Compare Informatica Big Data Parser vs. Spark SQL

Informatica Big Data Parser is ranked 9th in Hadoop while Spark SQL is ranked 8th in Hadoop with 1 review. Informatica Big Data Parser is rated 0, while Spark SQL is rated 8.0. On the other hand, the top reviewer of Spark SQL writes "A good stable and scalable solution for processing big data". Informatica Big Data Parser is most compared with Apache Spark, Spark SQL and Cloudera Distribution for Hadoop, whereas Spark SQL is most compared with Apache Spark, AtScale and Informatica Big Data Parser.
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366,756 professionals have used our research since 2012.
Ranking
9th
out of 24 in Hadoop
Views
896
Comparisons
818
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
8th
out of 24 in Hadoop
Views
656
Comparisons
524
Reviews
1
Average Words per Review
226
Avg. Rating
8.0
Top Comparisons
Compared 27% of the time.
Compared 17% 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 Mellon
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Find out what your peers are saying about Apache, Cloudera, Hortonworks and others in Hadoop. Updated: August 2019.
366,756 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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