Monte Carlo makes it easy for data organizations powered by AWS Redshift to detect, triage and resolve data downtime and data quality issues before they impact the business, giving companies confidence in the reliability of their data.
Monte Carlo provides automated, AI-powered incident detection and profiling, domain-oriented alerting with impact analysis, accelerated root cause analysis, and rich insights into data health, operational response, cost optimization, and more.
Know When Data Breaks
Know when data breaks, as soon as it happens. Receive and triage alerts via Slack, Teams, JIRA, and other channels you already use.
Build Data Trust
Set and uphold data SLAs. Show quality levels and current health status so your users are never blindsided by bad data.
Understand the Impact & Find the Root Cause
Accelerated root cause analysis capabilities and field-level lineage give your team the context it needs to prioritize issues fast, with visibility into impacted upstream and downstream dependencies.
Know when data breaks, as soon as it happens
Access the power of Monte Carlo’s end-to-end monitoring and data lineage capabilities on AWS Redshift to understand what data matters most to the business and set data quality strategy accordingly.
Find root cause, fast
With Monte Carlo, AWS Redshift, and AWS Glue, together you can find root cause broken dashboards, pipelines, GenAI models and other data products in minutes.
Scale Data Trust
Measure data quality improvements over time with custom score cards, data operations dashboards, and data product management tooling on top of AWS Redshift.
