Detect, alert, and respond to schema changes the moment they happen — before a surprise change crashes your pipelines or corrupts your reports.
One renamed column in an upstream system can break a dozen downstream pipelines. One changed data type can cause days of firefighting. Most data teams learn about schema changes when something breaks — often in production.
Schema Monitor gives you eyes on every schema change across every source, warehouse, and transformation layer. It tracks changes in real-time, maps downstream impacts automatically, and alerts the right people before a single pipeline fails.
Stop firefighting and start governing. Schema Monitor turns reactive chaos into proactive control.
Schema Monitor automatically scans your data sources, warehouses, and pipelines to detect column adds, renames, type changes, and deletions.
When a change is detected, the system traces its lineage to identify every downstream asset that depends on the changed schema.
Team members receive alerts via Slack, email, or in-platform notifications — before the change causes a failure.
Continuously scan for schema changes across all connected systems.
Identify schemas that have drifted from their documented or expected state.
Get notified via Slack, email, or webhooks when critical changes occur.
Track full change history for every table and dataset across all systems.
See every pipeline, report, and dashboard affected by a schema change.
Enforce approval gates for high-risk schema changes before they propagate.
Stop getting paged at 3am because an upstream schema changed without warning.
Know when a source table schema changes so you can update dbt models proactively.
Gain visibility into every schema across every environment — dev, staging, prod.
Get alerts when source schemas change before reports start returning incorrect data.
surprise schema failures — know about changes before they break production
incident response — see the full blast radius instantly instead of debugging for hours
data outages — catch issues in dev or staging before they hit production
change governance — enforce approval workflows for high-risk schema modifications