Compare IBM Spectrum Computing vs. Informatica Big Data Parser

IBM Spectrum Computing is ranked 14th in Hadoop while Informatica Big Data Parser which is ranked 9th in Hadoop. IBM Spectrum Computing is rated 0, while Informatica Big Data Parser is rated 0. On the other hand, IBM Spectrum Computing is most compared with Cloudera Distribution for Hadoop, whereas Informatica Big Data Parser is most compared with Apache Spark, Spark SQL and Cloudera Distribution for Hadoop.
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Ranking
14th
out of 24 in Hadoop
Views
984
Comparisons
249
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
9th
out of 24 in Hadoop
Views
954
Comparisons
812
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.
360,852 professionals have used our research since 2012.
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Also Known As
IBM Platform ComputingBig Data Parser
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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.

Informatica Big Data Parser enables access to the most difficult data and file formats in Hadoop, reducing the time and cost of developing data handlers by 70 percent. It enables IT organizations to efficiently manage industry standards, binary documents, and hierarchical data.

Big Data Parser provides a unique development environment for lean data integration. With this software, your IT organization can view data samples within Big Data Parser Studio and understand their structure and layout through a set of integrated tools

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Sample Customers
London South Bank University, Transvalor, Infiniti Red Bull Racing, GenomicWestern Union, UPMC, BNY Mellon
Find out what your peers are saying about Apache, Cloudera, Hortonworks and others in Hadoop. Updated: July 2019.
360,852 professionals have used our research since 2012.
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