Since a lot of ML data is stored as parquet, I found this to be a useful tidbit from lancedb's documentation: > Data storage is columnar and is interoperable w

Since a lot of ML data is stored as parquet, I found this to be a useful tidbit from lancedb's documentation: > Data storage is columnar and is interoperable with other columnar formats (such as Parquet) via Arrow https://lancedb.github.io/lancedb/concepts/data_management/ https://lancedb.github.io/lancedb/concepts/data_management/ Edit: That said, I am personally a fan of parquet, arrow, and ibis. So many data wrangling options out there it's easy to get analysis paralysis.