IBM Spectrum Computing vs. MapR

IBM Spectrum Computing is ranked 8th in Hadoop vs MapR which is ranked 6th in Hadoop with 2 reviews. The top reviewer of MapR writes "Because of their POSIX compliant file system, they can support read/write files over the WORM storage of their competitors". IBM Spectrum Computing is most compared with VMware vRealize Suite, Ensim Unify and Amazon EMR. MapR is most compared with IBM InfoSphere BigInsights, Cloudera Distribution for Hadoop and Hortonworks Data Platform.
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Quotes From Members Comparing IBM Spectrum Computing vs. MapR

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Ranking
RANKING
Views
900
Comparisons
508
Reviews
0
Followers
235
Avg. Rating
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Views
3,387
Comparisons
1,813
Reviews
3
Followers
83
Avg. Rating
8.0
Top Comparisons
Top ComparisonsSee more IBM Spectrum Computing competitors »
Compared 33% of the time.
Compared 11% of the time.
See more MapR competitors »
Also Known As
Also Known AsIBM Platform Computing
Website/Video
Website/VideoIBM
MapR
Overview
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.

MapR MapReduce software makes Apache Hadoop more affordable and easier to use for big data analytics, business intelligence, distributed computing, and more.
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Sample Customers
Sample CustomersLondon South Bank University, Transvalor, Infiniti Red Bull Racing, GenomicValence Health, Goodgame Studios, Pico, Terbium Labs, sovrn, Harte Hanks, Quantium, Razorsight, Novartis, Experian, Dentsu ix, Pontis Transitions, DataSong, Return Path, RAPP, HP
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