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Why Store Your Data In A Relational Database?

With Ted Neward’s recent post on the morass that is Object-Relational mapping , there has been a lot of discussion going around on the topic. In the comments on Atwood&rsq...
Views: 919 Created 09/12/2007

With Ted Neward’s recent post on the morass that is Object-Relational mapping, there has been a lot of discussion going around on the topic. In the comments on Atwood’s post on the subject, some commenters ask why put data in a relational database. Why not use an object database?

The Relational Model is a general theory of data management created by Edgar F. Codd based on predicate logic and set theory. As such, it has a firm mathematical foundation for storing data with integrity and for efficiently pulling data using set based operations. Also, as a timeless mathematical theory it has no specific ties to any particular framework, platform, or application.

Now enter object databases which I am intrigued by, but have yet to really dig into. From what I have read (and if I am off base, please enlighten me) these databases allow you to store your object instances directly in the database, probably using some sort of serialization format.

Seems to me this could introduce several problems. First, it potentially makes set based operations that are not based on the object model inefficient. For example, to build a quick ad-hock report, I would have to write some code to traverse the object hierarchy, which might not be an efficient means to obtaining the particular data. Perhaps an object query language would help mitigate or even solve this. I don’t know.

Another issue is that your data is now more opaque. There are all sorts of third party tools that work with relational data almost without regards to the database platform. It is quite easy to take Access and generate a report against an existing SQL database or to use other tools for exporting data out of a relational database. But since object oriented databases lack a formal mathematical foundation, it may be difficult to create a standard for connecting to and querying object databases that every vendor will agree on.

One last issue is more big picture. It seems to me it ties the data too much to the current code implementation. I have worked on a project that was originally written in classic ASP with no objects. The code I wrote used .NET and objects to access the same data repository. Fortunately, since the data was in a normalized relational database, it was not a problem to understand the data simply from looking at a schema and load it into my new objects.

How would that work with an object database? If I stored my Java objects in an OO database today, would I be able to load that data into my .NET objects tomorrow without having to completely change the database? What about in the future when I move on from .NET objects to message oriented programming or agent oriented programming?

Ultimately, the choice between an OO database and a relational database really depends on the particular requirements of the project at hand. However the thought of tying an application to an OO database at this point in time gives me reason to pause. This could lock me into a technology that works today, but is superseded tomorrow. On several projects I have worked on, we totally revamped the core technology (typically ASP to ASP.NET), but we rarely scrapped and recreated the database. The database engine might change over the years (Sql 6.5 to Sql 7 to Sql 2000 to Sql 2005), but the data model survives.

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