Partners: Snowflake

Data Quality for Snowflake Customers

Scale data trust with your fast-growing business via automated, end-to-end data observability.

Better Together

The Snowflake – Monte Carlo integration makes it easy for data organizations to identify, resolve, and prevent data issues before they impact your downstream stakeholders.

100% table coverage, instantly

100% table coverage, instantly

Get end-to-end data quality coverage for your Snowflake data pipelines with a 20-minute, no-code implementation process.

Trusted data teams

Trusted data teams

Give your teams full visibility into your Snowflake pipelines and how they impact downstream reports and dashboards to make more informed development decisions.

Higher data adoption

Higher data adoption

With greater data trust, Monte Carlo enables teams across your organization to adopt data products powered by Snowflake.

Complete Data Observability for the Data Cloud

Access out-of-the-box visibility into data Freshness, Volume, Distribution, Schema, and Lineage just by plugging Monte Carlo into your Data Cloud.

Know when data breaks, as soon as it happens

Monte Carlo continuously monitors your Snowflake assets and proactively alerts stakeholders to data issues. Monte Carlo’s machine learning-first approach gives data teams broad coverage for common data issues with minimal configuration, and business-context-specific checks layered on top ensure you’re covered at each stage of your data pipeline.

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Know when data breaks, as soon as it happens

Find root cause, fast

Monte Carlo gives teams a single pane of glass to investigate data issues—including automated field-level lineage across your Snowflake pipelines—drastically reducing time to resolution.

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Find root cause, fast

Prevent data downtime

Monte Carlo gives your teams full visibility into your Snowflake pipelines and how they impact downstream reports and dashboards so they can make more informed development decisions.

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Prevent data downtime

Monte Carlo provides Snowflake customers with reliable data across their stack

With Monte Carlo, we are able to reinvest the time developers and database analysts would have spent worrying about updates and Snowflake infrastructure into building exceptional customer experiences.

Adam Woods,

Chief Technology Officer
Reduce data downtime

Reduce data downtime

Snowflake customers, like Choozle, have reduced data downtime by 88% with Monte Carlo.

Read their story
Solve data quality, now

Solve data quality, now

10 critical steps that you need to take to ensure that your Snowflake data is reliable and trustworthy.

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Build a scalable data platform

Build a scalable data platform

Monte Carlo sat down with Snowflake’s Director of Product Management to talk about building data platforms at scale and more.

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Ready to unlock the potential of Snowflake?

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