Compare IBM Spectrum Computing vs. Splice Machine

IBM Spectrum Computing is ranked 14th in Hadoop while Splice Machine which is ranked 15th in Hadoop. IBM Spectrum Computing is rated 0, while Splice Machine is rated 0. On the other hand, IBM Spectrum Computing is most compared with Cloudera Distribution for Hadoop, whereas Splice Machine is most compared with JethroData, Cloudera Distribution for Hadoop and Spark SQL.
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IBM Spectrum Computing Logo
984 views|249 comparisons
Splice Machine Logo
733 views|290 comparisons
Ranking
14th
out of 24 in Hadoop
Views
984
Comparisons
249
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
15th
out of 24 in Hadoop
Views
733
Comparisons
290
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Find out what your peers are saying about Apache, Cloudera, Hortonworks and others in Hadoop. Updated: July 2019.
361,058 professionals have used our research since 2012.
Top Comparisons
Compared 24% of the time.
Compared 13% of the time.
Also Known As
IBM Platform Computing
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Splice Machine
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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.

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.
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Sample Customers
London South Bank University, Transvalor, Infiniti Red Bull Racing, Genomic
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Find out what your peers are saying about Apache, Cloudera, Hortonworks and others in Hadoop. Updated: July 2019.
361,058 professionals have used our research since 2012.
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.
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