Promote trust and
reduce runtime costs
Compute-heavy pipelines are expensive. Save time, reduce costs, and meet your SLAs by optimizing your runtime with data + AI observability.
Tools to optimize your pipelines

Gantt views to visiualize—and identify—long-running queries.

BI-level lineage to trace bottlenecks to the source.

Advanced filters and alerts so you’re the first to know about runtime issues.
What our customers say
Monte Carlo is the only solution battle-tested in 100s of production environments
Quickly investigate increasing costs
Bloated pipelines can be just as expensive as broken ones. Identify jobs that are driving up costs to comprehensively improve performance and promote ROI.
- Get alerted when query costs or credit usage goes up.
- Drill in to see correlations with rows added, partitions/cache scanned, and more.
Identify and remediate pipeline bottlenecks
Need to optimize your pipelines? Explore multiple views to see which queries are creating bottlenecks for your Airflow and dbt DAGs—and triage jobs that are slowing your queues.
Build trust with faster data + AI products
A product that doesn’t load is a product that doesn’t drive stakeholder value. Promote adoption and build trust by guaranteeing performance for critical assets.
- Create and uphold performance SLAs.
- Filter queries related to specific DAGs, users, dbt models, warehouses, datasets and more.
Get started fast—scale faster.
Fast setup—even faster time to value. Connect to Monte Carlo in seconds, start monitoring out of the box and automatically scale with your environment.
