infoTECH Feature

October 16, 2014

Dataguise Dgsecure Platform Now Supports Hadoop-in-the-Cloud

The market for Hadoop-in-the-Cloud is projected to grow to $16.1 billion by 2020, according to a research report. Hadoop-in-the-Cloud is to be a replacement to on-premises Hadoop, as it is comprised of data storage in the cloud and its data analysis through Hadoop.

Dataguise, a company specializing in data-centric security and data governance solutions, is all set to tap this market. The company confirmed recently that its DgSecure platform will now support Hadoop-in-the-Cloud, including Amazon Elastic MapReduce.

This expansion of its solution to run in the cloud is aimed at making it even easier to identify and protect sensitive data wherever it is located.

Also, the company mentioned that Hadoop-as-a-Service Companies Altiscale and Qubole have signed a deal with Dataguise for its Big Data Protection Partner Program (BDP3), which will now allow them to leverage Dataguise DgSecure platform to provide discovery, protection and visibility to sensitive data for their cloud-based Hadoop customers.

"We all know the amount of data stored in Hadoop, databases and data lakes on-premise is accelerating at astonishing rates. Simultaneously, the Hadoop in the cloud market is growing just as fast. Companies today are already facing unprecedented data breaches with traditional on-premise data stores. Now, as that data is migrating to cloud, it's more important than ever for enterprises as well as service providers to ensure sensitive information is kept safe," Manmeet Singh, chief executive officer of Dataguise said in a statement.

 "Our data-centric, most-granular field-level approach for Hadoop, on-premise and now in-the-cloud with Amazon EMR and HaaS providers like Altiscale and Qubole, enables our customers and partners to go beyond traditional perimeter-based, access-based and application-based security strategies, with unparalleled ease of deployment and time-to-value," Singh added.

The Dataguise DgSecure platform allows businesses to achieve a 360-degree view of their sensitive data assets across Big Data and traditional data repositories. It detects sensitive data and protects data privacy with relevant remediation policies to preserve the privacy of their data, whether it resides on premises or in the cloud.

To date, Dataguise's DgSecure platform has been supporting Cloudera, MapR, Hortonworks, Pivotal, IBM (News - Alert) BigInsights. The current announcement confirms its support to Amazon EMR as well. This along with its partnerships with Altiscale and Qubole will now help enterprises to have the flexibility to deploy Hadoop as per their business needs and protect their sensitive data.

Dataguise also confirmed that its DgSecure for Hadoop has been tested against the full-suite of Amazon Hadoop capabilities, including EMR, S3, Flume and HIVE services, and optimized for memory management through the Amazon bootstrapping feature. 




Edited by Maurice Nagle
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