We performed a comparison between Cloudera Distribution for Hadoop and Netezza Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop."The main advantage is the storage is less expensive."
"The search function is the most valuable aspect of the solution."
"The product provides better data processing features than other tools."
"I don't see any performance issues."
"The most valuable feature is that I can use CDH for almost all use cases across all industries, including the financial sector, public sector, private retailers, and so on."
"The product as a whole is good."
"The data science aspect of the solution is valuable."
"The most valuable feature is Kubernetes."
"Speed contributes to large capacity."
"The most valuable feature is the performance."
"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."
"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."
"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 areas of improvement depend on the scale of the project. For banking customers, security features and an essential budget for commercial licenses would be the top priority. Data regulation could be the most crucial for a project with extensive data or an extra use case."
"The price of this solution could be lowered."
"Cloudera Distribution for Hadoop has a limited feature list and a lot of costs involved."
"Currently, we are using many other tools such as Spark and Blade Job to improve the performance."
"They should focus on upgrading their technical capabilities in the market."
"While the deployed product is generally functional, there are instances where it presents difficulties."
"I would like to see an improvement in how the solution helps me to handle the whole cluster."
"The Cloudera training has deteriorated significantly."
"In-DB processing with SAS Analytics, since this is supposed to be an analytics server so the expectation is there."
"The hardware has a risk of failure. They need to improve this."
"This product is being discontinued from IBM, and I would like to have some kind of upgrade available."
"The solution could implement more reporting tools and networking utilities."
"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."
"Disaster recovery support. Because it was an appliance, and if you wanted to support disaster recovery, you needed to buy two."
"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.
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We monitor all Hadoop reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
