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Monte Carlo

SaaS

Data observability platform that watches data pipelines and warehouses to detect broken pipelines and data quality problems before they reach users.

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montecarlo.ai
Monte Carlo homepage screenshot

About Monte Carlo

Monte Carlo is a commercial data observability platform. It monitors data pipelines and warehouses to catch broken loads, stale tables and other data quality issues, so that data teams find problems before dashboards and downstream users are affected.

The vendor's website could not be read when this entry was prepared, so the description stays at the category level. Monte Carlo is a hosted, proprietary product, and pricing details are published by the vendor on its own pricing page.

Key features

  • Detection of broken data pipelines
  • Monitoring of data quality issues
  • Alerts for data teams
  • Commercial hosted platform

Good fit for

  • →Catching data incidents before users do
Tags
data-observability
data-quality
monitoring
data-pipelines
alerting
data-engineering

Monte Carlo: questions and answers

What is Monte Carlo used for?
Monte Carlo is a data observability platform that watches data pipelines and warehouses to detect broken pipelines and data quality problems before they reach users. It is a good fit for catching data incidents before users do.
How much does Monte Carlo cost?
Monte Carlo doesn't publish fixed prices; pricing is quoted on request.
Is Monte Carlo open source?
No. Monte Carlo is proprietary (closed-source) software. In the Data Pipelines & ETL category, open-source options include Airflow, Prefect and Airbyte.
What are some alternatives to Monte Carlo?
Monte Carlo competes with Bigeye, Datafold and Collibra.

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