Monte Carlo Pricing Overview

Start

All you need to make data reliable for one team

Scale

Data observability for all your teams and domains

Enterprise

End-to-end coverage for the enterprise

Only pay for what you need. Monte Carlo makes it easy to get started with and scale data reliability at each stage of your company’s growth. You can either pay-as-you-go for full flexibility, or enjoy discounts and predictability by committing to usage: https://www.montecarlodata.com/request-for-pricing/

Monte Carlo has 3 pricing editions. Look at different pricing editions below and see what edition and features meet your budget and needs.

Pricing information for Monte Carlo is supplied by the software provider or retrieved from publicly accessible pricing materials. Final cost negotiations to purchase Monte Carlo must be conducted with the seller.

Pricing information was last updated on October 10, 2024

Pricing Insights

Averages based on real user reviews.

Time to Implement

2 months

Return on Investment

9 months

Average Discount

19%

Perceived Cost

$$$$$

How much does Monte Carlo cost?

Data powered by BetterCloud.

Estimated Price

$$k - $$k

Per Year

Based on data from 6 purchases.

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Monte Carlo Pricing Reviews

(2)

Verified User in Computer Games

Enterprise (> 1000 emp.)

1/25/2025

"I appreciate and value Monte Carlo as a valuable part of Data Governance."

5/5

What do you like best about Monte Carlo?

I like Assets, Table Lineage and Monitors. I use them in my day to day work and it's important part of Data Governance stack in our company. Review collected by and hosted on G2.com.

What do you dislike about Monte Carlo?

I dislike that I have to purchase multiple different integrations separately, for example PostgreSQL and Redshift connector that should be almost the same technically. Also, it is hard ti push any features if you are not Top Tier customer. Review collected by and hosted on G2.com.

Verified User in Hospital & Health Care

Enterprise (> 1000 emp.)

1/20/2025

"Simplifying Data Monitoring with Efficiency"

3.5/5

What do you like best about Monte Carlo?

Monte Carlo is its ease of use and intuitive interface, which makes it simple to monitor data pipelines without requiring a steep learning curve. The ease of implementation was another standout—getting everything up and running was surprisingly quick, and the setup process was well-documented.

Given the tool’s robust number of features, it seamlessly covers everything from detecting anomalies to ensuring data reliability, making it an essential part of my workflow.

I use Monte Carlo on a daily basis, and its ease of integration with my existing data stack has saved me countless hours of manual troubleshooting. Overall, it’s an indispensable tool for anyone focused on maintaining high data quality. Review collected by and hosted on G2.com.

What do you dislike about Monte Carlo?

While I’ve had a positive experience with Monte Carlo overall, there are a couple of areas where I think it could improve. For instance, the user interface could be a bit more streamlined in some sections to make navigation even quicker. Sometimes, certain features or settings are buried within menus, which can add a bit of complexity when you're trying to perform quick tasks.

Additionally, although it integrates well with most of my existing tools, there are a few integration options that could be more flexible for certain tech stacks. The tool works well, but at times, I find myself needing more customization options when connecting to less common databases or systems.

That said, these are relatively minor issues compared to the overall value and reliability the platform offers. Review collected by and hosted on G2.com.