We performed a comparison between IBM Netezza Performance Server and Oracle Database In-Memory 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."
"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 feature would be the fact that it has been running for awhile in an appliance format."
"IBM Netezza Performance Server is a cost-effective solution."
"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 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."
"The most valuable feature is that Database-In-Memory is more consistent and faster than traditional databases as it requires fewer CPUs to process instructions."
"The application development is very user-friendly."
"The solution is very fast."
"It accelerates query processing, which in turn speeds up operations and streamlines workflow, and ultimately enhancing productivity."
"We use the tool for real-time data transfer for risk management purposes. In a trading system, conversions happen fast. We use the product to handle fast transactions with low latency."
"Oracle Database In-Memory is a suite of features that improves performance for real-time analytics and mixed workloads."
"The scalability of the solution is very good. It's able to support large amounts of data."
"It efficiently handles low-code data and supports read-and-write operations for clustering."
"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."
"LIke Teradata, we can’t add a node/SPU to the existing appliance."
"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."
"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."
"Concurrency limit needs to be increased somewhat."
"Oracle Exadata's security features, like TDE encryption, are missing in IBM Netezza Performance Server."
"It would be good if Oracle could reduce downtime when transferring from non-In-Memory to In-Memory."
"The solution is quite expensive."
"The solution should move to the new way of writing software code with AI that is intelligent and learns."
"We use some partitions in In-Memory. We have a very large table and a low dose. It is very expensive in data to load all of them into In-Memory. It takes up more memory slots in the server, as well as a lot of RAM. We use last partitions on the table. We always need to create a script and make a schedule that can load a last partition in In-Memory. Oracle doesn't have features to do this automatically. I would like them to allow us to load last partitions, as well as other table partitions, in In-Memory. I think a good feature would do that automatically, letting you see a table, load a large partition, and monitor loading memory. It's quite a good feature."
"The pricing could be improved. It would ideal if it was more reasonable."
"Oracle Database In-Memory appliance-based solutions can be restrictive for some applications, as they may require more flexibility in the database design to be tuned and sized to the customer's needs."
"We often have to find solutions on our own through the support site, so there's room for improvement in this regard."
"The query optimization and backup features should be added."
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IBM Netezza Performance Server is ranked 10th in Data Warehouse with 33 reviews while Oracle Database In-Memory is ranked 2nd in Embedded Database with 27 reviews. IBM Netezza Performance Server is rated 8.0, while Oracle Database In-Memory is rated 8.8. 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 Database In-Memory writes "User friendly with great scalability but needs to move toward intelligent AI". IBM Netezza Performance Server is most compared with Oracle Exadata, Oracle Database, Snowflake, Teradata and SQL Server, whereas Oracle Database In-Memory is most compared with SAP HANA, Progress OpenEdge RDBMS, IBM Db2 Database, SQL Server and MariaDB.
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