I've been experimenting with backend projects using Node and PostgreSQL, and I often wonder when it's worth it to use an ORM such as Sequelize or Prisma. Are there specific scenarios where sticking with raw SQL or using query builders like Knex makes more sense?
5 Answers
For me, it really depends on the project. I lean towards using an ORM for CRUD-heavy applications where speed is crucial. However, for data-intensive tasks or complex analytics where I need advanced SQL features, I prefer raw SQL. The cool thing is that you can actually mix both in the same project if needed.
Totally agree! If you're working with relational data, using an ORM is usually a no-brainer.
I recommend using an ORM when rapid development, type safety, and easy migrations are a priority. I typically use Prisma for most of my projects unless I'm dealing with high-performance needs or complex queries. For those cases, raw SQL or Knex gives me better control and fewer surprises later on. It all really comes down to your long-term goals for the project.
In my current work with PostgreSQL, I almost always opt for an ORM. It simplifies things tremendously. But when I'm faced with an unstable schema or really complex requirements, raw SQL is definitely the way to go. Most importantly, knowing SQL is still crucial!
I lean towards an ORM to avoid the hassle of writing raw SQL unless the query gets too complex. For my personal projects, it just speeds things up—especially since a lot of my SQL is parameterized.
As a Django user, I'm all about ORM. The only scenario where I skip it is when I'm diving into data science or advanced analytics. In those cases, raw SQL definitely has its advantages.
That makes sense! I generally use an ORM for most applications too, but I add raw SQL for the more complicated stuff.