Compare IBM Spectrum Computing vs. MapR

IBM Spectrum Computing is ranked 14th in Hadoop while MapR which is ranked 5th in Hadoop with 2 reviews. IBM Spectrum Computing is rated 0, while MapR is rated 8.6. On the other hand, 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 Cloudera Distribution for Hadoop, whereas MapR is most compared with Hortonworks Data Platform, Cloudera Distribution for Hadoop and Amazon EMR.
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IBM Spectrum Computing Logo
984 views|249 comparisons
MapR Logo
Read 2 MapR reviews.
4,553 views|1,603 comparisons
Most Helpful Review
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359,556 professionals have used our research since 2012.
Ranking
14th
out of 24 in Hadoop
Views
984
Comparisons
249
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
5th
out of 24 in Hadoop
Views
4,553
Comparisons
1,603
Reviews
2
Average Words per Review
716
Avg. Rating
8.5
Top Comparisons
Compared 24% of the time.
Compared 21% of the time.
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.

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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Learn more about IBM Spectrum Computing
Learn more about MapR
Sample Customers
London 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
Find out what your peers are saying about Apache, Cloudera, Hortonworks and others in Hadoop. Updated: July 2019.
359,556 professionals have used our research since 2012.
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.
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