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Large object crew, who's with me?!
For background: we have a storage product for large files (like photos, videos, etc). The storage paths are mapped into your Postgres database so that you can create per-user access rules (using Postgres RLS)
This update adds S3 compatibility, which means that you can use it with thousands of tools that already support the protocol.
I'm also pretty excited about the possibilities for data scientists/engineers. We can do neat things like dump postgres tables in to Storage (parquet) and you can connect DuckDB/Clickhouse directly to them. We have a few ideas that we'll experiment with to make this easy
Let us know if you have any questions - the engineers will also monitor the discussion
I have been developing with Supabase past two months. I would say there are still some rough corners in general and some basic features missing. Example Supabase storage has no direct support for metadata [2][3].
Overall I like the launch week and development they are doing. But more attention to basic features and little details would be needed because implementing workarounds for basic stuff is not ideal.
[1] https://bunny.net/ [2] https://github.com/orgs/supabase/discussions/5479 [3] https://github.com/supabase/storage/issues/439
https://www.youtube.com/watch?v=diL00ZZ-q50