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  3. Monte Carlo
Logo of Monte Carlo

Monte Carlo

byMonte Carlo
in Data Observability Tools
4.7

Overview

Product Information on Monte Carlo

Updated 13th October 2025

What is Monte Carlo?

Monte Carlo is a software designed to assist organizations in managing and improving data observability. The software provides features for monitoring, alerting, and tracking data reliability across modern data stacks. It enables detection of data anomalies, outages, and issues in real time by offering automated monitoring of datasets, pipelines, and data sources. Monte Carlo addresses business problems related to data quality by helping teams quickly identify and resolve data incidents before they impact downstream processes. The software integrates with various data platforms and tools to offer a unified view of data health, supporting analytics, data engineering, and business intelligence functions. Through customizable rules, lineage tracking, and incident management capabilities, the software aims to reduce time spent on investigating data issues and ensures continuous trust in organizational data assets.

Monte Carlo Pricing

Monte Carlo software uses a subscription-based pricing model with tiered plans determined by factors such as data volume and feature requirements. The software offers various editions that are customized based on organizational needs, with pricing typically provided upon request.

Overall experience with Monte Carlo

DATA AND ANALYTICS MANAGER
50M - 250M USD, Services (non-Government)
FAVORABLE

“Automation and User-Friendly Design Enhance Experience”

4.0
Feb 2, 2026
My overall experience with MC is very good. It is super nice that many aspects are automated and it helps my team to easily get to the root cause of a quality issue.
Director of Engineering
250M - 500M USD, Retail
CRITICAL

“Stability and Data Monitoring: Unchanging Yet Reliable Product”

3.0
Oct 29, 2024
It's a good and stable product, helps us monitor ongoing data usage, but we haven't experienced any change or improvements in the last couple of years,

About Company

Company Description

Updated 7th December 2023

DataDowntime is a technology-based company tailored to address the main business issue of data loss and system downtime. Residing on the frontier of the IT industry, DataDowntime offers innovative solutions to prevent and mitigate the damaging effects of unanticipated data processing interruptions. By employing sophisticated technologies, they help businesses to minimize the impact of unplanned outages, ensuring a smooth and continuous operation. The company's key products include a wide range of data recovery tools and system continuity solutions, which play a critical role in various sectors, from IT to logistics, and from healthcare to finance.

Company Details

Updated 30th May 2025
Company type
Private
Year Founded
2019
Head office location
San Francisco, United States
Number of employees
201 - 500
Website
https://www.montecarlodata.com/

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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

Reviewer Insights for: Monte Carlo

Monte Carlo Likes & Dislikes

Like

The level of automation is super nice. Next to this the UI is user friendly so less technical people are also able to use it effectively.

Like

Accuracy, Stability, easy integration with slack,

Like

I like their out of the box monitors especially the freshness and volume monitors and more so during the holiday season when we are under capacity, the monitors help us a lot in identifying anomalies.

Dislike

We are missing some integrations with some of the tools we use. Next to this, the management of enabling/disabling sources to monitor is not automated and can be time consuming.

Dislike

No new relevant features for a long time, Sometimes the alerts pop in a too large delays, not a lot of room to configure in large scale

Dislike

Not a major dislike but I feel they should have a feature request page where existing customers can ask for new features in the product, it will also help us see what new features other customers have requested from them which might help us explore some unexplored features.

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Peer Discussions

Monte Carlo Reviews and Ratings

4.7

(57 Ratings)

Rating Distribution

5 Star
70%
4 Star
26%
3 Star
4%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?

Customer Experience

Evaluation & Contracting

4.4

Integration & Deployment

4.5

Service & Support

4.6

Product Capabilities

4.5

Filter Reviews
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Most helpful
Last 12 Months
Star Rating
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Reviewer's Company Size
Reviewer's Industry
Reviewer's Region
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  • DATA AND ANALYTICS MANAGER
    50M-1B USD
    Services (non-Government)
    Review Source

    Automation and User-Friendly Design Enhance Experience

    4.0
    Feb 2, 2026
    My overall experience with MC is very good. It is super nice that many aspects are automated and it helps my team to easily get to the root cause of a quality issue.
  • Engineer
    1B-10B USD
    Retail
    Review Source

    Unearthing Hidden Data Challenges with a Revolutionary Tool

    5.0
    May 2, 2025
    This tool is incredible, providing instant value right from the start. It has helped us a lot many times when something unexpected with our data has happened which would have gone unnoticed/discovered much later if we weren't using MC.
  • Director, Portfolio Management
    50M-1B USD
    Banking
    Review Source

    Happy end user of a simple solution that keeps our business in check

    5.0
    May 2, 2025
    With any tool, there is an initial learning curve, but the curve was short with this program and I was up and running in just a few minutes.
  • Data Analyst
    50M-1B USD
    Banking
    Review Source

    Monte Carlo's AI Boosts Tables Monitoring Efficiency

    5.0
    May 8, 2025
    Very smooth experience, the Monte Carlo team has embedded themselves into our slack and are readily available to provide support.
  • Senior Data Engineer
    50M-1B USD
    Consumer Goods
    Review Source

    MC: The Essential Tool Delivering Instant Value

    5.0
    May 2, 2025
    This is an amazing tool which offers immediate value straight out of the box. I can't remember a world before a tool like MC.
...
Showing Result 1-5 of 57

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Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.

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