We performed a comparison between IBM Netezza Performance Server and Oracle Java DB based on real PeerSpot user reviews.
Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse."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."
"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."
"The performance is most important to me, and it helps our ability to make business decisions quickly."
"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."
"Distribution concurrency control."
"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."
"The most valuable feature would be the fact that it has been running for awhile in an appliance format."
"The solution is stable."
"The additional value of having Java inside the Oracle database is all the security that is applied to an Oracle database will be enforced on Java's stored procedures as well."
"It has a programming language so anything that we require for Selenium is all available there."
"The most valuable feature is automation."
"There have been no issues in relation to stability. We've never really had do to any recoveries. It is very stable."
"It's very clever."
"Able to write queries more efficiently and the management of data has become better and easier."
"Oracle Exadata's security features, like TDE encryption, are missing in IBM Netezza Performance Server."
"The only issue is that it's not expandable."
"IBM Netezza Performance Server could improve its interface, support for big data, and APA-based connectivity should be available."
"The scalability is not as expected. The capacity in the black box is not enough."
"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."
"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."
"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 solution should continue to keep updating and improving the Java language."
"Needs improvement in consistency issues with respect to timeframes."
"In terms of improvement, I'd like an automation tool that is lower priced. The core prices are very high."
"It'll be better if Oracle Java supports open source technologies, like Node.js."
"The solution could be more user-friendly."
"The biggest lesson that I have learned from using Oracle products is vendor lock-in."
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IBM Netezza Performance Server is ranked 10th in Data Warehouse with 33 reviews while Oracle Java DB is ranked 23rd in Relational Databases Tools with 7 reviews. IBM Netezza Performance Server is rated 8.0, while Oracle Java DB is rated 8.2. The top reviewer of IBM Netezza Performance Server writes "A cost-effective data warehousing tool, but security features like TDE encryption are missing". On the other hand, the top reviewer of Oracle Java DB writes "Ability to handle large volumes and data sets but could be more user-friendly". IBM Netezza Performance Server is most compared with Oracle Exadata, Oracle Database, Snowflake, Teradata and SQL Server, whereas Oracle Java DB is most compared with MySQL, SQL Server, Oracle Database, Apache Derby and SAP HANA.
We monitor all Data Warehouse 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.
