Srinivasan SugumarAnalytics and Reporting Manager at a financial services firm
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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
Informatica Big Data Parser is ranked 10th in Hadoop while Spark SQL is ranked 4th 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 and Netezza Analytics.
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