Compare Informatica Big Data Parser vs. Spark SQL

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Top Answer: The performance is one of the most important features. It has an API to process the data in a functional manner.
Top Answer: The pricing of Apache is much more competitive than IBM.
Top Answer: I would like to have the ability to process data without the overhead. To use the same API to process both terabytes data and be able to process one GB of data.
Ranking
10th
out of 26 in Hadoop
Views
741
Comparisons
681
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
6th
out of 26 in Hadoop
Views
595
Comparisons
424
Reviews
4
Average Words per Review
338
Avg. Rating
7.3
Popular Comparisons
Compared 9% of the time.
Compared 21% of the time.
Compared 16% of the time.
Compared 13% of the time.
Also Known As
Big Data Parser
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Informatica
Apache
Overview

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

Spark SQL is a Spark module for structured data processing. Unlike the basic Spark RDD API, the interfaces provided by Spark SQL provide Spark with more information about the structure of both the data and the computation being performed. There are several ways to interact with Spark SQL including SQL and the Dataset API. When computing a result the same execution engine is used, independent of which API/language you are using to express the computation. This unification means that developers can easily switch back and forth between different APIs based on which provides the most natural way to express a given transformation.
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Sample Customers
Western Union, UPMC, BNY MellonUC Berkeley AMPLab, Amazon, Alibaba Taobao, Kenshoo, Hitachi Solutions
Find out what your peers are saying about Apache, Cloudera, IBM and others in Hadoop. Updated: September 2020.
438,944 professionals have used our research since 2012.
Informatica Big Data Parser is ranked 10th in Hadoop while Spark SQL is ranked 6th in Hadoop with 5 reviews. Informatica Big Data Parser is rated 0.0, while Spark SQL is rated 6.6. On the other hand, the top reviewer of Spark SQL writes "GUI could be improved. Useful for speedily processing big data". Informatica Big Data Parser is most compared with Apache Spark, Cask, Cloudera Distribution for Hadoop and Hortonworks Data Platform, whereas Spark SQL is most compared with Apache Spark, AtScale Adaptive Analytics (A3), Amazon EMR and Netezza Analytics.

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