Scale Data Trust with Monte Carlo

Monte Carlo’s Data Observability platform helps your team increase in trust in data by eliminating data downtime. Learn how to build a scalable data platform with data trust in mind with Monte Carlo.

Learn how data-driven teams achieve data trust with end-to-end data observability

  • Sofi
  • Opentable
  • Pepsi Co
  • JetBlue
  • CNN
  • Affirm
  • Fox
  • Shutterstock
  • Payjoy
  • Seatgeek
  • Sonos
  • Toast
  • Weights & Biases
  • HubSpot
  • Mercado Libre
  • Pitney Bowes

End-to-end visibility, automated monitoring, and targeted notifications. All available in minutes, not days.

Detect.

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

See how

Resolve.

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

See how

Prevent.

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

See how

Coverage across your entire data stack

Trusted data teams have trusted data. Monte Carlo monitors and alerts for freshness, volume, and schema changes with automated, out-of-the-box coverage in minutes.

See how

Related resources

2023: The state of data quality

Did you know that bad data impacts 31% of a company’s revenue? And that 74% of data engineers say data quality issues are surfaced first by stakeholders? These stats and more in our recent survey with Wakefield Research.

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3 simple steps for Snowflake cost optimization without getting too crazy.

Snowflake cost optimization efforts need to be right sized. Learn how to get the most savings with investing too much of your team’s time.

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Data testing vs. data quality monitoring vs. data observability: What's right for your team?

In the fight against bad data and broken pipelines, there are a few popular options. But what makes the most sense for your data quality needs? We’ve got the answers.

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