SchemaSentry

SchemaSentry monitors data tables and event streams for silent breaking changes—column drops, type flips, null spikes, unexpected cardinality jumps—and alerts the right owner with a clear diff and impact guess. You connect Snowflake/BigQuery/Postgres and optionally your dbt project; it profiles key models on a schedule and learns baseline patterns. When something shifts, it opens a lightweight incident: what changed, when it started, which downstream models/BI assets are likely affected, and suggested checks to add. It’s not a full observability suite; it’s a focused “schema and contract guardrail” for teams that can’t justify enterprise pricing. AI is used only for readable summaries and suggested tests, not for core detection. Pricing is per monitored dataset/model, aimed at small-to-mid data teams who are tired of being paged after executives notice broken numbers.