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Detect

Be the first to know when data breaks

End-to-end visibility, automated monitoring, and targeted notifications. All available in minutes.

Detect data anomalies faster with monte carlo

The Monte Carlo Method

End-to-end coverage, instantly

End-to-end coverage, instantly

Monte Carlo can be deployed in minutes, and immediately notifies specific data team owners as soon as data incidents occur.

Trusted data teams

Trusted data teams

In addition to data team owners, Monte Carlo notifies downstream users when data issues occur to prevent the use of critical dashboards until an incident is resolved.

Secure & efficient deployments

Secure & efficient deployments

Monte Carlo is SOC 2 Type 2 certified and monitors data at-rest, limiting compute cost by extracting only metadata, query logs, and aggregated statistics.

Out-of-the-box data monitoring

Monitoring and anomaly detection across your modern data stack + targeted notifications make for more productive and relaxed data teams.

End-to-end visibility

Monte Carlo is deployed using no-code implementation and pre-built integrations across your cloud-native data stack, allowing for setup in 20 minutes with complete field lineage mapping within 24 hours. It’s that fast, but don’t just take our word for it.

Explore our integrations

Within minutes of deploying Monte Carlo, my team was up and running, and we had full visibility into our data pipelines, from ingestion in BigQuery to analytics in our Looker dashboards.

Rick Saporta,
Head of Data Strategy and Insights
End-to-end visibility

ML-powered anomaly detection

Monte Carlo’s machine learning-powered anomaly detection automatically establishes a baseline to evaluate freshness, distribution, volume, and schema changes within 2 weeks— without configuring or thresholding.

Learn more

Within minutes, we were up and running with Monte Carlo and within days, the platform was uncovering critical schema and pipeline changes that would have impacted the business if left undetected.

Matt Frazier,
Chief Analytics Officer
ML-powered anomaly detection

Opt-in monitors

For key data assets, your team can create additional opt-in monitors ​​field health, dimension tracking, and JSON schema with just a few clicks, or deploy monitors-as-code with SQL rules and custom SLIs.

Check out our docs

We wanted something that would effectively get this off the ground and running without us having to put in that effort. The schema, volume, and freshness checks that Monte Carlo offers delivers on that.

Edward Kent,
Principal Developer
Opt-in monitors

Targeted notifications

Related data issues are automatically grouped into a single notification to limit noise, and your team can control who is notified, including data team owners and downstream BI dashboard users, in the channel of their choice.

Explore our integrations

Monte Carlo’s monitoring feed to Slack gives me comfort that our data is healthy and everything’s working as designed. If something goes wrong, I know we’ll be the first to know and solve.

Suvayan Roy,
Senior Product Manager
Targeted notifications

What Monte Carlo did, which was amazing in my mind…and basically without me setting up anything, they started listening and building anomaly detection and freshness metrics to all the tables and data sets that we have…suddenly I’m aware of problems I wasn’t aware of at all.

Lior Solomon, VP of Engineering, Data
Read their story
Faster incident resolution

Faster incident resolution

Detection is not enough. Empower your data teams to resolve data incidents in minutes, not days.

Resolve
End-to-end visibility

End-to-end visibility

Use your favorite stack. Get a single view into data health across your data lakes, warehouses, orchestration and BI tools.

Integrations
Time-to-detection in minutes

Time-to-detection in minutes

Customers like Choozle have reduced time-to-detection from days to minutes.

Learn how

Ready to say goodbye to 5am data fire drills?

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