Postgrest works very well as this shim layer, though I've moved on to writing sql directly in the client and communicating through a web socket shim. In terms of reducing code complexity and improving performance this is absolutely unbeatable, you just need to parse incoming sql to sanitize it and make sure there is no role escalation. Because of postgres's foreign data wrappers this method can provide a consistent surface for basically all your enterprise data. The only gotcha with FDWs is that some of them don't "push down" many query clauses, so you end up doing much slower queries on the remote system and filtering locally, which is terrible for obvious reasons. That being said, the FDWs are pretty much all open source, so you can just implement push down support for those missing clauses yourself.
"Just"? I guess I'm skeptical of a statement that begins "you just have to parse sql".
Is this actually easier than I'm imagining it? I'd be curious to hear more about the security and authorization model of this approach.
A good tool for this purpose is https://github.com/JavaScriptor/js-sql-parser as it will fail to parse complex statements that are likely to include an attack vector.
In terms of authorization, you can either create per user connection pools if using web sockets and log the user in directly that way (which makes things easy) or if you must use rest, use a single connection pool with a master user then use some form of token to tell the shim who to set role to before executing the query.