Compare IBM Spectrum Computing vs. QueryIO

IBM Spectrum Computing is ranked 14th in Hadoop while QueryIO which is ranked 20th in Hadoop. IBM Spectrum Computing is rated 0, while QueryIO is rated 0. On the other hand, IBM Spectrum Computing is most compared with Cloudera Distribution for Hadoop, whereas QueryIO is most compared with .
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IBM Spectrum Computing Logo
984 views|249 comparisons
QueryIO Logo
323 views|33 comparisons
Ranking
14th
out of 24 in Hadoop
Views
984
Comparisons
249
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
20th
out of 24 in Hadoop
Views
323
Comparisons
33
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Find out what your peers are saying about Apache, Cloudera, Hortonworks and others in Hadoop. Updated: July 2019.
360,582 professionals have used our research since 2012.
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Also Known As
IBM Platform Computing
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Overview

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.

QueryIO is a Hadoop-based SQL and Big Data Analytics solution, used to store, structure, analyze and visualize vast amounts of structured and unstructured Big Data. It is especially well suited to enable users to process unstructured Big Data, give it a structure and support querying and analysis of this Big Data using standard SQL syntax. QueryIO enables you to leverage the vast and mature infrastructure built around SQL and relational databases and utilize it for your Big Data Analytics needs.
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Sample Customers
London South Bank University, Transvalor, Infiniti Red Bull Racing, Genomic
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Find out what your peers are saying about Apache, Cloudera, Hortonworks and others in Hadoop. Updated: July 2019.
360,582 professionals have used our research since 2012.
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