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Compare Informatica Big Data Parser vs. Spark SQL

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Find out what your peers are saying about Apache, Cloudera, IBM and others in Hadoop. Updated: September 2021.
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Top Answer: Data validation and ease of use are the most valuable features.
Top Answer: There should be better integration with other solutions.
Ranking
10th
out of 22 in Hadoop
Views
572
Comparisons
532
Reviews
0
Average Words per Review
0
Rating
N/A
3rd
out of 22 in Hadoop
Views
674
Comparisons
292
Reviews
5
Average Words per Review
297
Rating
7.0
Comparisons
Also Known As
Big Data Parser
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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 Mellon
UC Berkeley AMPLab, Amazon, Alibaba Taobao, Kenshoo, Hitachi Solutions
Top Industries
VISITORS READING REVIEWS
Computer Software Company30%
Comms Service Provider15%
Financial Services Firm8%
Manufacturing Company7%
VISITORS READING REVIEWS
Computer Software Company32%
Comms Service Provider26%
Financial Services Firm8%
Healthcare Company6%
Find out what your peers are saying about Apache, Cloudera, IBM and others in Hadoop. Updated: September 2021.
542,267 professionals have used our research since 2012.

Informatica Big Data Parser is ranked 10th in Hadoop while Spark SQL is ranked 3rd in Hadoop with 5 reviews. Informatica Big Data Parser is rated 0.0, while Spark SQL is rated 7.0. 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, Cloudera Distribution for Hadoop, Cloudera DataFlow, Cask and Amazon EMR, whereas Spark SQL is most compared with IBM Db2 Big SQL, Amazon EMR, Apache Spark, AtScale Adaptive Analytics (A3) and Netezza Analytics.

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