Cloudera Distribution for Hadoop vs IBM Spectrum Computing comparison

"I don't see any performance issues."

"The search function is the most valuable aspect of the solution."

"The product as a whole is good."

"The file system is a valuable feature."

"Provides a viable open-source solution for enterprise implementations and reliable, intelligent data analysis."

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

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

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

"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."

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

"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."

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

"Easy to operate and use."

"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."

"The competitors provide better functionalities."

"There is a maximum of a one-gigabyte block size, which is an area of storage that can be improved upon."

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

"Cloudera's support is extremely bad and cannot be relied on."

"There are better solutions out there that have more features than this one."

"The areas of improvement depend on the scale of the project. For banking customers, security features and an essential budget for commercial licenses would be the top priority. Data regulation could be the most crucial for a project with extensive data or an extra use case."

"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."

"The governance aspect of the solution should be improved."

"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."

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

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

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

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

"This solution is no longer managing tapes correctly."

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

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

"It is an expensive product."

"Cloudera requires a license to use."

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

"The tool is not expensive."

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

"The solution is expensive."

"This solution is expensive."

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