The Future of Data Models

It is difficult to speculate on the future development of database models. Will unstructured data management overcome structured data management? We think that each approach complements and augments the other. O/R databases have proven to efficiently support structured and unstructured data management. Furthermore, history has shown that O/R DBMS are remarkably adaptable in supporting ever-evolving data management needs. Two examples of this evolution are:

Hybrid DBMSs

Hybrid DBMSs are emerging that retain the advantages of the relational model and at the same time provide programmers with an object-oriented view of the underlying data. These types of databases preserve the performance characteristics of the relational model and the semantically rich programmatic support of the object-oriented model.

SQL data services

SQL data services, such as Microsoft SQL Data Services (SDS) on its Azure Services Platform, are becoming a critical component of relational database vendors’ Internet service strategies. These “cloud-based” (that is, remotely processed and Internet-based) data services make it possible for companies of any size to store their data in relational databases without incurring expensive hardware, software, and personnel costs, while having access to high-end database features such as failover, backup, high transaction rates, and global data distribution. Companies can use a “pay as you go” system based primarily on their storage and bandwidth utilization and the features used

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