Hadoop vs mongoDB for eDiscovery

MongoDBLogoThere is no doubt that relational database technology is still the prevalent platform for storing data within corporations worldwide and the platform used by most of the legacy software vendors within the eDiscovery.   However,   there are no much faster and more efficient technologies such as Hadoop and mongoDB.

Therefore, over the next few months, I will be publishing information about these new technologies and offering my opinions about where they fit within eDiscovery.  As a place to start, following is an introductory video from Pythian’s CTO Alex Gorbachev sharing his insights on when you should use Hadoop and mongoDB.

About Charles Skamser
Charles Skamser is an internationally recognized technology sales, marketing and product management leader with over 25 years of experience in Information Governance, eDiscovery, Machine Learning, Computer Assisted Analytics, Cloud Computing, Big Data Analytics, IT Automation and ITOA. Charles is the founder and Senior Analyst for eDiscovery Solutions Group, a global provider of information management consulting, market intelligence and advisory services specializing in information governance, eDiscovery, Big Data analytics and cloud computing solutions. Previously, Charles served in various executive roles with disruptive technology start ups and well known industry technology providers. Charles is a prolific author and a regular speaker on the technology that the Global 2000 require to manage the accelerating increase in Electronically Stored Information (ESI). Charles holds a BA in Political Science and Economics from Macalester College.