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Automatically monitor your entire data pipeline

Get instant pipeline health monitoring across your data warehouse and deep machine-learning-powered quality monitoring on the data that matters most.

Stage 1
Pipeline Monitoring

Keep pipelines running smoothly

Instant-on metadata monitoring gives you coverage for row counts, data freshness, and schema changes across every table, in seconds.

Volume
Freshness
Schema changes
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Stage 2
Data quality monitoring

Ensure data is accurate and ready for business

Column-level data profiling, machine learning, and 70+ pre-built metrics come together for deeper monitoring recommendations for your most important data assets.

Data constraints
Completeness
Uniqueness
Numeric distributions
Validity
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Stage 3
Complete customization

Adapt monitoring for custom business use cases

Column-level data profiling, machine learning, and 70+ pre-built metrics come together for deeper monitoring recommendations for your most important data assets.

Referential key integrity
Multi-column checks
Business performance metrics
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Stage 4
Actionable insights

Analyze end-to-end data pipeline health over time

Quickly understand the performance of your data operations over time and spot trends to help prioritize and manage data quality at scale.

Pipeline reliability score
Global data health summary
Real-time data quality analytics
Export to Snowflake Share for additional analysis
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Start your data observability journey

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