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Hello! So this is a project that uses Postgres, which is a popular (powerful!) open source SQL implementation. It's possible to run postgres in a wide variety of environments -- you can install it directly to a server of course but also Amazon RDS supports postgres and there are well maintained Docker / Kubernetes containers as well. Other flavors of SQL would not be supported out of the box (e.g. MySQL, Microsoft SQL, etc). This is because they would require us to swap out libraries and also update our error processing logic throughout the endpoints (for instance we have code to map various postgres error codes to various HTTP error codes). I hope that answers the core question. |
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Hi Team - thanks for all the awesome work on this. Just to clarify - the options for the backend db on this are very flexible. Can you provide some comments around that for those that may have concerns the backend db is limited to specific tech? Thanks @slifty
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