Compare IBM Spectrum Computing vs. Informatica Big Data Parser

IBM Spectrum Computing is ranked 6th in Hadoop with 3 reviews while Informatica Big Data Parser is ranked 10th in Hadoop. IBM Spectrum Computing is rated 7.0, while Informatica Big Data Parser is rated 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 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
6th
out of 24 in Hadoop
Views
303
Comparisons
158
Reviews
3
Average Words per Review
289
Avg. Rating
7.0
10th
out of 24 in Hadoop
Views
880
Comparisons
811
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Top Comparisons
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: December 2019.
382,745 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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