I'm not a database admin or architect, so I have to ask those who do it 24/7. How established is the concept of an ORM (object relational mapping) in the world of database administration and architecture? Is it still happening, widely approved but still in its early stages, or is generally disapproved? I'm learning this area and would like to get a feel for whether it's going to be knowledge appreciated by the wider segment of this field.
The term "object-role model" was coined in the 1970s and ORM based tools have been used for more than 30 years – principally for data modeling. More recently ORM has been used to model business rules, XML-Schemas, data warehouses, requirements engineering and web forms.
An object-relational mapper provides an object-oriented layer between relational databases and object-oriented programming languages without having to write SQL queries. It standardizes interfaces reducing boilerplate and speeding development time.
Object–relational mapping (ORM, O/RM, and O/R mapping tool) in computer science is a programming technique for converting data between type systems using object-oriented programming languages. This creates, in effect, a "virtual object database" that can be used from within the programming language.
A lot of places are using them, that doesn't mean they are using them well or that they are a good idea for the long term health of the database. Doesn't mean they aren't either, usually it just means the people choosing them don't think about how this affects database design, maintenance and performance over time.
ORMs are widely used. Django (python web application framework) uses SQLAlchemy. Hibernate is popular for Java programs. ORMs make SQL application development faster, reduce the amount of boilerplate code that you must write, and hide which database you are using from the rest of the application. Performance may suffer using an ORM, so be prepared to customize things as needed.
Widely used and definitely the present and near future. Database access through a handcoded layer of SQL generation was always fraught with drudgery and typos, and was unwieldy at best. ORMs let you use a persistence store in a programming way.
I thought this blog argued for it well: http://jonkruger.com/blog/category/fluent-nhibernate/ and SO posts like this (nHibernate versus LLBLGen Pro) show just how many people are using them.
I can tell you from my experience. We are a $2.5B solar manufacturing company and we are basing our next generation of products on ORM technology. We're using Linq-To-SQL, quite successfully. We are very happy with it.
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