tap-hubspot VS airbyte

Meltano can run any Singer tap or target, even if it's not discoverable out of the box. https://github.com/transferwise/pipelinewise-target-s3-csv is a pretty popular target for moving data to S3 as CSVs. Coupled with https://github.com/singer-io/tap-hubspot, https://meltano.com/plugins/extractors/quickbooks.html, and https://github.com/dcereijodo/tap-gsheets you should be able to get up and running. I'm not familiar with SnipeIT so I'm not sure if there's a tap for it, but we've been working on an SDK for Singer taps to make it really easy to build your own.

Some integrations help out by specifying what the configuration should look like in a readme or in a sample config. Even these lead to headaches. They often just list the fields that need to be passed in but do not explain what they mean, what their format is, or how to find them (good luck trying to find all the information you need to configure your Google Ads integration!). In other cases, they only list a subset, and then you have to discover the rest by reading the integration (e.g., tap-salesforce doesn’t mention is_sandbox in the docs UPDATE: someone has now added this field in the readme with this PR).

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