pg-bulk-ingest VS airbyte

Ah the name - you're not the first to mention it! Do you (or anyone lurking...) have any suggestions as to what it might better be called?

On what it does/why it exists, we've kept the README quite light to avoid duplication, with the main bits of the docs at https://pg-bulk-ingest.docs.trade.gov.uk/

But to try to answer the question here:

A set of insert statements - there are lots of cases where this would be fine, so pg-bulk-ingest (/its future name ;-) would be unnecessary, and so you might as well use insert statements.

But there are lots of things that pg-bulk-ingest does that a set of insert statements don't:

- It uses COPY, which in many cases is (much?) faster than INSERT

I'l also give a shout-out to Airbyte (https://airbyte.com/), with which I've had some limited success with integrating Salesforce to a local database. The particular pull for Airbyte is that we can self-host the open source version, rather than pay Fivetran a significant sum to do this for us.

It's an immature tool, so I don't yet know that I can claim we've spent _less_ than Fivetran on the additional engineering and ops time, but it feels like it has potential to do so once stabilized.

Link to GitHub -->

When it says "available in open source", is that under the main airbyte repo's licensing [1], hence primarily licensed under the Elastic License v2 and therefore not typically considered open source by many?

Airbyte has previous of advertising their offering as open source while not really being as per the OSD[2]. This has been raised with them previously but without response [3][4]. They've also been extending their use of ELv2, recently moving many of their existing MIT licensed connectors to be ELv2 [5].

[1] https://github.com/airbytehq/airbyte/blob/master/LICENSE

As possible solution, I can suggest Airbyte(https://airbyte.com/). it's more performant than generic python script.

Airbyte, an open-source data integration engine that offers hundreds of connectors with data warehouses and databases, has gained popularity for its seamless integration and data syncing capabilities. Xata's integration with Airbyte offers a streamlined data ingestion process from any Airbyte input source directly into your Xata database.

You can try and contribute some new connectors/operators for workflow managers like Airflow or Airbyte