Data integration software maker Informatica unveiled HParser, “the first data parsing transformation solution for Hadoop environments” that runs natively inside MapReduce to increase the overall efficiency and performance of a deployment.  The offering is compatible with almost every Hadoop distro according to the company,  and works by  structuring data such as  social media interactions in order to reduce the workload on Hadoop.

Juan Carlos Soto, SVP and general manager of Informatica’s B2B Data Exchange and Cloud Data Integration unit provided a run-down of the new product.

“HParser combines Informatica’s latest innovation optimized for Hadoop with our unrivaled experience in parsing unstructured data and handling industry-standard formats. Informatica HParser is a pivotal milestone on our roadmap for helping enterprises leverage big data, and is yet another Informatica solution designed to help organizations maximize their Return on Data.”

HPraser approaches the goal of boosting the performance of Hadoop deployments from several different angles: it includes a visualized IDE that simplifies developers’ job, which creates a collapsed format that also makes  business rule validation easier.

In addition to supporting a lot of the Hadoop distributions currently available on the market, HPraser supports an even greater number of number formats used by the financial, healthcare and telecommunications industries, as well as market data. On top of that, the platform can process complex machine-generated logs and is optimized to leverage MapReduce’s parallelism.

HPraser is available in a community edition as well as several commercial versions with expanded functionality.

Informatica’s latest addition to its big data offerings portfolio will help it expand a  strategy that has been working out well so far. Last month it landed a contract with the San Antonio, Texas-based Frost Bank to power its analytics infrastructure using its flagship product,  Informatica PowerCenter Advanced Edition.