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

20%

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 Food & Beverages

Enterprise (> 1000 emp.)

1/30/2025

"Great tool and concept; needs some added functionality"

3.5/5

What do you like best about Monte Carlo?

I think Monte Carlo is a great way to monitor data issues and I love the "built-in" freshness/volume anomaly monitors on any tables added to Monte Carlo. Review collected by and hosted on G2.com.

What do you dislike about Monte Carlo?

We are using the Monte Carlo product to monitor our BigQuery tables. I have chatted with Monte Carlo support about this before and put in a ticket; but it would be great if we were able to set variables within Monte Carlo monitors (we wanted to use a list within the monitor in order to take advantage of partitioning in BigQuery, as BigQuery does not support dynamic partitioning and thus a CTE would not use partitioning correctly).

Scenario:

Using a list within a Monte Carlo monitor results in failure. The MC monitor simply takes the first output written in the monitor (the result of setting the list) and considers that as the monitor. The rest of the code in the monitor (after the list is set) is not considered.

You can see the ticket or contact me for additional details/explanation.

Additionally, I think it would be useful if there were more automated monitors (for example, you could set up an automated monitor so that for ANY anomalous value in the table, the monitor is triggered). Review collected by and hosted on G2.com.