Stop schema drift before it breaks your pipelines
digna Data Schema Tracker continuously monitors your database structure, alerting you to added/removed columns, data type changes, and other modifications—whether intentional or accidental.
How digna Data Schema Tracker Works
Tracks structural changes across your tables, including added or removed columns, renamed fields, and data type changes.
Simply enable tracking on your tables - digna inspects the structure on each scan and flags any deviation from the previous version.
Every schema change is timestamped, attributed, and stored. This makes it easy to trace what has changed and when - essential for auditability in regulated environments.
Use Case: Customer Profiles Schema Changes
Detect and act on structural modifications:
Data Source | Table Name | Change Type | Field Affected | Change detected on | Current Data Type | Previous Data Type |
|---|---|---|---|---|---|---|
crm_platform | customer_profiles | Column Added | loyalty_status | 2025-06-01 12:33:00 | CHAR(1) | - |
crm_platform | customer_profiles | Data Type Changed | signup_date | 2025-06-20 00:00:10 | String | DATE |
crm_platform | customer_profiles | Column Removed | is_subscribed | 2025-07-02 16:33:00 | BOOLEAN |
Outcome: digna flags the removal of is_subscribed (used in 12 downstream reports) and the risky DATE → STRING conversion for signup_date.
