Maximize your investment
Monte Carlo equips your team with automated field-level lineage to plan incremental field changes or critical migration initiatives.
Prevent
Prevent poor quality data proactively
Critical insights your team needs to improve data products, make better data platform investment decisions, and build greater trust.
Reduce storage & compute spend
Leverage Monte Carlo to understand which fields, tables, and queries are outdated, unused, or inefficient.
Build trust
Monte Carlo’s mission is to help you accelerate the adoption of data products across your business and your customers.
Data reliability insights on-demand
Automated insights help your data team make responsible decisions when changing fields, tables, schema, and more.
Automated field-level lineage
Monte Carlo automatically builds field-level lineage within 24 hours of deployment and continuously updates so changes and modifications to data assets can be made responsibly and proactively.
With Monte Carlo, we know exactly what to update when there’s a change in our data, so there’s no downtime and no fire drills. Our decision makers are happier and I can sleep at night.
Yoav Kamin,
Director of Business Performance
Director of Business Performance
Cleanup and query insights
With end-to-end visibility, Monte Carlo helps your team manage compute and storage costs by letting you know which fields, tables, and queries are unused or inefficient.
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.
Valerie Rogoff,
Director of Analytics Data Architecture
Director of Analytics Data Architecture
Migration blueprint
Leverage automated lineage to understand how data flows, and access insight reports to plan migrations.
I only use 3 tabs at work: Gmail, BigQuery, and Monte Carlo. I never make a change to our data infrastructure without checking Monte Carlo first. That way, I can avoid data disasters before they happen.
Daniel Rimon,
Head of Data Engineering
Head of Data Engineering
Higher data adoption
Whether your team builds internal or consumer-facing data products, Monte Carlo helps reduce data downtime and increase data trust.
…I definitely think the things we were able to do—in terms of data observability and bringing transparency into data operations—improved how we target our audience and channels.
Gopi Krishnamurthy,
Director of Engineering
Director of Engineering
Monte Carlo ensures data reliability through their robust data observability engine. With Monte Carlo, I know that our data pipelines are in working order and my executives and partners can trust our analytics.
ML-powered anomaly detection
Out-of-the-box coverage across all your data tables, opt-in monitors for key assets, and monitors-as-code.
Faster incident resolution
Detection is not enough. Empower your data teams to resolve incidents in minutes, not days.
End-to-end visibility
Use your favorite stack. Get a single view into data health across your data lakes, warehouses, orchestration and BI tools.
