IBM Spectrum Computing vs Qubole Data Services comparison

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Executive Summary

We performed a comparison between IBM Spectrum Computing and Qubole Data Services based on real PeerSpot user reviews.

Find out what your peers are saying about Cloudera, Apache, Amazon and others in Hadoop.
To learn more, read our detailed Hadoop Report (Updated: March 2024).
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Featured Review
Mohamed Youssef
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Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
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
    218
    Comparisons
    194
    Reviews
    1
    Average Words per Review
    240
    Rating
    9.0
    15th
    out of 22 in Hadoop
    Views
    81
    Comparisons
    63
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    IBM Platform Computing
    QDS
    Learn More
    IBM
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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.

    A self-managing and self-optimizing data platform. Constantly analyzes and learns about your big data platform’s usage through combination of heuristics and machine learning.

    Provides actionable Alerts, Insights and Recommendations (AIR) to optimize reliability, performance and costs.

    Automatically enacts policies through a number of Cloud Agents to eliminate the need for repetitive manual actions

    Sample Customers
    London South Bank University, Transvalor, Infiniti Red Bull Racing, Genomic
    Ola Cabs, GetSmart, AdIQuity, Glossom, Station X, Indix, TA telecom, bloomreach, Universal Music Group, Videoplaza, Sokrati, Flipboard, DEMAND BASE, Black Book, ImplementHIT, Answers.com, DataXu, DataLogix, Under Armour Connected Fitness, Quantdeck, Capillary, PubMatic, YouGov, Quora, Insightera, Komli Media, Pinterest, MediaMath, yieldr, TubeMogul, Saavn, Merkle, Nextdoor
    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 Business15%
    Midsize Enterprise18%
    Large Enterprise67%
    No Data Available
    Buyer's Guide
    Hadoop
    March 2024
    Find out what your peers are saying about Cloudera, Apache, Amazon and others in Hadoop. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    IBM Spectrum Computing is ranked 7th in Hadoop with 6 reviews while Qubole Data Services is ranked 15th in Hadoop. IBM Spectrum Computing is rated 7.8, while Qubole Data Services is rated 0.0. 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 Apache Spark, HPE Ezmeral Data Fabric and IBM Turbonomic, whereas Qubole Data Services is most compared with .

    See our list of best Hadoop vendors.

    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.