Is PostgreSQL with JSONB Better Than MongoDB in 2025?

Honestly, the idea that you're avoiding schemas out of dislike is a common pitfall. If you’re worried about deeply nested JSON complicating queries, you might want to reconsider your database choice. A robust schema can actually simplify things. One thing to note is that if you're mainly updating fields, MongoDB could still be faster, but if you read more than you write, especially using other PostgreSQL features, that’s where it shines.

I've transitioned from using MongoDB to PostgreSQL after realizing that many of the benefits I valued in MongoDB could be achieved with PostgreSQL's JSONB. Over the years, I noticed that while MongoDB allows flexibility, PostgreSQL offers more stability, especially with a team working on the same project. The big plus for PostgreSQL is that you can maintain relational data alongside your JSON structures. It leads to more organized and efficient data management.

When using PostgreSQL and JSONB, remember to consider indexing! JSONB can lead to better performance if used properly, but you'll need to plan your indexes carefully. Also, keep in mind that PostgreSQL has some really cool data types beyond just numbers – like arrays and polygons. This versatility can enhance your project's overall structure, making it easier to manage.

From my experience moving teams from MongoDB to PostgreSQL, the results have been overwhelmingly positive. I almost never see teams revert to MongoDB after making the switch. Although JSONB is useful, think about how much of your data truly needs flexibility. Usually, only a small portion does, while the rest fits better into tables. This hybrid approach allows you to leverage the advantages of both relational databases and flexible schema designs.