IBM Spectrum Computing vs Netezza Analytics comparison

"Easy to operate and use."

"The most valuable aspect of the product is the policy driving resource management, to optimize the computing across data centers."

"I have utilized IBM Spectrum Computing's intelligent workload management feature through Insights, which is connected to the cloud."

"The comparison was challenging, but the IBM Spectrum Scale offered a balanced solution. Our engineers rated itsanalytics capabilities equally high as Pure Storage. For workload management, Spectrum Computing provided effective solutions that met our needs. Workload management is part of a complete solution that uses different tools. There were the cloud and HPC parts; within HPC, there were parts like liquid cooling, simple computing, storage, and orchestration. The orchestration team handled the workload management."

"We are satisfied with the technical support, we have no issues."

"Spectrum Computing's best features are its speed, robustness, and data processing and analysis."

"IBM's ability to cluster compute resources is impressive, with built-in support for scenarios like VR and active-active configurations,"

"The most valuable feature is the backup capability."

"It is a back end for our SSIS, MicroStrategy,, Tableau. All of these are connecting to get the data. To do so we are also using our analytics which is built on the data."

"Speed contributes to large capacity."

"The performance of the solution is its most valuable feature. The solution is easy to administer as well. It's very user-friendly. On the technical side, the architecture is simple to understand and you don't need too many administrators to handle the solution."

"For me, as an end-user, everything that I do on the solution is simple, clear, and understandable."

"The need for administration involvement is quite limited on the solution."

"The most valuable feature is the performance."

"Data compression. It was relatively impressive. I think at some point we were getting 4:1 compression if not more."

"Lack of sufficient documentation, particularly in Spanish."

"Spectrum Computing is lagging behind other products, most likely because it hasn't been shifted to the cloud."

"We'd like to see some AI model training for machine learning."

"In Pakistan, IBM's disadvantage is the lack of OEM support and presence."

"We have not been able to use deduplication."

"SMB storage and HPC is not compatible and it should be supported by IBM Spectrum Computing."

"The deduplication software isn't quite up to speed with the market. While IBM has excellent compression technology, specifically on their FlashCore modules, they lag behind competitors such as NetApp in deduplication capabilities."

"IBM's sales and support structure can be challenging."

"The solution could implement more reporting tools and networking utilities."

"Disaster recovery support. Because it was an appliance, and if you wanted to support disaster recovery, you needed to buy two."

"This product is being discontinued from IBM, and I would like to have some kind of upgrade available."

"In-DB processing with SAS Analytics, since this is supposed to be an analytics server so the expectation is there."

"The most valuable features of this solution are robustness and support."

"I'm not sure of IBM's roadmap currently, as the solution is coming up on its end of life."

"Administration of this product is too tough. It's very complex because of the tools which it's missing."

"The Analytics feature should be simplified."

"This solution is expensive."

"Spectrum Computing is one of the most expensive products on the market."

"For me, mainly, it reduces my costs. It's not only the appliance cost. There are also support costs and a maintenance costs. It does reduce the costs very drastically."

"Expensive to maintain compared to other solutions."

"The annual licensing fees are twenty-two percent of the product cost."