IBM Spectrum Computing vs Outerthought Lily comparison

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IBM Logo
215 views|192 comparisons
40% willing to recommend
Outerthought Logo
55 views|45 comparisons
Comparison Buyer's Guide
Executive Summary

We performed a comparison between IBM Spectrum Computing and Outerthought Lily 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
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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    768,578 professionals have used our research since 2012.
    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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    Earn 20 points

    Ranking
    7th
    out of 22 in Hadoop
    Views
    215
    Comparisons
    192
    Reviews
    1
    Average Words per Review
    240
    Rating
    9.0
    17th
    out of 22 in Hadoop
    Views
    55
    Comparisons
    45
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    IBM Platform Computing
    Lily
    Learn More
    IBM
    Video Not Available
    Outerthought
    Video Not Available
    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.

    Lily Enterprise sits on top of the Cloudera or Hortonworks Hadoop platforms, and considers the entire Hadoop stack and all data streams, including data warehouses, data lakes, CRM systems, mobile/online or social media activities, contact center applications and POS systems. Lily combines them into one cumulative, organized and actionable solution, and delivers real-time execution of predictive analytical models to help create individual customer profiles, Lily Customer DNA, to give organizations the most accurate, atomic-level view of their customers.
    Sample Customers
    London South Bank University, Transvalor, Infiniti Red Bull Racing, Genomic
    ING, Orange, France Telecom, Alpha Credit, Turkcell, Eni, Zain Group, AXA, Rogers, Toyota, Belfius
    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.
    768,578 professionals have used our research since 2012.

    IBM Spectrum Computing is ranked 7th in Hadoop with 6 reviews while Outerthought Lily is ranked 17th in Hadoop. IBM Spectrum Computing is rated 7.8, while Outerthought Lily 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 Outerthought Lily 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.