Business Logic: Database or Application Layer

Question

The age old question. Where should you put your business logic, in the database as stored procedures ( or packages ), or in the application/middle tier? And more importantly

Answer 1

It's a continuum. IMHO the biggest factor is speed. How can u get this sucker up and running as quickly as possible while still adhering to good tenants of programming such as maintainability, performance, scalability, security, reliability etc. Often times SQL is the most concise way to express something and also happens to be the most performant many times, except for string operations etc, but that's where your CLR Procs can help. My belief is to liberally sprinkle business logic around whereever you feel it is best for the undertaking at hand. If you have a bunch of application developers who shit their pants when looking at SQL then let them use their app logic. If you really want to create a high performance application with large datasets, put as much logic in the DB as you can. Fire your DBA's and give developers ultimate freedom over their Dev databases. There is no one answer or best tool for the job. You have multiple tools so become expert at all levels of the application and you'll soon find that you're spending a lot more time writing nice consise expressive SQL where warranted and using the application layer other times. To me, ultimately, reducing the number of lines of code is what leads to simplicity. We have just converted a sql rich application with a mere 2500 lines of app code and 1000 lines of SQL to a domain model which now has 15500 lines of app code and 2500 lines of SQL to achieve what the former sql rich app did. If you can justify a 6 fold increase in code as "simplified" then go right ahead.

Answer 2

Put enough of the business logic in the database to ensure that the data is consistent and correct.

But don't fear having to duplicate some of this logic at another level to enhance the user experience.

Answer 3

There is no standalone right answer to this question. It depends on the requirements of your app, the preferences and skills of your developers, and the phase of the moon.

Answer 4

If you need database independence, you'll probably want to put all your business logic in the application layer since the standards available in the application tier are far more prevalent than those available to the database tier.

However, if database independence isn't the #1 factor and the skill-set of your team includes strong database skills, then putting the business logic in the database may prove to be the best solution. You can have your application folks doing application-specific things and your database folks making sure all the queries fly.

Of course, there's a big difference between being able to throw a SQL statement together and having "strong database skills" - if your team is closer to the former than the latter then put the logic in the application using one of the Hibernates of this world (or change your team!).

In my experience, in an Enterprise environment you'll have a single target database and skills in this area - in this case put everything you can in the database. If you're in the business of selling software, the database license costs will make database independence the biggest factor and you'll be implementing everything you can in the application tier.

Hope that helps.

Answer 5

Putting the code in the application layer will result in a DB independent application.

Sometimes it is better to use stored procedures for performance reasons.

It (as usual) depends on the application requirements.

Answer 6

Bussiness application 'layers' are:

1. User Interface

This implements the business-user's view of h(is/er) job. It uses terms that the user is familiar with.

2. Processing

This is where calculations and data manipulation happen. Any business logic that involves changing data are implemented here.

3. Database

This could be: a normalized sequential database (the standard SQL-based DBMS's); an OO-database, storing objects wrapping the business-data; etc.

What goes Where

In getting to the above layers you need to do the necessary analysis and design. This would indicate where business logic would best be implemented: data-integrity rules and concurrency/real-time issues regarding data-updates would normally be implemented as close to the data as possible, same as would calculated fields, and this is a good pointer to stored-procedures/triggers, where data-integrity and transaction-control is absolutely necessary.

The business-rules involving the meaning and use of the data would for the most part be implemented in the Processing layer, but would also appear in the User-Interface as the user's work-flow - linking the various process in some sequence that reflects the user's job.