A Call to Arms: Long anticipated, the arrival of radically restructured database architectures is now finally at hand.

Abstract

We live in a time of extreme change, much of it precipitated by an avalanche of information that otherwise threatens to swallow us whole. Under the mounting onslaught, our traditional relational database constructs—always cumbersome at best—are now clearly at risk of collapsing altogether. In fact, rarely do you find a DBMS anymore that doesn’t make provisions for online analytic processing. Decision trees, Bayes nets, clustering, and time-series analysis have also become part of the standard package, with allowances for additional algorithms yet to come. Also, text, temporal, and spatial data access methods have been added—along with associated probabilistic logic, since a growing number of applications call for approximated results. Column stores, which store data column-wise rather than record-wise, have enjoyed a rebirth, mostly to accommodate sparse tables, as well as to optimize bandwidth.

Index Terms

• Information systems

  • Data management systems

    • Database management system engines

  • Information retrieval

    • Retrieval tasks and goals

      • Clustering and classification

  • Information systems applications

    • Data mining

      • Clustering