[jzelinskie]

This is really cool -- congrats on the launch! Similarly, the team over at AuthZed has created a playground for SpiceDB[0], by using WebAssembly and Monaco.

We debated for hours whether or not to go the notebook route. I'm sure y'all did something similar; would you care to share your reasons for going with the notebook?

[0]: https://play.authzed.com

[amunra__]

We actually do have a web based demo which is https://demo.questdb.io/ preloaded with millions of rows of data.

That one focuses on SQL queries though.

The notebook in https://play.questdb.io/ offers a more rounded experience to try out any and all of our features.

You can use the notebook to try out data ingestion, dropping partitions and more that is simply not possible in a more sandboxed environment.

The other part is that we value our Python users and wanted to provide an example of how to use our database in conjunction with other tools commonly used in the data science space to slice and dice time series data.

[zX41ZdbW]

The demo does not work at all: https://github.com/questdb/questdb/issues/1525

[nhourcard]

I think this is a little bit harsh; you are pointing to one specific query that does not work out of a dataset of 1.6 billion rows exposed live to the internet and could sustain tens of thousands of users concurrently. In any case, we're grateful for the cto of clickhouse to point those things so we can improve the product further. But generalisations such as "the demo does not work at all" is not a fair comment, nor beneficial IMO.

[zX41ZdbW]

Sorry, but it does not work for 1.5 years already. Every time I check it does not work.