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Monte Carlo Reviews & Product Details

Monte Carlo Product Details

Value at a Glance

Averages based on real user reviews.

Time to Implement

2 months

Monte Carlo Media

Monte Carlo Demo - Data Reliability Dashboard
The Data Reliability Dashboard shows several key metrics about your stack, incidents, incident response, user adoption, and uptime. It also helps break metrics out by Domain, so you can see which Domains are high performers and which may be struggling to adopt.
Monte Carlo Demo - Table Health Dashboard
Our newest table health dashboard provides a “real-time” daily view into what’s going on at the table level of your critical assets to help your team identify and address the most critical quality issues each day. Check for the “all green” on your tables to easily understand which table(s) nee...
Monte Carlo Demo - Identify bad data associated with distribution issues
In this example, we can see that a shift in the % of unique values within the invoice_quantity field has changed, along with the values of a column within the table that were most correlated to the non-unique values.
Monte Carlo Demo - Sample of monitor creation
While monitors for Freshness, Volume, and Schema Changes are typically deployed across all tables out of the box, for key tables, you may want to deploy monitors that directly query your data to identify distribution changes. Keep in mind that this monitor uses your data to learn and profiles it ...
Monte Carlo Demo - Identify queries associated with volume changes
Monte Carlo not only measures how your table volumes change over time, but also provides troubleshooting tools to identify where incidents stem from. One of these tools leverages your query metadata to highlight when a particular query may have created an anomaly.
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Monte Carlo Reviews (437)

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Reviews

Monte Carlo Reviews (437)

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4.4
437 reviews

Pros & Cons

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Anushka J.
AJ
Data Engineer
Enterprise (> 1000 emp.)
"Great Experience!"
What do you like best about Monte Carlo?

Monte Carlo makes it easy to catch and resolve data issues before they impact stakeholders. The automated data quality monitoring, lineage visibility, and alerting help us identify root causes quickly. The integration process was smooth, and the UI is intuitive enough that both technical and non-technical users can navigate it with ease. Their customer support team is responsive and genuinely helpful, which makes onboarding and ongoing use even better. Review collected by and hosted on G2.com.

What do you dislike about Monte Carlo?

Sometimes the initial alert volume can be high until fine-tuned, which may feel overwhelming for new users. While integrations are generally strong, a few niche connectors still require manual workarounds. Pricing can also feel steep for smaller teams, though the value is there once implemented. Review collected by and hosted on G2.com.

MT
Quantitative Analyst
Enterprise (> 1000 emp.)
"A tool with potential, but hindered by limitations currently"
What do you like best about Monte Carlo?

Low code/no code monitors on tables, which makes it easy to set up. Custom SQL monitors are also fairly straightforward to set up.

Allows for synergies in cases where multiple teams are using the same table for different models.

Customer support is quick to respond and acts on feedback promptly. Review collected by and hosted on G2.com.

What do you dislike about Monte Carlo?

Investigation tools for errors are very limited or maybe not intuitive

No python support so the type of checks that can be created becomes limited as well.

Lack of transparency for the machine learning thresholds and how each sensitivity level is calculated.

Dashboards not as useful/intuitive compared to something like Salesforce. Review collected by and hosted on G2.com.

Shubham N.
SN
Data Ops Analyst
Enterprise (> 1000 emp.)
"Central tool for jobs observability and data quality"
What do you like best about Monte Carlo?

Features including multiple tool integrations, aggregation of assets based on multipe grouping tactics, out of the box monitors for tables which provides freshness, volume and data availability Review collected by and hosted on G2.com.

What do you dislike about Monte Carlo?

the filter available in performance and assets tab does not work as expected and often shows misleading numbers while filtering based on various tags. Review collected by and hosted on G2.com.

AT
Business Intelligence Developer
Mid-Market (51-1000 emp.)
"Reliable Data Observability Platform with Outstanding Support"
What do you like best about Monte Carlo?

What I like best about Monte Carlo is its ability to proactively detect data issues before they impact our business, combined with an easy-to-use interface that makes monitoring data quality straightforward and efficient. The support team is also very responsive and helpful, which makes implementation and troubleshooting smooth. Review collected by and hosted on G2.com.

What do you dislike about Monte Carlo?

While Monte Carlo offers powerful features, sometimes the initial setup can be a bit complex and may require more detailed documentation or guided onboarding for new users. Also, adding more customizable alert options would enhance its flexibility. Review collected by and hosted on G2.com.

NA
Data Engineer 3
Enterprise (> 1000 emp.)
"Monte Carlo Review"
What do you like best about Monte Carlo?

The flexibility and getting timely and reliable alerts for Volume, Schema and Freshness is useful. Able to tune the model is great. Review collected by and hosted on G2.com.

What do you dislike about Monte Carlo?

Not dislike, but couple of things that can be better:

1) Dashboards can be better in providing more actionable insights like most frequently failing tables or top 5 failing tables, under which schema, failing for what reason, frequently failing monitors, etc

2) It would be great if any updates made on alerts in Monte Carlo can flow into ServiceNow incidents

3) Additional integrations with files would be great, like if a file has not arrived, etc.

4) If we can have the model tuned for alerts much sooner than 2 weeks would be a welcome move. Review collected by and hosted on G2.com.

Thomas H.
TH
Data Engineer
Mid-Market (51-1000 emp.)
"MC is excellent for autonomous asset monitoring"
What do you like best about Monte Carlo?

I like how scalable it is. We have onboarded our first wave of users and they have been able to easily create their own monitors. Our orgs overall trust in our data products has grown significantly. Review collected by and hosted on G2.com.

What do you dislike about Monte Carlo?

Honestly nothing at this time. I think we're still working throwing which assets we NEED to monitor vs which are just "nice to have". Review collected by and hosted on G2.com.

MB
DQ Engineer
Enterprise (> 1000 emp.)
"Smart Data Observability and Quality"
What do you like best about Monte Carlo?

Our Team loves the out of the box monitors in Monte Carlo, they make time to value much shorter and allow the product to start adding value quickly while you work with the Monte Carlo team on more targeted monitoring capabilities. Really can't stress enough how responsive and helpful the support team is. Review collected by and hosted on G2.com.

What do you dislike about Monte Carlo?

We do see some issues with our monitors in Monte Carlo from time to time where we are using them in non-standard use cases, generally these show up as data not matching our expectations within the monitoring results but every time this has come up so far we have been able to get to the bottom of it with help from the support team. Review collected by and hosted on G2.com.

Verified User in Financial Services
UF
Enterprise (> 1000 emp.)
"Monte Carlo Review"
What do you like best about Monte Carlo?

I like that Monte Carlo is intuitive and easy to use, especially for people who come from a non-technical background. I also like that the Monte Carlo team is responsive and there is to help us. Review collected by and hosted on G2.com.

What do you dislike about Monte Carlo?

My biggest frustration with Monte Carlo is that there is no coding wrapper that can be used. It is only out of the box or SQL at this point, so more in depth checks are hard to implement. Review collected by and hosted on G2.com.

Kyle S.
KS
Manager - Lead Data Engineer
Mid-Market (51-1000 emp.)
"A Great Product for any Data Engineering Team"
What do you like best about Monte Carlo?

We've been using Monte Carlo for a couple of years now, and it's become an essential part of our data engineering toolkit. It delivered value almost immediately—helping us uncover data quality issues we didn't even know existed. Between the machine learning-driven anomaly detection, our custom domain-specific monitors, intuitive lineage and query history features, and excellent customer support, Monte Carlo plays a vital role in helping us meet our data quality goals. Review collected by and hosted on G2.com.

What do you dislike about Monte Carlo?

Monte Carlo moves quickly, and while we appreciate the pace of innovation, early on it sometimes felt like there was too much change all at once. Additionally, the platform has a wide range of features—which is a strength—but it can occasionally be challenging to remember where to find some of the more nuanced settings or controls. Review collected by and hosted on G2.com.

Alex K.
AK
Senior Marketing Analyst
Mid-Market (51-1000 emp.)
"A valuable tool for catching data and performance changes proactively"
What do you like best about Monte Carlo?

I like the customization options of the platform best. We have been able to leverage it as a business performance monitoring tool, in addition to data completeness. The possible use cases are numerous. Review collected by and hosted on G2.com.

What do you dislike about Monte Carlo?

The largest downside of using Monte Carlo is the learning curve. It took a decent amount of prompting to get our business team comfortable with setting up alerts and using within our daily flow. The amount of options, while helpful, yielded a slower learning curve. Review collected by and hosted on G2.com.

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 Features
Monitoring
Alerting
Logging
Anomaly identification
Single pane view
Real-time alerts
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