What is an ORM, how does it work, and how should I use one?
Object-Relational Mapping (ORM) is a technique that lets you query and manipulate data from a database using an object-oriented paradigm. When talking about ORM, most people are referring to a library that implements the Object-Relational Mapping technique, hence the …
orm - What is an Object-Relational Mapping Framework? - Stack …
Object-relational mapping (ORM, O/RM, and O/R mapping) in computer software is a programming technique for converting data between incompatible type systems in relational databases and object-oriented programming languages. This creates, in effect, a "virtual object database" that can be used from within the programming language.
ORM vs traditional database query, which are their fields?
2010年8月13日 · 7. ORM is pretty old, at least in the Java world. Major problems with ORM: Object-Oriented model and Relational model are quite different. SQL is a high level language to access data based on relational algebra, different from any OO language like C#, Java or …
The advantages and disadvantages of using ORM [closed]
Disadvantages: Loss in developer productivity whilst they learn to program with ORM. Developers lose understanding of what the code is actually doing - the developer is more in control using SQL. ORM has a tendency to be slow. ORM fail to compete against SQL …
What are some good Python ORM solutions? - Stack Overflow
SQLAlchemy is more full-featured and powerful (uses the DataMapper pattern). Django ORM has a cleaner syntax and is easier to write for (ActiveRecord pattern). I don't know about performance differences. SQLAlchemy also has a declarative layer that hides some complexity and gives it a ActiveRecord-style syntax more similar to the Django ORM.
Using an ORM or plain SQL? [closed] - Stack Overflow
2009年1月30日 · For applications that are reporting-heavy, or deal with a large number of database rows per request, the ORM tax is much heavier, and the caching that they do turns into a big, useless memory-hogging burden. In that case, simple SQL mapping (LinQ or iBatis) or hand-coded SQL queries in a thin DAL is the way to go.
What Java ORM do you prefer, and why? - Stack Overflow
The database comes first. While the application on top of your database may change over time, the database itself is probably going to last longer. Yes, you do have stored procedures and user defined types (UDT's) in your legacy database. Your database-tool should support that. There are many other good ORM's.
Efficiently updating database using SQLAlchemy ORM
SQLAlchemy's ORM is meant to be used together with the SQL layer, not hide it. But you do have to keep one or two things in mind when using the ORM and plain SQL in the same transaction. Basically, from one side, ORM data modifications will only hit the database when you flush the changes from your session.
database - Why should you use an ORM? - Stack Overflow
97. The most important reason to use an ORM is so that you can have a rich, object oriented business model and still be able to store it and write effective queries quickly against a relational database. From my viewpoint, I don't see any real advantages that a good ORM gives you when compared with other generated DAL's other than the advanced ...
Are there good reasons not to use an ORM? - Stack Overflow
There are two reasons why I'd not use an ORM: It is strictly forbidden by the company's policy (in which case I'd go work somewhere else) The project is extremely data intensive and using vendor specific solutions (like BulkInsert) makes more sense. The usual rebuffs about ORMs (NHibernate in particular) are: Speed.