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  • 4.8 / 5.0 (1013)
    25+ References
  • 4.8 / 5.0 (637)
    19+ References
  • 4.8 / 5.0 (1139)
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Monte Carlo Testimonials

  • “We share our dbt code, our data models, our operational content, how we run our data program—all of it is available in our public-facing handbook."

  • “For example, when you’re replicating data from your CRM into Snowflake, your data engineering team is not necessarily going to be the domain experts on CRM or marketing systems. So it’s really hard for us to tailor data quality testing across all of those sources.”

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  • Bigeye
    Reference Rating
    4.8 / 5.0
    Customer References 25 total
    About

    Bigeye is the data reliability engineering platform that helps data teams build trust in data. Data teams use Bigeye to automate their data observability, detect anomalies, accelerate root cause analysis, …

  • Anomalo
    Reference Rating
    4.8 / 5.0
    Customer References 19 total
    About

    Anomalo is a complete data quality platform that automatically detects and explains issues in your enterprise data. Anomalo co-founders Elliot Shmukler, CEO, and Jeremy Stanley, CTO, worked closely together at …

  • Acceldata
    Reference Rating
    4.8 / 5.0
    Customer References 37 total
    About

    Acceldata has created the world's first Data Observability Cloud, helping data-driven enterprises achieve operational excellence, innovation agility, and higher returns on data investment. Modern enterprises increasingly rely on embedded analytics …

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