Dataguise Unveils Industry-first Big Data Protection Partner Program Apr 15, 2014
Manmeet Singh, Dataguise’s CEO
By Mark Cox
Dataguise, which makes Big Data security intelligence and protection solutions, has launched what it considers an industry first – a partner program specifically focused on Big Data protection.
Dataguise has gotten considerable attention because it specially protects the open source Big Data Hadoop software framework. Gartner recently added them to their Data Masking Quadrant. The company’s roots do precede Hadoop, however.
“We founded the company in 2007 from a database point of view, dealing with sensitive data in databases and reporting them up in a dashboard,” said Manmeet Singh, Dataguise’s CEO. “We started masking that data, and covered all the databases, and a lot of people wanted that. And then we got some customers on SharePoint. Then because Hadoop didn’t focus on security, we offered a solution for Hadoop, and that has become a big ecosystem for us. We don’t have any competition there. We do on databases and SharePoint, but not on the Big Data side.”
Singh said that Dataguise is still in its startup phase, but is now building a strong business and getting closer to profitability.
“We are now getting big traction with the customers,” he said. “It took four and a half to five years to develop across all those repositories. We should be positive revenue in a year to a year and a half,”
The partner program is designed to accelerate that by building more and stronger relationships with ISV Technology Partners and expand relationships with integrators and resellers who will carry Dataguise to more customers.
The program is built around the Dataguise product suite, which delivers data privacy protection and risk assessment analytics that allow organizations to safely leverage and share enterprise data.
“We make implementations easier because of our ability to discover and mask sensitive data,” said Patty Nghiem, vice president of marketing and business development at Dataguise. “They need unprotected access to the data, and our product does this. Others will look at our success, but we think it will take at least two years to get to where we are, because competitor access is difficult.”
Key Dataguise ISV technology partners include Cloudera, Hortonworks and MapR, and its product integrations are certified with Cloudera’s CDH 5, Hortonworks 2.0 and MapR M Series.
“Our technology partners don’t compete with us,” Singh said. “They only do the access control. They will not go into the cell level depth, the type of masking we do. They don’t want to get into security.”
“We have to be Switzerland,” Nghiem said. “They don’t work with each other. They compete with each other, but we can be friends with all of these guys.”
The program also supports consulting partners, resellers and SIs who do implementations relating to Big Data and Hadoop.
“We have had Technology Partners for a while now, but we now have a few SIs and we are really growing that,” Nghiem said. “SIs relay that information to their customer base. So this really is an important channel for us. They have a lot more feet on the street than we do.” She also indicated they are working with some very large integrators who have not yet been announced, as well as with some OEMs.
The program provides access to the Dataguise Partner Portal which includes security best practices, use cases, product training and a library of sales and marketing tools.
“The portal has different tiers for partners, because the larger guys aren’t just Big Data and the smaller guys are, and both need programs that speak to them,” Nghiem said.
Other benefits include: sales team engagement and deal registration; joint marketing, selling and consulting services opportunities, communications, logo usage and event support; eligibility for internal use licenses for demo, test and enablement activities; and sales and technical enablement, support and product updates.
“One of our partners, Compuware, uses our technology to go across all databases, which we give them as a free license, discover the sensitive data in discoveries, and tell customers where it is located,” Singh said. ”They built a practice around this discovery, masking and encryption using our product and that’s what we expect the Accentures and Deloittes will do.”