What am I missing?
On the other hand, definitely encouraging me to go start a side hustle building some ML-tinged BI app on top of Dremio or Fugue or Materialized or Datadog or some other contender for data platform du jour and just hunt down Fortune 500 users to give it away to in exchange for (9 figure!) clout.
https://medium.datadriveninvestor.com/streamlit-vs-dash-vs-v...
Probably worth ~100mil (idk?) - however, probably adds a billion to snowflakes market cap, hence the pricetag.
https://investors.snowflake.com/news/news-details/2022/Snowf...
We changed the URL above to what seems to be the best third party article (for reasons I was explaining in a different thread earlier: https://news.ycombinator.com/item?id=30531133).
Our data is quite complicated and needs a lot of custom code & filtering. Even relatively simple analytical questions need some custom code, if people don't want to do almost everything manually (i.e.: Origin, Export to Excel, crop and move around data...).
Over the years I built up libraries and functions for some of these tasks and with Streamlit I can just slap a sufficiently nice interactive GUI on top in 1-2 hours and iterate the analysis live during a call (give them the URL and ask what additional filters, visualizations they would need, adapt the code in the background and they see the results instantly).
Overall, congratulations - well earned. Also, I considered applying for a position there and regret not doing so.
This resembles the Google Cloud acquisition of Kaggle, or Microsoft's acquisition of Github. For better or for worse, these larger players / platforms are buying a large community around the hip tool. Snowflake wants to be a giant data platform company, not just "another data warehouse".
As a user of data tooling, bundling data pipelining, cloud warehousing, visualization, and MLOPs into a consistent environment is helpful and lowers tooling cost. Streamlit is frankly fantastic and one of my personal favorite tools.
Source: Myself, and I have family that run Datateer, an up and coming pipelining/analytics ops player in the space.
A few months ago I tried building a configuration manager for robusta.dev using streamlit.
Basically I wanted to autogenerate a frontend for arbitrary Pydantic models (in my case configurations of Kubernetes automations). The tooling was still lacking so I abandoned the project, but it was really cool just how far I could get with writing almost no code. A way better experience than all the no code tools IMO
It's no harder to get out of Snowflake than it is to get out of any other SQL based RDBMS. If we were relying on the fact that we manage the files in S3 instead of the customer to keep our customers on board, we wouldn't have a business.
I will grant that there's non-ANSI features in Snowflake that our competition don't offer, but it would be weird to describe "have awesome features" as being lock-in.
For the full fiscal 2023, we expect product revenue between $1.88 billion and $1.9 billion, representing year-over-year growth between 65% and 67%.
So growth slowing from 100% yoy, hence shares -20% pre market
They look similar from the preview.