Validio vs Monte Carlo
Monitor real metrics, not just metadata. Validio gives you full control over the data that drives your business.
Observability optimized for business value
Validio is built to not only monitor data pipelines, but also what truly matters: the actual content of your data and the business metrics it powers. While other tools focus on metadata and schema-level checks, Validio enables granular, real-time monitoring of KPIs.
How Validio is different
Business centric
Monitoring of KPIs and actual data
Validio monitors the actual data that drives business outcomes, not just when a table arrives or a schema changes. Define validations for conversion rates, inventory forecasts, or any metric you care about. Segment across business dimensions to alert you only when meaningful anomalies occur.
Collaborative
Make data quality everyone's business
Data quality is a shared responsibility. With Validio, data teams can easily set up observability through the Validio platform, or in code, and business users get alerts when deviations happen.
Fast and scalable
AI-powered for speed and scale
Validio backfills historic data in seconds and use AI to adapting to data patterns instantly. Built in Rust, Validio supports push-down to optimize performance and cost at scale. From day one, you get meaningful results, no waiting for training windows or slow feedback cycles.
See for yourself
| Validio | Monte Carlo | |
|---|---|---|
| Business metric monitoring | Native support for KPI monitoring | |
| Built for collaboration | Not built for business users | |
| Instant backfilling and model adjustment | Backfill historic data in seconds | |
| Advanced anomaly detection | With calendric information and seasonality | |
| Semi-structured data monitoring | ||
| Field-level lineage | ||
| Flexible deployment | Managed or VPC | No VPC deployment |
| End-to-end monitoring | Streams, lakes and warehouses | Data warehouses |
Hear it from our customers
"Before utilizing Validio, we were doing a lot of the work very manually. Now, the time spent on identifying or triaging data quality issues has drastically been reduced."
Albert Obeng
Head of Technology
Get started with data observability
that bring business value