PipelineDB VS pgsql-http

I was experimenting with continuous sql queries in postgres for the same purpose. https://github.com/pipelinedb/pipelinedb

PipelineDB might be of interest. https://github.com/pipelinedb/pipelinedb

I don’t understand the question https://github.com/pramsey/pgsql-http

I am trying to use the supabase http rest client extension to fetch data from an external API. Following the supabase docs and the GitHub repo readme, I have not been able to successfully make a request that requires auth, specifically an API key in the request header with key x-api-key.

- Hasura Remote Schema (https://hasura.io/blog/tagged/remote-schemas/)

If you want more control over the web API and you were going to fetch the data within your Python back-end and process it there, for some use-cases (not all, but some), there are options:

- pg_http (https://github.com/pramsey/pgsql-http)

Life is about trade-offs. Doing the work in SQL is not without its drawbacks, but it's also not without its benefits, and that's true for doing the work in a general-purpose language as well. Whatever the drawbacks of doing it in SQL, one of the benefits has got to be eliminating the impedance mismatch (for people who regard that mismatch as a problem, and the OP seems to be one such person). What I claim is that doing the work directly in the database shouldn't be ruled out in general (the specifics of a given use-case may rule it out in particular) any more the the other common patterns (API hand-written in Python, for instance) shouldn't be ruled out in general.

You could e.g. use the trigger to call http api using e.g. https://github.com/pramsey/pgsql-http

I do this all the time just with Postgres functions. Just turn on the following extensions: http (https://github.com/pramsey/pgsql-http) pg_cron (https://github.com/citusdata/pg\_cron)