Compare IBM Spectrum Computing vs. Scalr

IBM Spectrum Computing is ranked 22nd in Cloud Management with 3 reviews while Scalr is ranked 21st in Cloud Management. IBM Spectrum Computing is rated 7.0, while Scalr is rated 0. The top reviewer of IBM Spectrum Computing writes "Provides stable backup for our databases and has good technical support ". On the other hand, IBM Spectrum Computing is most compared with Cloudera Distribution for Hadoop, whereas Scalr is most compared with CloudBolt, VMware vRealize Automation (vRA) and Red Hat CloudForms.
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2,404 views|1,720 comparisons
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Quotes From Members

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This solution is expensive.

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Ranking
22nd
out of 57 in Cloud Management
Views
343
Comparisons
243
Reviews
3
Average Words per Review
289
Avg. Rating
7.0
21st
out of 57 in Cloud Management
Views
2,404
Comparisons
1,720
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Top Comparisons
Compared 20% of the time.
Compared 16% 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.

The Scalr Enterprise-Grade Cloud Management Platform enables today’s enterprises to achieve cost-effective, automated and standardized application deployments across multi-cloud environments. Scalr utilizes a hierarchical, top-down approach to policy enforcement that empowers administrators to find the balance between the needs of finance, security, IT and development teams.

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Sample Customers
London South Bank University, Transvalor, Infiniti Red Bull Racing, GenomicJPL, Expedia, Samsung, Acxiom, Accenture, Sony, Merkle, Autodesk
Find out what your peers are saying about VMware, Turbonomic, Apache and others in Cloud Management. Updated: October 2019.
371,355 professionals have used our research since 2012.
We monitor all Cloud Management 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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