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 Cloudera, Apache, Amazon and others in Hadoop."Very good end-to-end security features."
"We're now able to store large volumes of data through Cloudera Distribution for Hadoop. We're able to push large volumes of data to the platform, and that used to be a challenge, especially when storing a terabyte of information. This is the area where Cloudera Distribution for Hadoop improved the organization."
"The file system is a valuable feature."
"The solution is reliable and stable, it fits our requirements."
"The most valuable feature is Kubernetes."
"We experienced many issues when we started working with Hadoop 3.0 in the Cloudera 6.0 version, so there are a lot of things that need to improve. I believe they are working on that."
"It has the best proxy, security, and support features compared to open-source products."
"The main advantage is the storage is less expensive."
"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."
"The most valuable feature is the performance."
"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."
"Data compression. It was relatively impressive. I think at some point we were getting 4:1 compression if not more."
"Speed contributes to large capacity."
"There is a maximum of a one-gigabyte block size, which is an area of storage that can be improved upon."
"Cloudera Distribution for Hadoop has a limited feature list and a lot of costs involved."
"The user infrastructure and user interface needs to be improved, as well as the performance. The GUI needs to be better."
"Cloudera's support is extremely bad and cannot be relied on."
"We experienced many issues when we started working with Hadoop 3.0 in the Cloudera 6.0 version, so there is a lot of things that need to improve."
"I would like to see an improvement in how the solution helps me to handle the whole cluster."
"Without the big data environment, we cannot store all of this data live. We have billions of records and terabytes of storage to be used. It's not an option actually for us to have a big data environment."
"There are multiple bugs when we update."
"I'm not sure of IBM's roadmap currently, as the solution is coming up on its end of life."
"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."
"The Analytics feature should be simplified."
"The solution could implement more reporting tools and networking utilities."
"Disaster recovery support. Because it was an appliance, and if you wanted to support disaster recovery, you needed to buy two."
"This product is being discontinued from IBM, and I would like to have some kind of upgrade available."
"The hardware has a risk of failure. They need to improve this."
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Cloudera Distribution for Hadoop is ranked 1st in Hadoop with 46 reviews while Netezza Analytics is ranked 11th in Hadoop. Cloudera Distribution for Hadoop is rated 7.8, 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, Cassandra and MongoDB, whereas Netezza Analytics is most compared with Spark SQL and HPE Ezmeral Data Fabric.
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