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."The best thing about this solution is that it is very powerful and very cheap."
"What I like about Apache Hadoop is that it's for big data, in particular big data analysis, and it's the easier solution. I like the data processing feature for AI/ML use cases the most because some solutions allow me to collect data from relational databases, while Hadoop provides me with more options for newer technologies."
"The scalability of Apache Hadoop is very good."
"The most valuable feature is the database."
"It's open-source, so it's very cost-effective."
"High throughput and low latency. We start with data mashing on Hive and finally use this for KPI visualization."
"The most valuable feature is scalability and the possibility to work with major information and open source capability."
"It's good for storing historical data and handling analytics on a huge amount of data."
"IBM Netezza Performance Server is a cost-effective solution."
"The most valuable features of the IBM Netezza Performance Server are the NPS server because of the reduced maintenance and overall good performance."
"The data governance prospect... from what I've seen, that is a really powerful tool as well, to help with data lineage and keeping track of that."
"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."
"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 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."
"It could be more user-friendly."
"I would like to see more direct integration of visualization applications."
"General installation/dependency issues were there, but were not a major, complex issue. While migrating data from MySQL to Hive, things are a little challenging, but we were able to get through that with support from forums and a little trial and error."
"The key shortcoming is its inability to handle queries when there is insufficient memory. This limitation can be bypassed by processing the data in chunks."
"The load optimization capabilities of the product are an area of concern where improvements are required."
"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."
"I mentioned it definitely, and this is probably the only feature we can improve a little bit because the terminal and coding screen on Hadoop is a little outdated, and it looks like the old C++ bio screen. If the UI and UX can be improved slightly, I believe it will go a long way toward increasing adoption and effectiveness."
"What could be improved in Apache Hadoop is its user-friendliness. It's not that user-friendly, but maybe it's because I'm new to it. Sometimes it feels so tough to use, but it could be because of two aspects: one is my incompetency, for example, I don't know about all the features of Apache Hadoop, or maybe it's because of the limitations of the platform. For example, my team is maintaining the business glossary in Apache Atlas, but if you want to change any settings at the GUI level, an advanced level of coding or programming needs to be done in the back end, so it's not user-friendly."
"Oracle Exadata's security features, like TDE encryption, are missing in IBM Netezza Performance Server."
"IBM Netezza Performance Server could improve its interface, support for big data, and APA-based connectivity should be available."
"LIke Teradata, we can’t add a node/SPU to the existing appliance."
"Concurrency limit needs to be increased somewhat."
"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."
"The only issue is that it's not expandable."
"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."
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Apache Hadoop is ranked 5th in Data Warehouse with 32 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 and Snowflake, whereas IBM Netezza Performance Server is most compared with Oracle Exadata, Oracle Database, Snowflake, Teradata and IBM Db2 Warehouse on Cloud. See our Apache Hadoop vs. IBM Netezza Performance Server report.
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