DataScreenIQ vs Great Expectations / Soda / dbt tests — when to use what

[AppDevIQ]

This comes up a lot so here's my honest take:

Great Expectations / Soda / dbt tests — run AFTER data is loaded.
Define expectations/contracts on tables in your warehouse. Excellent
for post-load validation, data contracts, and regression testing.

DataScreenIQ — runs BEFORE data is loaded. Screens the payload
at the ingest boundary. Returns PASS/WARN/BLOCK in <10ms.

They're complementary, not competing:

source → DataScreenIQ (pre-load) → warehouse → GE/dbt (post-load)

Use DataScreenIQ when you want to catch bad data before it enters
your system. Use GE/dbt tests to verify data after transformation.

The main difference: DataScreenIQ requires zero infrastructure —
it's an API call. GE/Soda require setup, configuration files,
and access to your data store.

What's your current quality stack? Curious how people are combining
pre-load and post-load checks.