I have started working on a project in the financial services industry that is based (mainly) on SQL Server (2000), ColdFusion (8), and some Access/.NET applications. This project started as some simple Access forms/VBA and was slowly converted to web interfaces.
I could say that the database design and application coding was done by people that were learning on the job and didn't have the opportunity to learn about good design principles from the start. Many of the business rules are set in a myriad of cascading functions and stored procedures as well as in the web server templates. There is a huge amount of special case handling deep within complex 500-line SQL UDFs that use uncommented constants. It is very difficult to trace all of the interactions between the 10-20 UDFs that might be involved in a query. Some of the queries seem to take way too long to run (up to 15 minutes).
While the tables are fairly well indexed, there is a lack of FK relationships and almost no referential integrity. The DB is updated infrequently with daily batches of low volume (1,000 records in multiple tables.) It is primarily used to serve as a data repository - I suppose a data warehouse. We get very infrequent deadlocks or delays.
So, my question is: If I want to re-implement the whole project including the database and front-end would it make sense to look at non-relational implementations? The primary DB is only about 1GB (.mdf) so it could fit easily in memory. I would like to move from the SQL query structure to some declarative model that could be efficiently compiled and executed. If necessary, I could use the SQL DB just as a data store.