101–110 of 172 posts
I understand the criticisms, but in my experience, MongoDB has come a long way. Many of the earlier issues people mention have been addressed. Features like sharding, built-in replication, and flexible schemas have made scaling large datasets much smoother for me. It’s not perfect, but it’s a solid choice.
Genuine question: I appreciate the comments about MongoDB being much better than it was 10 years ago; but Postgres is also much better today than then as well. What situations is Mongo better than Postgres? Why choose Mongo in 2025?
Simple. Postgres is hard, you have to learn SQL. SQL is hard and mean. Mongo means we can just dump everyone into a magic box and worry about it later.No tables to create. But their is little time, we need to ship our CRUD APP NOW! No one on the team knows SQL! I'm actually using Postgres via Supabase for my current project, but I would probably never use straight up Postgres.
Writing code and creating good software requires a lot of mental clarity and effort; that fact is never going to change, not even with AI.
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I don't necessarily agree with the above justifications, but in my experience this is basically why teams pick Mongo. It's easier to get started with.
Now there's a truth about MongoDB, it's easy to get started with. But why is that the top priority?
Maintainability? Secondary. Security? Secondary. Data-integrity/correctness? Secondary.
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Mongo is real distributed and scalable DB, while postgres is single server DB, so main consideration could be if you need to scale beyond single server.
Calling MongoDB a real database compared to PostgreSQL is hilarious. MongDB is basically a pile of JSON in comparison, no matter how much you distribute and scale it.
Genuine question: I appreciate the comments about MongoDB being much better than it was 10 years ago; but Postgres is also much better today than then as well. What situations is Mongo better than Postgres? Why choose Mongo in 2025?
Mongo is Web scale.
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Is it possible that they simply have a good product?
They do have a good product, but "they accumulate tech debt for years, all their devs leave, now they can't move away" is the story of the place I worked at a few years ago. The database was such a disorganized, inconsistent mess that no-one had the stomach (or budget) to try and get off it.
Looks like everyone is jumping into the AI game. Is there a bubble?
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Pretty sure they achieved fiscal nirvana by exploiting enterprise brain rot. You hook em, they accumulate tech debt for years, all their devs leave, now they can't move away & you can start increasing prices. Eventually the empty husk will topple over but that's still years away.
Is it possible that they simply have a good product?
There’s probably some extremely specific niche use-cases where it works well, but I suspect they’re pretty few-and-far-between.
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Mongo is Web scale.
instagram use postgresql and still web-scale (unless this was satire)
How does MongoDB still have that much available to spend? Everyone I know moved off it years ago.