Data Quality Monitoring · Founded 2025

Velum

Observes your query traffic, learns semantic definitions, and enforces them through pull requests. Stop debugging metric drift. Start shipping contracts.

Cost

Demo

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use Velum to monitor your data warehouse for quality issues, automatically trace problems to their root cause, and fix them before they impact business decisions. It watches query traffic patterns, detects when numbers don't match between teams, and creates data contracts to prevent the same issues from happening again. The tool integrates with your existing data stack including Snowflake, BigQuery, dbt, and BI tools to provide continuous data quality monitoring and automated remediation.

What Velum does

Monitor database queries for anomalous patterns and resultsTrace data lineage from dashboards back to source tablesGenerate pull requests with proposed data quality fixesCreate automated data validation rules from production trafficAlert teams when metric definitions start divergingMap dependencies between data sources and consuming applicationsAnalyze query performance and data distribution changesDeploy data contracts through continuous integration workflowsAutomatically detects when teams get different results for the same metricTraces data discrepancies through complete query lineage in real-timeGenerates and deploys fixes through existing git workflowsCreates enforceable data contracts from actual production issuesMonitors query patterns and value distributions continuouslyBuilds dependency graphs from live production trafficProposes unified data definitions when conflicts are foundIntegrates with existing data stack without requiring migration

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