This is really interesting! Seems on a similar ballpark as graphenedata. How do they compare?
HN user
juanramos
all things data
Either that or an unfortunate accident
Interesting to see how the data transformation space evolves.
This week dbt acquired SDF (conversation here: https://news.ycombinator.com/item?id=42697764), and now Tobiko acquires Quary, another data tool built in Rust.
Excited to see how this will impact the compile times (and developer experience in general) of sqlmesh
Checking their own post, https://www.getdbt.com/product/dbt-core-vs-dbt-cloud, stuff such as the semantic layer and column-level lineage are Cloud exclusive
Spanish I'd say
Really like the concept here!
Can't help to think that that if a Fivetran sync fails, the problem would come back.
Maybe a more sensitive solution is to take the last modified date of all of the sources and use the oldest one as the cutoff, that way you wouldn't be afraid of your relationship tests failing if the sync failed too, although I reckon that this solution assumes that your sync frequency is equal for all of your sources
Imba looks great! Now that v2 is out, what would you say are your priorities regarding Imba? Is there a roadmap somewhere?
What are your thoughts about Gleam lang? Don't you think it covers those conditions?