparison between Cloudera Distribution for Hadoop 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."The tool can be deployed using different container technologies, which makes it very scalable."
"The product provides better data processing features than other tools."
"The product is completely secure."
"CDH has a wide variety of proprietary tools that we use, like Impala. So from that perspective, it's quite useful as opposed to something open-source. We get a lot of value from Cloudera's proprietary tools."
"The file system is a valuable feature."
"We had a data warehouse before all the data. We can process a lot more data structures."
"The features I find most valuable is that the solution is that it is easy to install and to work with. It starts with the installation and from there on the management is very simple and centralized."
"Cloudera is a very manageable solution with good support."
"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."
"Speed contributes to large capacity."
"Data compression. It was relatively impressive. I think at some point we were getting 4:1 compression if not more."
"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."
"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 solution is not fit for on-premise distributions."
"There are multiple bugs when we update."
"The tool's ability to be deployed on a cloud model is an area of concern where improvements are required."
"There is a maximum of a one-gigabyte block size, which is an area of storage that can be improved upon."
"The dashboard could be improved."
"The user infrastructure and user interface needs to be improved, as well as the performance. The GUI needs to be better."
"The initial setup of Cloudera is difficult."
"Cloudera Distribution for Hadoop is not always completely stable in some cases, which can be a concern for big data solutions."
"Disaster recovery support. Because it was an appliance, and if you wanted to support disaster recovery, you needed to buy two."
"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."
"I'm not sure of IBM's roadmap currently, as the solution is coming up on its end of life."
"This product is being discontinued from IBM, and I would like to have some kind of upgrade available."
"The Analytics feature should be simplified."
"The solution could implement more reporting tools and networking utilities."
"The most valuable features of this solution are robustness and support."
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Cloudera Distribution for Hadoop is ranked 2nd in Hadoop with 47 reviews while Netezza Analytics is ranked 11th in Hadoop. Cloudera Distribution for Hadoop is rated 8.0, while Netezza Analytics is rated 7.4. The top reviewer of Cloudera Distribution for Hadoop writes "Good end-to-end security features and we like that it's cloud independent". 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". Cloudera Distribution for Hadoop is most compared with Amazon EMR, HPE Ezmeral Data Fabric, Apache Spark, MongoDB and Cassandra, whereas Netezza Analytics is most compared with Spark SQL and HPE Ezmeral Data Fabric. See our Cloudera Distribution for Hadoop vs. Netezza Analytics report.
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