This one, although it’s a custom orchestration system, not Kubernetes. (there are some similarities but our system is really optimized for data workloads)
We manage Iceberg for easy data versioning, take care of data caching and Python modules, etc., and you just write some Python and SQL and exec it over your data catalog without having to worry about Docker and all infra stuff.
I wrote a bit on what the efficient SQL half takes care of for you here: https://www.bauplanlabs.com/blog/blending-duckdb-and-iceberg...
> In the end I kind of understand it as similar to sqlmesh, but with a "BYO compute" approach? So where sqlmesh wants to run on a Data Warehouse platform that provides compute, and only really supports Iceberg via Trino, bauplan is focused solely on Iceberg and defining/providing your own compute resources?
Philosophically, yes. In practice so far we manage the machines in separate AWS accounts _for_ the customers, in a sort of hybrid approach, but the idea is not dissimilar.
> Should I understand therefore that this is only usable with an account from bauplanlabs.com ?
Yep. We’d help you get started and use our demo team. Send jacopo.tagliabue@bauplanlabs.com an email
RE: pricing. Good question. Early startup stage bespoke at the moment. Contact your friendly neighborhood Bauplan founder to learn more :)
