There's a couple of different options here - they all have tradeoffs, though, and would be pretty esoteric. You don't mention why you want to do this, so I'm guessing performance. If that's the case, I think you're barking up the wrong tree - a simple write is almost certainly not your performance problem.
So, off the top of my head:
- Queuing, as Ragesh mentions, would be a nice approach. This gets you similar semantics of a transaction, while off loading the write. You still have to write to the queue, though, which may be about the same overhead as writing to the DB.
- You could spawn a new thread (using either the ThreadPool or System.Threading.Thread - there's some debates about which is preferable in ASP.NET) to handle the write. This can generally work, but you may have issues with unhandled exceptions, app domain restarts, etc.
- You could store the JSON data into a static or Application variable, then use a Timer to periodically write them to the DB. This will be multithreaded code, so you will need to synchronize read/writes to the collection.
- Similar to #3, store the JSON data into Cache and use the invalidation callback to write to the DB.
- Lots of variations on store somewhere (memory, disk, flat DB table, etc.), process later (ASP.NET, scheduled task, Windows Service, Sql Agent, etc.).
@frenchie says: a response starts by reading the json string from the db and ends with writing it back. In other words, if the user sends a request, the json string that's going to be read must be the one that was written in the previous response.
That complicates things, since inherent in async work is not knowing when something is done. If you require the async portion (writing back to the DB) to be done before handling the next request, you'll have to execute a wait to make sure it actually completed. In order to do that, you'll need to keep server side state on the client - not exactly a best practice as far as services go (though, it sounds like you're already doing that with these JSON request/response pairs).
Given the complications, I would make sure that you've done your profiling and determined it is indeed a performance problem.