Data Observability Features
Everything you need to monitor, validate, and ensure data quality across your organization. Built for small teams who need enterprise-grade capabilities without the complexity.
Start Free TrialMonitors
Track row counts, null rates, freshness, distinct counts, or any custom SQL on a schedule. Pick ML detection (z-score, IQR, moving average) or fixed thresholds per monitor, and let Sparvi raise the issue when a value falls outside what is normal.
- ML or threshold detection
- Row counts, columns, or custom SQL
- Configurable schedules and sensitivity
Segmented Metrics
Any monitor can be segmented by a dimension column, region, product, customer, environment. Every segment gets its own baseline so a drop in one slice never gets averaged away.
- Per-segment baselines and alerts
- Sum, avg, min, or max rollups
- Works with built-in and custom SQL monitors
Data Profiling
Automatically analyze your data to understand structure, quality, and patterns. Get instant visibility into row counts, null rates, distributions, and more.
- Automated statistics collection
- Historical trend tracking
- Zero configuration setup
Anomaly Detection
Anomalies are how Sparvi describes a monitor falling outside its statistical baseline. ML detection looks at history and flags volume drops, distribution shifts, null spikes, and freshness gaps.
- ML-powered detection
- Configurable sensitivity
- Per-segment when monitors are segmented
Schema Monitoring
Never be surprised by schema changes again. Track column additions, removals, type changes, and more across all your tables.
- Real-time change detection
- Full change history
- Impact analysis
Data Validation
Define custom validation rules using SQL. Build comprehensive data quality checks that run automatically and alert when they fail.
- Custom SQL rules
- Automated scheduling
- Failure alerting
More Capabilities
Issue Management
Track and resolve data quality issues with AI-powered suggestions and business impact context.
Data Lineage
Discover data relationships and understand downstream impact when issues occur.
Data Explorer
Navigate schemas, preview data, and understand your data structure at a glance.
Historical Analytics
Track data quality metrics over time with trend analysis and detailed dashboards.
Automated Scheduling
Set up automated profiling and validation runs with flexible scheduling options.
Enterprise Security
MFA, role-based access control, and secure session management for your team.
Ready to improve your data quality?
Join data teams who trust Sparvi to catch data issues before they impact business decisions.