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> Why not just use the right tool for the job ? (i.e. hosted DB or compute).

Because sometimes you want a database for 10000 rows, or you have 5 logins a month and you don't want a $30/month database running in the cloud.

There's a market out there for real "server-less" database that charges you per rows stored, is priced per read/write operations, and is reasonably priced for a 10000 rows per month, without having to calculate how many 4KB blocks you are going to read or write.




Firebase Firestore?


Like… dynamodb?


Maybe my 10000 rows are 5 tables, 2000 rows each, and I want to have some regular SQL features like joins? Can I do that without having to do joins in code? Because if I have to do joins in code, I can just store data in flat files and process everything in memory. But what if I want to have an existing app designed to run against a db system?

If I have to start writing joins by hand, what's the point of even having a database?


Dynamodb doesn't do well with complex queries. Imagine you've got 4 integer fields, any combination of which can be filtered by a range.

Using dynamoDb, you're going to have a hard time querying if field A, B, and D are included. If you add a fifth field, it's going to be a pain to add to historical data.


Yes but if you only have 10k rows it’s trivial to do manual joins or migrations




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