Compare Amazon EMR vs. IBM Spectrum Computing

Amazon EMR is ranked 8th in Hadoop while IBM Spectrum Computing is ranked 6th in Hadoop with 3 reviews. Amazon EMR is rated 0, while IBM Spectrum Computing is rated 7.0. On the other hand, the top reviewer of IBM Spectrum Computing writes "Provides stable backup for our databases and has good technical support ". Amazon EMR is most compared with Hortonworks Data Platform, Cloudera Distribution for Hadoop and Apache Spark, whereas IBM Spectrum Computing is most compared with Cloudera Distribution for Hadoop.
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Ranking
8th
out of 24 in Hadoop
Views
2,946
Comparisons
2,422
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
6th
out of 24 in Hadoop
Views
343
Comparisons
243
Reviews
3
Average Words per Review
289
Avg. Rating
7.0
Top Comparisons
Compared 16% of the time.
Also Known As
Amazon Elastic MapReduceIBM Platform Computing
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Overview
Amazon Elastic MapReduce (Amazon EMR) is a web service that makes it easy to quickly and cost-effectively process vast amounts of data. Amazon EMR simplifies big data processing, providing a managed Hadoop framework that makes it easy, fast, and cost-effective for you to distribute and process vast amounts of your data across dynamically scalable Amazon EC2 instances.

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.

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Learn more about IBM Spectrum Computing
Sample Customers
YelpLondon South Bank University, Transvalor, Infiniti Red Bull Racing, Genomic
Find out what your peers are saying about Apache, Cloudera, Hortonworks and others in Hadoop. Updated: September 2019.
371,355 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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