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- I think all of your first bullet-points also apply, if you write the business logic in e.g. a Java-Framework. Switching the DB-Engine will change performance characteristics and require retesting and maybe rewriting statements. If you write the SQL-Statements e.g. as Strings in you application, you have the same problem with changing variables breaking stuff. You need to decide if you app uses a technical user or individual users to connect to the DB and so on...Falco– Falco2019-09-17 08:59:30 +00:00Commented Sep 17, 2019 at 8:59
- @Falco I think if you're using JPA exclusively it shouldn't bee too difficult to change databases. Performance can definitely vary substantially and always needs to be tested. A couple services I maintain aren't "micro" in the sense that they can scan or aggregate over millions or billions of data points and return arbitrarily large (often paginated) data sets. I can't imagine using JPA for them, but I can imagine changing the underlying database engines (and rewriting the SQL) while maintaining the same API.ngreen– ngreen2019-09-20 15:33:43 +00:00Commented Sep 20, 2019 at 15:33
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