We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"This solution is working for both VTL and tape."
"We are satisfied with the technical support, we have no issues."
"The most valuable feature is the backup capability."
"Anyone who has even a little bit of knowledge of the solution can begin to create things. You don't have to be technical to use the solution."
"This solution is no longer managing tapes correctly."
"SMB storage and HPC is not compatible and it should be supported by IBM Spectrum Computing."
"We have not been able to use deduplication."
"There needs to be some simplification of the user interface."
"This solution is expensive."
Earn 20 points
IBM Spectrum Computing uses intelligent workload and policy-driven resource management to optimize resources across the data center, on premises and in the cloud. Now up to 150X faster and scalable to over 160,000 cores, IBM provides you with the latest advances in software-defined infrastructure to help you unleash the power of your distributed mission-critical high performance computing (HPC), analytics and big data applications as well as a new generation open source frameworks such as Hadoop and Spark.
IBM Spectrum Computing is ranked 9th in Hadoop with 3 reviews while QueryIO is ranked 8th in Hadoop with 1 review. IBM Spectrum Computing is rated 7.4, while QueryIO is rated 8.0. The top reviewer of IBM Spectrum Computing writes "Provides stable backup for our databases and has good technical support ". On the other hand, the top reviewer of QueryIO writes "Stable with good connectivity and good integration capabilities". IBM Spectrum Computing is most compared with Cloudera Distribution for Hadoop, Red Hat CloudForms and HPE Ezmeral Data Fabric, whereas QueryIO is most compared with .
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We monitor all Hadoop reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.