Data skew is not always about row counts.
Snowpark lets engineers run Python, Java or Scala UDFs natively on Snowflake's query engine. At scale, two workers can process the same number of rows while one does far more compute.
DySkew detects that at runtime and redistributes dynamically. No tuning required on your end. Result: ~30% lower P99 UDxF execution time in production, P90 down 27% on large warehouses.
How we built it: