Schema Validation
Automatically detect when columns are added, removed, or altered. Valido compares your current schema against historical baselines to catch breaking changes in dbt models or raw tables instantly.
The Complete Data Quality Suite
One platform.
One platform.
Every data quality problem solved.
From schema drift and freshness gaps to statistical anomalies and lineage confusion, Valido validates every layer of your stack. Stop guessing what’s broken and start fixing it.
Core Capabilities
Five layers of validation, one unified view
Stop treating data quality as a set of isolated checks. Valido provides a holistic view that covers everything from the structure of your tables to the behavior of your metrics.
Freshness Monitoring
Know exactly when your data is late. Set granular expectations for source freshness and downstream model completion, ensuring your dashboards never display stale numbers.
Statistical Anomaly Detection
Go beyond rule-based checks. Our AI learns the "normal" distribution of your metrics and flags unexpected spikes, drops, or outliers that could indicate a data generation error.
Lineage Mapping
Visualize exactly how data flows from your source systems to your BI tools. When a table breaks, Valido traces the lineage to pinpoint the upstream culprit without manual SQL digging.
Custom Rule Engine
Need to check for specific business logic? Write custom SQL assertions or use our visual builder to enforce business rules that standard observability tools don't cover.
How it works
The Valido Architecture
Lightweight Agent
→
Runs in your warehouse
Valido Cloud
→
Inference & Analytics
Alert Routing
→
Slack, PagerDuty, Email
BI Tools
Looker, Tableau, Mode
Built for the Modern Data Stack
Data Warehouses
Snowflake, BigQuery, Databricks, Redshift, DuckDB
Transformation
dbt Core & Cloud, Spark, Airflow, Dagster
ETL & ELT
Fivetran, Airbyte, Stitch, dbt Cloud
Visualization
Looker, Tableau, PowerBI, Metabase
Operations
Slack, PagerDuty, Linear, Opsgenie
Workflow Comparison
The old way vs. Valido
Manual Data QA
1. Someone notices a metric looks wrong.
2. Manual SQL query to check the source.
3. Check dbt logs for failures.
4. Guess the upstream cause.
5. Fix manually.
6. Hope it doesn't happen again.
Valido-Enabled
1. Valido detects a statistical anomaly.
2. Alert fires in Slack with context.
3. Root-cause analysis links the table.
4. Validation rule highlights the failing test.
5. Team deploys a fix.
6. Valido confirms the fix.
Secure by Design
SOC 2 Type II Certified
GDPR Compliant
HIPAA Ready
Data Residency
Trusted by engineering teams
Acme Logistics
"Valido cut our data incident response time by 80%. We know exactly which trucking route is causing the delay before the CFO even asks."
— Sarah Jenkins, Lead Data Engineer
Ready to validate every layer?
See the full list of features, including ML-based pattern matching and custom business logic checks.
Stop the guessing game.
Start your free 14-day trial. No credit card required. Connect your warehouse in minutes.