Warehouse-Native Analytics

Warehouse-native analytics runs product analytics — funnels, cohorts, retention — directly on top of your cloud data warehouse (Snowflake, BigQuery, Databricks) instead of copying event data into a separate vendor's black-box database. Tools like Kubit, NetSpring, and Mitzu query your warehouse in place. The motivation for builders is control and cost: your events already land in the warehouse for finance and data science, so duplicating them into Amplitude or Mixpanel means paying twice, maintaining two pipelines, and reconciling two sources of truth that never quite match. Warehouse-native keeps one governed dataset, lets analytics join product events with billing and CRM tables the packaged tools can't see, and avoids event-volume pricing surprises. Practical note: the trade-off is you own more of the stack — query performance, modeling, and the warehouse bill are yours to tune, and the polished self-serve UX of a mature packaged tool may be ahead. It's a strong fit once the warehouse is already your central source of truth.