Cloudera Distribution for Hadoop vs IBM Spectrum Computing comparison

"Customer service and support were able to fix whatever the issue was."

"The most valuable feature is Impala, the querying engine, which is very fast."

"Cloudera is a very manageable solution with good support."

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

"The product is completely secure."

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

"The file system is a valuable feature."

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

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

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

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

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

"The most valuable feature is the backup capability."

"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."

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

"Easy to operate and use."

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

"The tool's ability to be deployed on a cloud model is an area of concern where improvements are required."

"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."

"It would be useful if Cloudera had more tools like SQL Engines that offer the traditional relational database. We have to do a lot of work preparing the data outside Cloudera before getting it into the platform."

"They should focus on upgrading their technical capabilities in the market."

"The Cloudera training has deteriorated significantly."

"While the deployed product is generally functional, there are instances where it presents difficulties."

"Cloudera Distribution for Hadoop is not always completely stable in some cases, which can be a concern for big data solutions."

"Lack of sufficient documentation, particularly in Spanish."

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

"This solution is no longer managing tapes correctly."

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

"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."

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

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

"The pricing must be improved."

"It is an expensive product."

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

"The tool is not expensive."

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

"Cloudera requires a license to use."

"The solution is fairly expensive."

"The price could be better for the product."

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

"This solution is expensive."