When it Comes to Data Management on the Semantic Web, HBase has the Edge

Researchers at the University of Texas – Pan American have found that HBase “has the edge in data management for next generation Internet and cloud computing users.” The article states, “An open-source, non-relational database written in Java that can scale to thousands of servers, HBase makes many features of Google’s proprietary, high-performance distributed storage system BigTable available to the programming community. It also features a fail-safe library that runs ‘on top of’ a server cluster — a global architecture that detects and handles failures at the local level before they spread.”

It continues, “With similar open-source, scalability and fail-safe features, MySQL Cluster is a relational database whose primary feature is “shared nothing” architecture — interconnected nodes that “share nothing,” including communicable failures. A shared-nothing system won’t fail if one or more nodes fail. Fail-safe scalability, Vailaya explains, makes MySQL and HBase good candidates for storing the Semantic Web, online technology’s artificial intelligence-driven future that Internet inventor Tim Berners-Lee hails as Web 3.0.”

Pearl Brazier, co-author of the study and a UTPA computer science professor noted, “In this time of unprecedented information growth, the fastest growing data category is metadata… It would be difficult to imagine the success of the Semantic Web without efficient and scalable data management tools to support its large-scale metadata-enabled applications.”

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Image: Courtesy HBase