DataTorrent Reports Record-Breaking Hadoop Big Data Processing

DataTorrent said it has surpassed a new milestone in the world of Big Data and Hadoop analytics: The company's DataTorrent Real-Time Streaming (RTS) platform, which it released June 3, can process more than 1 billion data events per second.

Most existing Hadoop data solutions provide the scalability and stability that enterprises need in the age of Big Data, but they suffer from a performance barrier because they cannot process data fast enough, DataTorrent said. In contrast, the new DataTorrent RTS platform "allows organizations to harness the full potential of Big Data by enabling faster data ingestion, data processing and more timely data insights," according to the company.

DataTorrent is also emphasizing the product's compatibility and ability to integrate with other Big Data technologies. The software can process information from any source in real time. It also can load the archived results into any data store, ensuring "that an organization’s existing processes work the same, just sooner," as a result of the platform's real-time processing, the company said.

DataTorrent is hardly the first vendor to focus on real-time data processing, which is essential for solving a central paradox of the Big Data age: As the volume of data that Hadoop and other solutions can store becomes ever greater, the ability of analytics tools to process that ever-expanding body of information as fast as it is produced becomes more difficult. But the 1 billion events-per-second milestone sets DataTorrent RTS apart from the competition, while also signaling the type of solutions that the channel can expect to become more common as Big Data evolves.

DataTorrent RTS is now available for download from the DataTorrent website.