Compare Amazon EMR vs. Informatica Big Data Parser

Amazon EMR is ranked 8th in Hadoop while Informatica Big Data Parser is ranked 10th in Hadoop. Amazon EMR is rated 0, while Informatica Big Data Parser is rated 0. On the other hand, Amazon EMR is most compared with Hortonworks Data Platform, Cloudera Distribution for Hadoop and Apache Spark, whereas Informatica Big Data Parser is most compared with Apache Spark, Spark SQL and Cloudera Distribution for Hadoop.
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Amazon EMR Logo
2,954 views|2,436 comparisons
Informatica Big Data Parser Logo
882 views|806 comparisons
Ranking
8th
out of 24 in Hadoop
Views
2,954
Comparisons
2,436
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
10th
out of 24 in Hadoop
Views
882
Comparisons
806
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: November 2019.
377,556 professionals have used our research since 2012.
Top Comparisons
Compared 16% of the time.
Also Known As
Amazon Elastic MapReduceBig Data Parser
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Amazon
Informatica
Overview
Amazon Elastic MapReduce (Amazon EMR) is a web service that makes it easy to quickly and cost-effectively process vast amounts of data. Amazon EMR simplifies big data processing, providing a managed Hadoop framework that makes it easy, fast, and cost-effective for you to distribute and process vast amounts of your data across dynamically scalable Amazon EC2 instances.

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
YelpWestern Union, UPMC, BNY Mellon
Find out what your peers are saying about Apache, Cloudera, Hortonworks and others in Hadoop. Updated: November 2019.
377,556 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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