Compare IBM Spectrum Computing vs. MapR

IBM Spectrum Computing is ranked 6th in Hadoop with 3 reviews while MapR is ranked 4th in Hadoop with 2 reviews. IBM Spectrum Computing is rated 7.0, while MapR is rated 8.6. 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 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 Amazon EMR, Cloudera Distribution for Hadoop and Hortonworks Data Platform. See our IBM Spectrum Computing vs. MapR report.
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2,780 views|1,575 comparisons
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Find out what your peers are saying about IBM Spectrum Computing vs. MapR and other solutions. Updated: November 2019.
384,147 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
We are satisfied with the technical support, we have no issues.The scalability of the solution is good.This solution is working for both VTL and tape.

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The model creation was very interesting, especially with the libraries provided by the platform.

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Cons
SMB storage and HPC is not compatible and it should be supported by IBM Spectrum Computing.The initial setup is not so complex. However, the day-to-day administration is complex and there are far too many manual intervention requirements.This solution is no longer managing tapes correctly.

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Having the ability to extend the services provided by the platform to an API architecture, a micro-services architecture, could be very helpful.

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Pricing and Cost Advice
This solution is expensive.

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384,147 professionals have used our research since 2012.
Ranking
6th
out of 24 in Hadoop
Views
303
Comparisons
158
Reviews
3
Average Words per Review
289
Avg. Rating
7.0
4th
out of 24 in Hadoop
Views
2,780
Comparisons
1,575
Reviews
2
Average Words per Review
715
Avg. Rating
8.5
Top Comparisons
Compared 22% of the time.
Compared 17% 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 IBM Spectrum Computing vs. MapR and other solutions. Updated: November 2019.
384,147 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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