IBM Spectrum Computing vs Splice Machine comparison

Cancel
You must select at least 2 products to compare!
IBM Logo
214 views|190 comparisons
40% willing to recommend
Splice Machine Logo
130 views|46 comparisons
Comparison Buyer's Guide
Executive Summary

We performed a comparison between IBM Spectrum Computing and Splice Machine 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).
770,292 professionals have used our research since 2012.
Featured Review
Mohamed Youssef
Use Splice Machine?
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 →

    Information Not Available
    report
    Use our free recommendation engine to learn which Hadoop solutions are best for your needs.
    770,292 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.
    Ask a question

    Earn 20 points

    Ranking
    7th
    out of 22 in Hadoop
    Views
    214
    Comparisons
    190
    Reviews
    1
    Average Words per Review
    240
    Rating
    9.0
    13th
    out of 22 in Hadoop
    Views
    130
    Comparisons
    46
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    IBM Platform Computing
    Learn More
    IBM
    Video Not Available
    Splice Machine
    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.

    Splice Machine is an application platform built to power predictive applications that manage operational processes, large-scale IoT infrastructures, analytical processing and machine learning. It is a Hybrid RDBMS that can be delivered as a cloud service, or used on premise through our Enterprise Edition or Community Edition.
    Sample Customers
    London South Bank University, Transvalor, Infiniti Red Bull Racing, Genomic
    Cetera Financial Group, Clearsense, Infinera, Maryland, Kroger
    Top Industries
    VISITORS READING REVIEWS
    Comms Service Provider31%
    Media Company17%
    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.
    770,292 professionals have used our research since 2012.

    IBM Spectrum Computing is ranked 7th in Hadoop with 6 reviews while Splice Machine is ranked 13th in Hadoop. IBM Spectrum Computing is rated 7.8, while Splice Machine 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 Splice Machine is most compared with QueryIO.

    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.