datahub VS awesome-data-catalogs

Sounds like you are looking for a data catalog tool instead of db schema management tool. You can check out Amundsen (https://www.amundsen.io/), DataHub (https://datahubproject.io/)

If you are looking for schema change management tool, then you can check out Bytebase (bytebase.com). But it can't answer questions like "which collections contain links to bigmongo.user.id?"

IIUC DataHub (open source project out of LinkedIn) might be relevant here

I’m a huge fan of DataHub, the open source data catalogue spun out of LinkedIn, but it’s best thought of as an observability layer for data assets that can be shared by data engineers and analyst-types. For data users: it’s a stellar search/discovery interface (what datasets are there on this keyword, which are most broadly used across the organization, what downstream products are made with this data, what’s it usually joined to, are it’s upstream pipelines reliable). For data engineers, it’s a comprehensive asset cataloger, crawling your warehouse, orchestrator, modeling layers, features, and reports, matching the lineage into a graph where it can.

If you are looking for a data cataloguing solution, look at Datahub. Haven't used it, but heard good things about it.

What I am looking for is a solution (similar to Amundsen or [Datahub](https://datahubproject.io/)) that also allows to add tables and their metadata manually.

Hello everyone, I'm looking for an open-source data lineage app (e.g. tokern, datahubproject, openmetadata).

What about DataHub? Haven't really used it but I'm actively reading about it and about to use it for some light documentation for some small pipelines.

Check out this GitHub awesome list of Data Catalogs.

Maybe what you want i some specification from which you can build something? In that way, perhaps this can help you https://github.com/opendatadiscovery/awesome-data-catalogs. Airflow uses OpenLineage as a way to send their metadata, and Marquez collects them to show them in their UI (https://openlineage.io/docs/guides/airflow), so I suppose you would want to do something similar? But maybe in that GitHub you can find other specifications that can help you better.

In order to gain a understanding of the tables and their contents in our company, I have implemented one of the existing [data discovery platforms](https://github.com/opendatadiscovery/awesome-data-catalogs) (in my case [Amundsen](https://www.amundsen.io/))). Unfortunately, Amundsen can only display the tables it has access to.

I got nice data catalog summary in case anyone would be interested - https://github.com/opendatadiscovery/awesome-data-catalogs. It is probably biased since author is also author of one of the data catalogs, but still can be quite useful :)

Hi, I would like to know is there any opensource data catalog systems that targets machine learning applications (datasets (unstructral, e.g., text, image, and video) and models) as the citizen?

I have read the awesome-data-catalogs ([1]) list but found none of them is treating ML as 1st cizten and the support for datasets and models are not specific enough.

[1]: https://github.com/opendatadiscovery/awesome-data-catalogs