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.

Steve L.

Data Engineer

Enterprise (> 1000 emp.)

10/30/2023

"Monte Carlo Integration for GCP DWH"

3.5/5

What do you like best about Monte Carlo?

Monte Carlo helps us keep a close eye on our data warehouse. Examples include notifying us of major changes in volume or freshness, which helps us get ahead of potential issues, and table / column lineage, which lets us see the impact of any changes to dependent tables / reports. I'm sure there are other useful features which we haven't explored yet too. Review collected by and hosted on G2.com.

What do you dislike about Monte Carlo?

The cost has increased considerably meaning we've had to monitor less tables to stay in budget. Would like more customisation on notifications as they can be quite verbose and the ability to interact with the notifications in GChat like we used to have in Slack. Maybe a few more options around the Inisght reports would be useful too. Review collected by and hosted on G2.com.