FREMONT, CA — (Marketwired) — 10/09/14 — , the leading provider of data-centric security and data governance solutions for Big Data, today announced it has expanded its DgSecure platform to support Hadoop-in-the-Cloud, including the largest cloud Hadoop implementation, Amazon EMR (Elastic MapReduce). Additionally, key Big Data cloud service providers, Altiscale and Qubole, have joined Dataguise–s (BDP3) to leverage Dataguise DgSecure to provide comprehensive discovery, protection and visibility to sensitive data for their cloud-based Hadoop customers. Already a certified partner of Cloudera, Hortonworks and MapR, Dataguise is now the only vendor that supports 100 percent of the major Hadoop distributions along with Hadoop-in-the-Cloud, traditional databases, files and SharePoint.
New #BigData Data-Centric Security Privacy Compliance & Governance for #Hadoop in the #Cloud from @Dataguise #datasecurity
“As a leading Software-as-a-Service (SaaS) provider of Electronic Health Records (EHR) and Enterprise Practice Management (EPM) products in a cloud-based model, our focus is on bringing business value and efficiencies to thousands of customers (medical practices), while meeting the challenge of providing data privacy and compliance regulations for over 160,000 –lives– (patients) in accordance with HIPAA and HITECH,” said Gurpreet Singh, CEO, Health-e-Link. “Dataguise provides the ability for us to take advantage of the cloud without compromising data privacy and security, and we see invaluable opportunities to leverage this technology to grow our business.”
“Dataguise has an unparalleled solution for integrating data discovery, data security and data governance across heterogeneous data sources,” said Sunil Soares, founder and managing partner of Information Asset and former director of Information Governance at IBM. “As a Dataguise partner, we are thrilled to see them extend their solution to run in the cloud, making it even easier to identify and protect sensitive data wherever it is located.”
The “Hadoop-as-a-Service” (HaaS) market, also termed “Hadoop-in-the-Cloud,” is projected to grow to $16.1 billion by 2020, according to a report from . The report goes on to explain that HaaS has emerged as a replacement to on-premises Hadoop, as it is comprised of data storage in the cloud and its analysis through Hadoop without the need to install any infrastructure in the premises. With Dataguise–s DgSecure platform support for Cloudera, MapR, Hortonworks, Pivotal, IBM BigInsights, and now Amazon EMR, along with its partnerships with Altiscale and Qubole — enterprises now have the flexibility to deploy Hadoop however it best fits their business, whether on-premise or in the cloud, while maintaining compliance and protecting sensitive data with the most comprehensive solution available.
“The Altiscale Data Cloud is the only cloud infrastructure purpose-built for Hadoop, delivering a more reliable, enterprise grade solution than alternatives,” said Raymie Stata, CEO, Altiscale and former CTO, Yahoo. “Our partnership with Dataguise further expands our commitment to our customers to provide the most secure Hadoop-as-a-Service to companies that are looking for production-grade Hadoop.
“Qubole provides an enterprise scale cloud platform that features auto-managed Hadoop clusters on Amazon and Google clouds, and that processes more than 50 petabytes of data every month,” said Ashish Thusoo, CEO and co-founder Qubole. “The simplicity of management and ease of use of our offering enables enterprises to provide widespread and cross organizational data access to their data users. We are delighted to further enhance secure data sharing for Qubole users with the leading Big Data security solution from Dataguise.”
Dataguise 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. With this announcement, Dataguise and its partners offer their customers full discovery, encryption, masking and redaction for sensitive data in Amazon EMR, as well as at-rest security for sensitive data stored in Amazon S3.
Companies can quickly install and run DgSecure within the Amazon Web Services. Specific features for Amazon include:
The ability to automatically provision through command lines to create a system from a single command
High availability (warm failover capabilities that trigger in less than one minute)
Multi-cluster support (support for global deployments with multiple Hadoop/EMR clusters from a single console)
Elasticity (allows companies to provision new servers as needed with centralized, integrated configuration)
“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,” said Manmeet Singh, CEO of Dataguise. “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.”
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Dataguise is the leading provider of data-centric security and data governance solutions for Big Data. Organizations in financial services, healthcare, retail, government and other industries that value data privacy and are subject to regulatory compliance rely on Dataguise for discovery, protection (encryption, masking, redaction), audit and intelligence for sensitive data in Hadoop, RDBMSs and other Big Data environments. Dataguise enables businesses to balance the use of Big Data to drive business while protecting privacy and personal identifiable information (PII), maintaining compliance and minimizing the risks of exposure of legally protected or regulated data covered by PCI-DSS, HIPAA, HITECH and the like. Dataguise complements perimeter-based, access-based and application-based security tools by discovering and protecting at the data layer. However, unlike tools that provide simple volume-level or file-level protection, Dataguise provides the most granular cell-level protection. And only Dataguise offers integrated, automated sensitive data discovery and audit capabilities, with no programming or scripting. This enables unprecedented visibility for reporting and data provenance and facilitates data governance. Dataguise is recognized as a visionary by one of the world–s leading analyst firms for its ability to help its customers reduce the risk of data breaches, maintain compliance and protect privacy. For more information: .
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Kristina Richmann
Trainer Communications
925-271-8216
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