We performed a comparison between Apache Hadoop and IBM Netezza Performance Server based on real PeerSpot user reviews.
Find out in this report how the two Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Two valuable features are its scalability and parallel processing. There are jobs that cannot be done unless you have massively parallel processing."
"Hadoop File System is compatible with almost all the query engines."
"The scalability of Apache Hadoop is very good."
"What comes with the standard setup is what we mostly use, but Ambari is the most important."
"Hadoop is designed to be scalable, so I don't think that it has limitations in regards to scalability."
"The best thing about this solution is that it is very powerful and very cheap."
"It's open-source, so it's very cost-effective."
"The most valuable feature is the database."
"IBM Netezza Performance Server is a cost-effective solution."
"The performance is most important to me, and it helps our ability to make business decisions quickly."
"The most valuable feature would be the fact that it has been running for awhile in an appliance format."
"The underlying hardware that IBM provides with this appliance is made for a specific purpose, to serve performance on a large amount of data, and to do analytics as well. It is faster, when you compare it to any other product."
"Distribution concurrency control."
"The benefit is really because of the additional speed that we have and, truth be told, the more updated ETL processes and the revamped scheduler in general."
"The most valuable features of the IBM Netezza Performance Server are the NPS server because of the reduced maintenance and overall good performance."
"We are able to execute very complex queries. Over 90 percent of our query executions are one second or less. We do millions of queries everyday."
"It requires a great deal of learning curve to understand. The overall Hadoop ecosystem has a large number of sub-products. There is ZooKeeper, and there are a whole lot of other things that are connected. In many cases, their functionalities are overlapping, and for a newcomer or our clients, it is very difficult to decide which of them to buy and which of them they don't really need. They require a consulting organization for it, which is good for organizations such as ours because that's what we do, but it is not easy for the end customers to gain so much knowledge and optimally use it."
"We would like to have more dynamics in merging this machine data with other internal data to make more meaning out of it."
"Real-time data processing is weak. This solution is very difficult to run and implement."
"There is a lack of virtualization and presentation layers, so you can't take it and implement it like a radio solution."
"In certain cases, the configurations for dealing with data skewness do not make any sense."
"The upgrade path should be improved because it is not as easy as it should be."
"Since it is an open-source product, there won't be much support."
"It needs better user interface (UI) functionalities."
"Oracle Exadata's security features, like TDE encryption, are missing in IBM Netezza Performance Server."
"The scalability is not as expected. The capacity in the black box is not enough."
"We are not able to scale. The only way to scale is to get another appliance, but we have a customers who would need us to hydrate the data between the two appliances, and Netezza does not do that."
"Our main problem with it is concurrency. When there are too many users running Netezza at the same time, this is when we have the most complaints."
"IBM Netezza Performance Server could improve its interface, support for big data, and APA-based connectivity should be available."
"The only issue is that it's not expandable."
"In terms of features that I would like to see, one is the ability to actually scale out an architecture. Right now, if you buy one, it's fixed. There is no scale-up availability at all."
"LIke Teradata, we can’t add a node/SPU to the existing appliance."
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Apache Hadoop is ranked 5th in Data Warehouse with 33 reviews while IBM Netezza Performance Server is ranked 10th in Data Warehouse with 33 reviews. Apache Hadoop is rated 7.8, while IBM Netezza Performance Server is rated 8.0. The top reviewer of Apache Hadoop writes "A file system for data collection that contains needed information and files". On the other hand, the top reviewer of IBM Netezza Performance Server writes "A cost-effective data warehousing tool, but security features like TDE encryption are missing". Apache Hadoop is most compared with Azure Data Factory, Microsoft Azure Synapse Analytics, Oracle Exadata, Snowflake and Teradata, whereas IBM Netezza Performance Server is most compared with Oracle Exadata, Oracle Database, Snowflake, Teradata and SingleStore. See our Apache Hadoop vs. IBM Netezza Performance Server report.
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