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Unlike the movie mentioned in the image (for those who don't know, Matrix, 1999), the choice between Dynamic SQL and Embedded SQL is not a choice between truth and fantasy, but it is still a decision to be made. Below, I will try to make your choice easier.

If your need is interactions between the client and the application (and consequently the database), Dynamic SQL may be more appropriate, as it "adapts" very easily to these query changes. However, this dynamism has a cost: with each new query, it is remodeled, which can have a higher cost to execute. Below is a simple example of a Python code snippet.

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· Nov 10, 2020
Why change?

I have already asked a question about migrating an Oracle database to Caché, and I was promptly answered. Now, I have one more question, however it is more conceptual. In general, any tool defends its benefits, and looking at Caché's, among many, there is a lot of talk about speed. The question is, if I already have a database, and at the moment, its performance is not a problem, I would like to know what else could influence the change of this database? Remembering that it is functional and without any apparent problem.

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