Cloudera Distribution for Hadoop vs IBM Spectrum Computing comparison

"The product provides better data processing features than other tools."

"The tool's most interesting features are the distributed file system and unstructured data processing capability. Because we have a lot of unstructured data, like XML and social media logs, these features make it more valuable than the usual data warehousing solutions."

"I don't see any performance issues."

"The product is completely secure."

"We're now able to store large volumes of data through Cloudera Distribution for Hadoop. We're able to push large volumes of data to the platform, and that used to be a challenge, especially when storing a terabyte of information. This is the area where Cloudera Distribution for Hadoop improved the organization."

"In terms of scalability, if you have enough hardware you can scale out. Scalability doesn't have any issues."

"This is the only solution that is possible to install on-premise."

"The features I find most valuable is that the solution is that it is easy to install and to work with. It starts with the installation and from there on the management is very simple and centralized."

"This solution is working for both VTL and tape."

"The best features of IBM Spectrum Computing are common across many of their storage products."

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

"The most valuable feature is the backup capability."

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

"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."

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

"Easy to operate and use."

"The performance of some analytics engines provided by Cloudera is not that good."

"The security of this solution could be improved. There should also be a way to basically have a blockchain enabled storage with the HDFS."

"Currently, we are using many other tools such as Spark and Blade Job to improve the performance."

"The procedure for operations could be simplified."

"The competitors provide better functionalities."

"This is a very expensive solution."

"It is quite complicated to configure and install."

"The price of this solution could be lowered."

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

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

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

"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."

"Lack of sufficient documentation, particularly in Spanish."

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

"We have not been able to use deduplication."

"This solution is no longer managing tapes correctly."

"I haven't bought a license for this solution. I'm only using the Apache license version."

"It is an expensive product."

"The product’s price depends from project to project."

"I wouldn't recommend CDH to others because of its high cost."

"I believe we pay for a three-year license."

"The price is very high. The solution is expensive."

"The pricing must be improved."

"Cloudera Distribution for Hadoop is expensive, with support costs involved."

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

"This solution is expensive."