Cassandra vs IBM Netezza Performance Server comparison

"The most valuable features of Cassandra are the NoSQL database, high performance, and zero-copy streaming."

"I am getting much better performance than relational databases."

"The most valuable features are the counter features and the NoSQL schema. It also has good scalability. You can scale Cassandra to any finite level."

"Cassandra is good. It's better than CouchDB, and we are using it in parallel with CouchDB. Cassandra looks better and is more user-friendly."

"Since I haven't had years of experience with it, it's still new to me. One valuable feature is its distribution, so I can run it partly in the cloud and part on-prem. That's a feature I'd like to use but haven't yet because we're trying to move to Azure. I don't know if or when that will happen. Ideally, we'd have it distributed over the cloud and on-prem simultaneously, so if something happens to our on-prem, we can keep going in the cloud, like a pay-as-you-go model with Azure."

"Cassandra has some features that are more useful for specific use cases where you have time series where you have huge amounts of writes. That should be quick, but not specifically the reads. We needed to have quicker reads and writes and this is why we are using Cassandra right now."

"Some of the valued features of this solution are it has good performance and failover."

"Overall, I would rate Cassandra as nine because of its fast writes, which really suit our use cases mostly."

"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."

"The most valuable features of the IBM Netezza Performance Server are the NPS server because of the reduced maintenance and overall good performance."

"The most valuable feature would be the fact that it has been running for awhile in an appliance format."

"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."

"Parallel data processing is a significant feature for me."

"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 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."

"Fine-tuning was a bit of a challenge."

"The disc space is lacking. You need to free it up as you are working."

"The solution doesn't have joins between tables so you need other tools for that."

"The solution is not easy to use because it is a big database and you have to learn the interface. This is the case though in most of these solutions."

"It can be difficult to analyze what's going on inside of the database relative to other databases. It can also be difficult to troubleshoot sometimes."

"Cassandra can improve by adding more built-in tools. For example, if you want to do some maintenance activities in the cluster, we have to depend on third-party tools. Having these tools build-in would be e benefit."

"While Cassandra can handle NoSQL, I think there should be more flexibility for whole schema design when data is stored in wide columns. Additionally, I believe that eventual consistency should be enhanced."

"The secondary index in Cassandra was a bit problematic and could be improved."

"The product cost is high compared to others in the market, and this cost has become unbearable for me."

"Oracle Exadata's security features, like TDE encryption, are missing in IBM Netezza Performance Server."

"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."

"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."

"LIke Teradata, we can’t add a node/SPU to the existing appliance."

"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."

"We are using the open-source version of Cassandra, the solution is free."

"I don't have the specific numbers on pricing, but it was fairly priced."

"We pay for a license."

"There are licensing fees that must be paid, but I'm not sure if they are paid monthly or yearly."

"I use the tool's open-source version."

"Cassandra is a free open source solution, but there is a commercial version available called DataStax Enterprise."

"The pricing is very expensive. It has a lot CPUs with a lot of components in it. It also has built-in redundancy for resiliency reasons."

"The solution has a yearly licensing fee, and users have to pay extra for support."

"Netezza is a costly solution. It does serve a specific purpose but it's costlier than what's available in the market, if you go to the cloud."