General Feedback

It would be great if we can choose the region of our primary database as well. With application servers and users in the EU there's still quite a bit of latency when connecting to the US primary.

I'm getting error same as link: https://stackoverflow.com/questions/74637341/intellij-idea-not-connecting-to-postgres-database even though replaced the slash with dot in the database name

I have collections of sqlite3 files. It would be nice if sqlite3 files could be uploaded just like a csv file.

I've got a csv file with a number of header rows (about 10) before the main table. If there is a way to skip these then it wasn't obvious to me when doing the drag-n-drop step

Currently, when I share a URL I can only share a repo but sometimes I want to share a link to a specific table.

I suppose here this might look like a view or materialized view, but would be awesome if I could save the results from the Query Editor as a table within the repo.

I want the ability to upload ".numbers" files exported from Mac's spreadsheet application, Numbers.

Hi, I saw your tool through Data Elixir. I'm already using Athena and Boto3 to query my data directly in Jupyter notebook. What catch my attention is the way to share the data. Most of my PhD fellas don't know cloud computing and Jupyter. So your tool seems very handy to share and manipulate data. However, the tool is not so user-friendly. I mean it is too small to write a query. If you work with Athena, BigQuery or traditional tools, you'll see it's bigger, hence more convenient to write a query. Here, it is constrained in a small box on the bottom right/left. Same idea for the "plot chart box". Too small, and cannot see anything. For a quick look, Kaggle interactive is better. I really like the idea of the product, but it is yet not easy to work with, and especially for newbies who are not familiar with cloud computing technologie. keep up!

When I drag and drop a CSV file, I want the option (chosen by default) to create the table's columns based on the first row of the CSV file.

1) Convenient means of verifying data integrity to a repo creator without having to re-download the file 2) A public dataset should be easily provable to be identical to the source (especially where the source has a readily available MD5 / SHA256 hash associated w/ the data) Stretch goal for point #2- during upload, allow the uploader to specify a URL linking to the MD5 / SHA256 checksum of the source data (presumably from the same domain name) that is embedded in a page, as well as a CSS selector to grab the hash from the page's HTML. Upon upload, bit.io could then issue an API call to https://archive.org to snapshot the page and link the snapshot in the repo along with the extracted checksum. It's an advanced workflow but would provide a future-proof way to verify that the original dataset came from the source of the MD5 hash.