IBM Spectrum Computing vs Stratoscale [EOL] comparison

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215 views|192 comparisons
40% willing to recommend
Stratoscale Logo
views| comparisons
100% willing to recommend
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Executive Summary

We performed a comparison between IBM Spectrum Computing and Stratoscale [EOL] based on real PeerSpot user reviews.

Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop.
To learn more, read our detailed Hadoop Report (Updated: April 2024).
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Featured Review
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Pricing and Cost Advice
  • "This solution is expensive."
  • "Spectrum Computing is one of the most expensive products on the market."
  • More IBM Spectrum Computing Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:This solution is too expensive for a lot of our customers.
    Top Answer:The biggest problem is the lack of documentation in general, and documentation in Spanish, in particular.
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    Ranking
    7th
    out of 22 in Hadoop
    Views
    215
    Comparisons
    192
    Reviews
    1
    Average Words per Review
    240
    Rating
    9.0
    Unranked
    In Hadoop
    Comparisons
    Also Known As
    IBM Platform Computing
    Learn More
    IBM
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    Stratoscale
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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.

    Stratoscale is the cloud infrastructure company, allowing enterprises to deploy an AWS-compatible region in any data center. Stratoscale Symphony, can be deployed in minutes on commodity x86 servers, creating an Amazon Web Services (AWS) compatible region and offering AWS-compatible services including EC2, S3, EBS, RDS and Kubernetes. Stratoscale was named a “Cool Vendor in Servers and Virtualization” by Gartner and raised over $70M from leading investors including: Battery Ventures, Bessemer Venture Partners, Cisco, Intel, Qualcomm Ventures, SanDisk and Leslie Ventures.
    Sample Customers
    London South Bank University, Transvalor, Infiniti Red Bull Racing, Genomic
    SanDisk, Orange, Merck, NTT, Troy Cable, Bezeq, Tieto, Neen, Ofek Cloud Technologies, APA IT, Netkom, SOS Surveillance, Futong, WeBank, Team Netsol
    Top Industries
    VISITORS READING REVIEWS
    Comms Service Provider31%
    Media Company16%
    Financial Services Firm11%
    Computer Software Company10%
    No Data Available
    Company Size
    REVIEWERS
    Small Business43%
    Large Enterprise57%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise18%
    Large Enterprise68%
    No Data Available
    Buyer's Guide
    Hadoop
    April 2024
    Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop. Updated: April 2024.
    767,847 professionals have used our research since 2012.

    IBM Spectrum Computing is ranked 7th in Hadoop with 6 reviews while Stratoscale [EOL] doesn't meet the minimum requirements to be ranked in Hadoop. IBM Spectrum Computing is rated 7.8, while Stratoscale [EOL] 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 Stratoscale [EOL] writes "It is scalable and gives us the ability to provide an AWS region to our clients everywhere". IBM Spectrum Computing is most compared with Apache Spark, HPE Ezmeral Data Fabric and IBM Turbonomic, whereas Stratoscale [EOL] is most compared with .

    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.