First, focus on the exact relationship between these databases. What does "local" mean. Right there on the user's desktop? Shared between all the users in their office? Presumably the local quotes (you do mean stock quotes and not quotas?) could potentiually be a little out of date relative to the central order server's view of the world. Does that matter? I place an order for 100 X at price 78.34, real price may be different. What is the intended behaviour.
My guess is that there is at least some business logic and so we need to decide where that runs. One (thick client) approach is to put that logic on the desktop, the desktop app then might write directly to the central DB. I don't tend to do this for several reasons:
- Every client desktop gets a database connection. Scaling is not good, eventually the database gets unhappy when the number of users gets very large.
- If we need a slightly different app, perhaps exposed to a different set of users via the Web or whatever, we end up reproducing that business logic.
An alternative approach (thin or browser based) keeps the UI on the desktop, but puts the logic on the server. The client can then invoke some kind of service. Now there's lots of possible ways of doing that, a simple Web Service or Rest Service will do the job. I hope it's clear that this service-based appraoch addressed my two points above.
By symmetry I would treat the local databases in the same way, wrap them in services. However it's possible that some more complex relationship between the databases exists and in which case you might need the local service layer to interact with the central service layer.
I'm touting the general pronciple of Do Not Repeat Yourself, implement each piece of business logic once.