macpine VS airbyte

I recommend having a look at [1] which allows you to run lightweight alpine VMs on MacOS with easy port forwarding, file sharing, and you can easily run docker inside of it and use docker context to target it.

[1] https://github.com/beringresearch/macpine

I don't see the point of a dedicated tool for this when it is easy enough just to start a Alpine docker container with a couple commands. As this project is just a wrapper for docker and LXD[1] and those tools are already easy enough for the average SWE to interact with, the project seems to just over-complicate an already existing workflow.

[1] https://github.com/beringresearch/macpine#motivation

It uses almost same mounting tech as colima (9p)

Macpine: https://github.com/beringresearch/macpine/blob/71788e9c3c09c...

colima: https://github.com/abiosoft/colima/blob/7ebcf14a69158afa43b2...

So it seems that it has same performance as colima project as well.

As for IO performance, see this colima issue https://github.com/abiosoft/colima/issues/146#issuecomment-1...

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