Cloudera Distribution for Hadoop vs IBM Spectrum Computing comparison

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

"It is helpful to gather and process data."

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

"The solution is reliable and stable, it fits our requirements."

"It has the best proxy, security, and support features compared to open-source products."

"The solution's most valuable feature is the enterprise data platform."

"We experienced many issues when we started working with Hadoop 3.0 in the Cloudera 6.0 version, so there are a lot of things that need to improve. I believe they are working on that."

"Cloudera provides a hybrid solution that combines compute on cloud or on-premises."

"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."

"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."

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

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

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

"The most valuable feature is the backup capability."

"Easy to operate and use."

"I would like to see an improvement in how the solution helps me to handle the whole cluster."

"The procedure for operations could be simplified."

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

"There are multiple bugs when we update."

"Cloudera Distribution for Hadoop has a limited feature list and a lot of costs involved."

"The pricing needs to improve."

"The initial setup of Cloudera is difficult."

"The tool doesn't support reporting, and relational databases are still the major source of reporting data. Apache Iceberg will be launched soon within the Cloudera cluster for analytical purposes. The Cloudera Machine Learning aspect could be tuned and enhanced to enable us to host some predictive analytics machine learning and AI use cases."

"Lack of sufficient documentation, particularly in Spanish."

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

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

"We have not been able to use deduplication."

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

"This solution is no longer managing tapes correctly."

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

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

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

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

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

"The tool is not expensive."

"When comparing with Oracle Sybase and SQL, it's cheaper. It's not expensive."

"The solution is expensive."

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

"The solution is fairly expensive."

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

"This solution is expensive."