We performed a comparison between IBM Netezza Performance Server, Teradata, and Vertica based on real PeerSpot user reviews.
Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse."The performance is most important to me, and it helps our ability to make business decisions quickly."
"Distribution concurrency control."
"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 feature would be the fact that it has been running for awhile in an appliance format."
"The most valuable features of the IBM Netezza Performance Server are the NPS server because of the reduced maintenance and overall good performance."
"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."
"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."
"IBM Netezza Performance Server is a cost-effective solution."
"Teradata can be deployed on-premise, on the cloud, or in a virtual machine, which means customers can move without having to create their architecture all over again."
"It has given our business the ability to gain insights into the data and create data labs for analysis and PoCs."
"It's a pre-configured appliance that requires very little in terms of setting-up."
"Cuts time to process huge amounts of data with efficient analytical queries."
"Viewpoint, the detailed query logs and performance statistics are valuable features."
"The most valuable feature of Teradata is security. It runs on Unix and Linux platforms which provide better security."
"The most valuable features of Teradata are that it is a massively parallel platform and I can receive a lot of data and get the queries out correctly, especially if it's been appropriately designed. The native features make it very suitable for multiple large data tasks in a structured data environment. Additionally, the automation is very good."
"Things have started moving faster in my company, such as data retrieval happens more quickly."
"It has improved my organization's functionality and performance."
"For me, It's performance, scalability, low cost, and it's integrated into enterprise and big data environments."
"It's the fastest database I have ever tested. That's the most important feature of Vertica."
"The solution is quick, has good compression data, and is not expensive."
"The hardware usage and speed has been the most valuable feature of this solution. It is very fast and has saved us a lot of money."
"Allows us to take volumes and process them at a very high speed."
"I don't need any special hardware. I can use commodity hardware, which is nice to have in a commercial solution."
"The fast columnar store database structure allows our query times to be at least 10x faster than on any other database."
"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."
"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."
"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."
"The only issue is that it's not expandable."
"The scalability is not as expected. The capacity in the black box is not enough."
"LIke Teradata, we can’t add a node/SPU to the existing appliance."
"Teradata needs to pay attention to the cloud-based solution to make sure it runs smoothly."
"Teradata's UI could be improved."
"Needs compatibility with more Big Data platforms."
"Teradata's pricing is quite high compared to Redshift, Synapse, or GCP alternatives."
"The scalability could be better. The on-premises solution is always more complicated to scale."
"The SQL Assistant is very basic. This tool can be improved for usability."
"I would like to see more integration with many different types of data."
"I think the UI is not there yet. It could be improved by being more user-friendly."
"They could improve the integration and some of the features in the cloud version."
"Monitoring tools need to be lightweight. They should not take up heavy resources of the main server."
"It needs integration with multiple clouds."
"The documentation of Vertica is an area with shortcomings where improvements are required."
"Vertica seems to scale well, except for one use case where you are on a multi-node cluster. For example, if you had a nine-node cluster, one node goes down, then the eight nodes don't scale, because the absence of the node is very apparent, which is a problem. If you have nine nodes or multiple nodes, the whole idea is that if one of those nodes goes down, then you should not see an impact on the system if you have enough capacity. Even though we have enough capacity, you can still see the impact of the one node going down."
"If you do not utilize the tuning tools like projections, encoding, partitions, and statistics, then performance and scalability will suffer."
"I have found that coding support could be simplified."
"Very bad support, I would rate it two out of 10."
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