Jens Krueger
ABSTRACT
Database systems in the context of business data processing are segmented into two categories: those intended for online transaction processing (OLTP) and those for online analytical processing (OLAP). Over the last 15 years, database management system (DBMS) proposals directly addressing one of those categories were most represented in terms of academic publications and variety of commercial products in the domain of enterprise computing.
In contrast, the most innovative DBMS proposals in this century were invented not by addressing a well-known category but by following a methodology that purely focuses on the application characteristics as practiced by Amazon or Google. This paper applies a part of that methodology to the field of enterprise applications in order to evaluate to what extend they are covered by the categories OLTP and OLAP. The evaluation shows that there are enterprise applications that reveal a mix of those characteristics which are usually exclusively associated either with OLTP or with OLAP and therefore cannot be addressed adequately by traditional DBMS.
The paper contributes by pointing out that those applications cause an online mixed workload and by explaining what properties a corresponding specialized DBMS should have and how this category of enterprise applications could benefit from it.
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