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Home » One Size Does Not Fit All in DB Systems
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One Size Does Not Fit All in DB Systems

Abstract: 

The past 25 years of commercial DBMS development can be summed up in a single phrase: "One size fits all." The traditional DBMS architecture (originally designed and optimized for business data processing) has been used to support many data-centric applications, with widely varying characteristics and requirements. The commercial database market is beginning to transform into a number of segments—most notably, OLTP vs. data warehousing—each of which is defined by a specific workload. Innovative "purpose-built" independent database engines are now being widely adopted to satisfy specific workloads. Picking the right engine for a given workload is a new challenge, and doing this well can offer discontinuous benefits in terms of performance, scale, maintainability, and concurrency.

Andy Palmer, Global Head of Software and Data Engineering, Novartis Institute for Biomedical Research

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