Data Quality for Startups

Data Quality for Startups

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

Prefect
Payjoy
Weights & Biases
Gusto

Data teams choose Monte Carlo

Learn how Clearcover, an automotive insurance leader, increased data quality coverage by 70 percent with Monte Carlo.

Benefits

  • 90 percent increase in data quality coverage

  • Faster incident resolution times

“We no longer had to tailor specific tests to every particular data asset. All we really had to do was sign up, add the security implementation to give Monte Carlo the access that it needed, and we were able to start getting alerted on issues. Monte Carlo gave us that right out of the box.”

Braun Reyes

Senior Manager of Data Engineering

Data Stack

  • Inability to scale data quality testing

  • Wasted hours to days spent debugging data pipeline

  • Lack of visibility into new data stack

  • Out-of-the-box data monitoring and lineage – no implementation required

  • 90 percent reduction in time to detection and resolution for data issues

  • Data reliability that can grow with your business

Benefits

  • 90 percent increase in data quality coverage

  • Faster incident resolution times

  • Inability to scale data quality testing

  • Wasted hours to days spent debugging data pipeline

  • Lack of visibility into new data stack

  • Out-of-the-box data monitoring and lineage – no implementation required

  • 90 percent reduction in time to detection and resolution for data issues

  • Data reliability that can grow with your business

Data Stack

“We no longer had to tailor specific tests to every particular data asset. All we really had to do was sign up, add the security implementation to give Monte Carlo the access that it needed, and we were able to start getting alerted on issues. Monte Carlo gave us that right out of the box.”

Braun Reyes

Senior Manager of Data Engineering

Say good bye to broken dashboards

Achieve stakeholder trust

Be the first to know when data breaks so you can fix before your downstream consumers are affected.

Launch more reliable products

Build and release customer-facing products knowing that the data powering these services is fresh, accurate, and trustworthy.

Save time and resources

Reduce the amount of time and resources you spend firefighting data quality issues with automated, end-to-end coverage across your stack.

Monte Carlo is a very good way for us to understand our data quality at scale.

Trish Pham, Head of Analytics
Hear their story

Monte Carlo had such a tight integration with Snowflake that it just auto-discovers every possible issue with our data. The setup was crazy easy for the coverage we got. I didn’t see any competitors that could serve our needs like Monte Carlo does.

Adam Woods CEO
Read their story

Monte Carlo has been exceptional at catching upstream errors. And being able to tell you that something is amiss and guide your focus with such precision! Pointing not only to the specific table but the lineage that quickly gets you to the root of the error – it’s just absolutely incredible.

Rick Saporta, Head of Data Strategy and Insights

Learn more about how Monte Carlo helps startups trust their data

Detect

Detect

Out-of-the-box coverage across all your data tables, opt-in monitors for key assets, and monitors-as-code.

See how
Resolve

Resolve

Don’t just sound the alarm when data incidents occur. Empower your data teams to resolve incidents in minutes, not days.

See how
Prevent

Prevent

Rich insights enable your team to proactively ensure data quality, and make better infrastructure investment decisions.

See how

Leverage data observability to grow at scale

Request a Demo Product Tour