Anomaly detection
Pipeline health coverage across all your production tables and data quality monitors for your most critical assets.
Cloud infrastructure cost management
Infrastructure cost management
Data health insights you need to manage and reduce storage and compute costs
That’s the beauty of Monte Carlo because it allows us to see who is using data and where it is being consumed. This has allowed us to actually free up some of our processing time from unused data elements which were no longer relevant.
Optimize data storage and compute
With end-to-end observability, Monte Carlo equips your team with automated circuit breakers to avoid costly backfill costs, and on-demand data health insights to optimize storage and compute.
Avoid costly data backfills
Automatically stop Airflow DAGs and other transformation jobs as soon as an error occurs with Monte Carlo’s circuit breakers.
Reduce compute costs
Monte Carlo automatically identifies high consumption and deteriorating queries to help your team reduce your compute bill.
Optimize data warehouse storage
Identify and sunset unused data tables to reduce your warehouse storage costs.
End-to-end data observability
Monte Carlo enables data teams to ensure reliable data and accelerate the adoption of data; learn more about data observability platforms:
Incident resolution
Automated troubleshooting to resolve data incidents and anomalies as soon as they occur.
Proactive data reliability
Data health insights enable your team to proactively ensure data quality, and make better infrastructure investment decisions.
