We performed a comparison between IBM Spectrum Computing and QueryIO based on real PeerSpot user reviews.
Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop."The most valuable aspect of the product is the policy driving resource management, to optimize the computing across data centers."
"Spectrum Computing's best features are its speed, robustness, and data processing and analysis."
"The most valuable feature is the backup capability."
"This solution is working for both VTL and tape."
"Easy to operate and use."
"We are satisfied with the technical support, we have no issues."
"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."
"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."
"SMB storage and HPC is not compatible and it should be supported by IBM Spectrum Computing."
"Spectrum Computing is lagging behind other products, most likely because it hasn't been shifted to the cloud."
"Lack of sufficient documentation, particularly in Spanish."
"There needs to be some simplification of the user interface."
Earn 20 points
IBM Spectrum Computing is ranked 7th in Hadoop with 6 reviews while QueryIO is ranked 16th in Hadoop. IBM Spectrum Computing is rated 7.8, 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 Apache Spark, HPE Ezmeral Data Fabric and IBM Turbonomic, whereas QueryIO is most compared with Splice Machine.
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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.
