Validation
Auto-Pass
Valido Features
Built for the way data teams actually work.
Stop treating data quality as a checklist. Start building systems that enforce it. Explore our comprehensive suite of validation, monitoring, and collaboration tools.
Monitoring
Real-time
Root Cause
Instant
Everything your data team needs to ship with confidence
We've organized our platform into six core pillars. Whether you are a solo analyst or a global data organization, Valido scales with your needs. Click any category to jump to the details.
Define Rules
YAML-based or AI-assisted configuration.
Detect Drift
Schema, freshness, and distribution alerts.
Collaborate
Comments, assignments, and shared libraries.
Pillar 01
Validation
Define expectations at the column and table level. Valido supports over 50 validation types, from simple null checks to complex cross-table consistency rules. Our rule engine runs natively in your warehouse, ensuring zero data movement.
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✓Column-level type checks
Automatically enforce data types (e.g., String vs Float) and enforce strict casting rules.
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✓Null rate thresholds
Set acceptable null percentages per column (e.g., < 1% for ID fields).
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✓Referential integrity
Validate foreign key relationships between tables in a single click.
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✓Regex pattern matching
Enforce email formats, SSN compliance, and custom text patterns.
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✓Cross-table consistency
Create business logic rules like "Total Revenue must equal sum of Line Items."
Sum checks
Verify totals across partitions and datasets.
Length limits
Enforce character limits on text fields.
Value sets
Allow only specific permitted values.
Set membership
Check if column values exist in a reference set.
Freshness SLA
Track time-to-update for your pipelines with automated SLA monitoring.
Row Count Trends
Detect unexpected growth or depletion in dataset volume.
Schema Drift
Alert immediately when a new column is added or a type changes.
Partition Checks
Ensure critical date partitions are present and populated.
Pillar 02
Monitoring
Continuous observation is the key to maintaining high data quality. Valido monitors your data continuously, looking for subtle deviations that indicate potential issues before they impact business KPIs.
Proactive vs. Reactive
Most tools are reactive—waiting for you to click "Run" every morning. Valido runs validation on every run, every partition, and every row count change.
Pillar 03
Alerting
Smart routing and fatigue suppression ensure your team only sees what matters. We intelligently route alerts to the right person at the right time, respecting on-call schedules and downtime windows.
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✓Routing: Slack & PagerDuty
Seamlessly integrate with your existing incident response workflows.
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✓Alert Fatigue Suppression
Adaptive baselines learn normal behavior and only alert on significant deviations.
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✓Severity Tiers
Categorize issues by impact (Info, Warning, Critical) with distinct visualizations.
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✓On-Call Awareness
Intelligent scheduling to reduce alerts during weekends, holidays, or maintenance windows.
Multi-channel
Slack, MS Teams, PagerDuty, and Email.
Trend Analysis
See if an issue is worsening over time.
Pillar 04
Reporting
Turn raw quality metrics into executive-ready insights. Share data health scores with stakeholders without explaining "why" the numbers look weird.
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Data Health Scorecards
Automated 0-100% scores for every dataset.
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Executive Summaries
Weekly digests of quality trends.
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Custom Dashboards
Drag-and-drop builder for your team.
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PDF Export
Shareable reports for audits.
Reporting Use Cases
Board Member Reviews
Present a single "Data Health" score alongside financial metrics to demonstrate operational excellence.
Audit Trails
Generate historical reports showing the improvement in data quality over quarters.
Pillar 05
Collaboration
Break down silos between engineering, analytics, and business stakeholders. Valido provides a shared workspace where anomalies can be discussed, assigned, and resolved.
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💬Inline Comments
Add context to specific failed validations right on the dashboard.
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👥Team Assignments
Assign anomalies to specific analysts or owners for accountability.
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📚Shared Rule Library
Centralize governance rules so every team uses the same standards.
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📜Incident Log
A searchable history of data quality issues and their resolutions.
Tagging
Tag anomalies by business unit or data domain.
Ownership
Clear accountability for data quality.
Pillar 06
Integrations
Valido fits into your existing stack without friction. We connect to your warehouses, orchestration tools, and communication platforms out of the box.
500+ Source Connectors
Connect to Snowflake, BigQuery, Databricks, Redshift, PostgreSQL, and more.
Python SDK
Build custom validation rules and workflows programmatically.
dbt Test Sync
One-click sync with dbt test suites and macros.
REST API
Full control over data collection and reporting.
Webhooks
Post validation results directly to Jira, GitHub, or Slack.
Still looking for a feature?
We are constantly evolving Valido based on user feedback. If there's a specific validation rule or integration you need, let us know.