"Applications come, applications go, they crash, they change, they are fleeting."
The data however -- that'll be here long.
Programming language come, programming languages go, DBMSs come, DBMSs go,
In fact, I've seen successful Cobol, Fortran, VB, Perl, PHP, Java, Python, whatever language; FoxPro, Sybase, DB2, Oracle, MySQL, Cassandra HBase, whatever database.
The data, well, Our POs(orders) and Clients data have been in a database for over 12 years now -- the applications that access (should say "have accessed in the past for they no longer exist") it come and they go and there will be many many many more in the future.
The solution is there: SOA (Modular programming)
SOA is a design principle, whereas web services is an implementation technology. You can build a Service-Oriented Application with Python, .Net, C, Java, or PL/SQL, T-SQL.
The basic building block... is the service. A service is a self-contained software module that performs a predetermined task: e.g. a business transaction to submit order, audit the changes, update inventory, update finance data, queue the changes to asynchronous batch notice buyers ...; that comes to the Transactional database API.
The main theme behind SOA is to find the appropriate modularity ... where the modules don't have too much tight coupling. such as UI, Business rule and DAL.
An typical bad example is the Buyer Order Tracker UI, the reporting UI rule is tightly coupled with data access, make it so hard to refactor the data access part. Buyer Order Track has made database performance plunged many times.
If we implement the SOA, the database handle the data access, and the Java handle the UI, it'll be a piece of cake to fix the Buyer Order Track database performance issue.
When we want to migrate from Oracle to Sybase, just write a new DB API on Sybase, UI application call the new API.
When we want to migrate from .Net to Java, just write a new UI module, that calls the same DB API to access the data.
Notes: many statements are referenced from AskTom
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