Never Be Blindsided by Schema Changes
Track column additions, removals, type changes, and more across all your tables. Know about changes as they happen, not when your pipelines break.
Complete Schema Change Detection
Sparvi tracks every type of schema modification across your entire data warehouse.
Column Additions
Detect when new columns are added to tables. Know about new data available for your analytics before you miss it.
Column Removals
Get alerted when columns are dropped. Update dependent queries before they fail in production.
Type Changes
Track data type modifications. Catch precision changes and type conversions that could affect calculations.
Column Renames
Detect when columns are renamed. Update all references before SELECT statements fail.
Nullable Changes
Know when constraints change. Add null handling before new nulls cause issues downstream.
Table Changes
Track table creation and deletion. Maintain awareness of your entire data landscape as it evolves.
Schema Changes Break Things
Unexpected schema changes are one of the most common causes of data pipeline failures. Without monitoring, you discover them when:
- ✗Your ETL job fails at 3am with a cryptic error
- ✗A dashboard shows blanks where data should be
- ✗Calculations are wrong because a type changed
- ✗A stakeholder asks why a report looks different
With Sparvi Schema Monitoring
- ✓Get Slack alerts the moment schemas change
- ✓See exactly what changed: old value vs new value
- ✓Review full schema history for any table
- ✓Update downstream processes proactively
- ✓Coordinate with upstream teams before issues occur
Why Teams Choose Sparvi for Schema Monitoring
Automatic Detection
No manual configuration needed. Sparvi automatically tracks schema changes across all your tables.
Full History
See the complete history of schema changes for any table. Know when a column was added, changed, or removed.
Instant Alerts
Get notified via Slack, email, or PagerDuty the moment schemas change. Never be caught off guard.
Change Details
See exactly what changed—before and after values, timestamps, and which tables were affected.
Impact Analysis
Combined with data lineage, understand which downstream tables and reports might be affected by changes.
Issue Integration
Schema changes automatically create trackable issues so your team can coordinate responses.
Frequently Asked Questions
What is schema monitoring?
Schema monitoring is the practice of tracking changes to database table structures over time. This includes detecting when columns are added or removed, data types change, tables are created or dropped, and constraints are modified.
Why is schema monitoring important for data quality?
Schema changes are a leading cause of data pipeline failures. When upstream tables change without warning, downstream transformations, reports, and applications can break. Schema monitoring provides early warning so teams can adapt before failures occur.
How often does Sparvi check for schema changes?
Sparvi checks for schema changes as part of its regular profiling runs. You can configure the frequency based on your needs—hourly, daily, or on a custom schedule that fits your workflow.
Can I see the history of schema changes?
Yes. Sparvi maintains a complete history of all schema changes detected. You can view when columns were added, what their original types were, and track the evolution of your table structures over time.
Stop Discovering Schema Changes After They Break Things
Get proactive schema monitoring that alerts you to changes as they happen.
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