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G2 recognized Monte Carlo
Monte Carlo

By Monte Carlo

4.4 out of 5 stars

How would you rate your experience with Monte Carlo?

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Monte Carlo Pros and Cons: Top Advantages and Disadvantages

Quick AI Summary Based on G2 Reviews

Generated from real user reviews

Users find Monte Carlo to have a user-friendly interface that simplifies data monitoring for various teams. (139 mentions)
Users appreciate the intuitive monitoring tools of Monte Carlo, facilitating easy data oversight and custom rule settings. (129 mentions)
Users appreciate the flexible alert system of Monte Carlo, enabling tailored monitoring and quick setup for data changes. (125 mentions)
Users appreciate the flexible alerting system of Monte Carlo, which effectively monitors data and issues timely alerts. (88 mentions)
Users commend the rich features of Monte Carlo, enhancing observability, integrations, and user accessibility across data tools. (80 mentions)
Users appreciate the highly responsive customer support of Monte Carlo, always eager to assist and address queries. (67 mentions)
Users find the machine learning thresholds unreliable, leading to unnecessary alerts and poor visualization of job statuses. (63 mentions)
Users report significant alert overload, finding the UI challenging and visualizations poorly designed for quick issue identification. (63 mentions)
Users find the alert system inefficient, receiving unnecessary notifications and facing challenges in job visualizations. (57 mentions)
Users find the UX improvement needed in Monte Carlo, citing slow report generation and unintuitive permissions management. (54 mentions)
Users find the limited features of Monte Carlo frustrating, especially regarding alert management and user permissions. (45 mentions)

Top Pros or Advantages of Monte Carlo

1. Ease of Use
Users find Monte Carlo to have a user-friendly interface that simplifies data monitoring for various teams.
See 139 mentions

See Related User Reviews

Verified User
U

Verified User

Enterprise (> 1000 emp.)

4.0/5

"Easy-to-use data observability tool"

What do you like about Monte Carlo?

Monte Carlo is very straightforward to use. The UI is very intuitive, and it is very easy to set up and quickly get started monitoring your data. T

Verified User
U

Verified User

Enterprise (> 1000 emp.)

4.0/5

"Great data monitoring tool"

What do you like about Monte Carlo?

I like the flexibility it gives to monitor data and set custom rules via coding

2. Monitoring
Users appreciate the intuitive monitoring tools of Monte Carlo, facilitating easy data oversight and custom rule settings.
See 129 mentions

See Related User Reviews

Verified User
U

Verified User

Enterprise (> 1000 emp.)

4.0/5

"Easy-to-use data observability tool"

What do you like about Monte Carlo?

Monte Carlo is very straightforward to use. The UI is very intuitive, and it is very easy to set up and quickly get started monitoring your data. T

Verified User
U

Verified User

Enterprise (> 1000 emp.)

4.0/5

"Great data monitoring tool"

What do you like about Monte Carlo?

I like the flexibility it gives to monitor data and set custom rules via coding

3. Alerts
Users appreciate the flexible alert system of Monte Carlo, enabling tailored monitoring and quick setup for data changes.
See 125 mentions

See Related User Reviews

Verified User
U

Verified User

Enterprise (> 1000 emp.)

4.0/5

"Excellent tool for both out of the box and custom monitoring"

What do you like about Monte Carlo?

The depth of the types of monitors you can setup on the data is excellent, also with so much done based on ML it ends up being tailored to the data an

Verified User
U

Verified User

Enterprise (> 1000 emp.)

4.0/5

"Great data monitoring tool"

What do you like about Monte Carlo?

I like the flexibility it gives to monitor data and set custom rules via coding

4. Alerting System
Users appreciate the flexible alerting system of Monte Carlo, which effectively monitors data and issues timely alerts.
See 88 mentions

See Related User Reviews

Verified User
U

Verified User

Enterprise (> 1000 emp.)

4.0/5

"Great data monitoring tool"

What do you like about Monte Carlo?

I like the flexibility it gives to monitor data and set custom rules via coding

Joe D.
JD

Joe D.

Mid-Market (51-1000 emp.)

4.5/5

"easy to use, easy to onboard analysts"

What do you like about Monte Carlo?

quick UI for getting alerts up and running

5. Features
Users commend the rich features of Monte Carlo, enhancing observability, integrations, and user accessibility across data tools.
See 80 mentions

See Related User Reviews

Verified User
U

Verified User

Enterprise (> 1000 emp.)

4.0/5

"Easy-to-use data observability tool"

What do you like about Monte Carlo?

Monte Carlo is very straightforward to use. The UI is very intuitive, and it is very easy to set up and quickly get started monitoring your data. T

Lewis O.
LO

Lewis O.

Enterprise (> 1000 emp.)

4.5/5

"Using Monte Carlo as a member of a central data platform team, evangelising data quality"

What do you like about Monte Carlo?

- Wealth of features in MC that not only assist in observability but also in exploring data & lineage of models - It serves as a user-friendly UI

6. Customer Support
Users appreciate the highly responsive customer support of Monte Carlo, always eager to assist and address queries.
See 67 mentions

See Related User Reviews

Verified User
U

Verified User

Enterprise (> 1000 emp.)

4.0/5

"Easy-to-use data observability tool"

What do you like about Monte Carlo?

Monte Carlo is very straightforward to use. The UI is very intuitive, and it is very easy to set up and quickly get started monitoring your data. T

Verified User
U

Verified User

Mid-Market (51-1000 emp.)

4.0/5

"A game changer in data quality"

What do you like about Monte Carlo?

Monte Carlo gives us peace of mind when it comes to the quality of our data. It has been instrumental in standing up a data quality initiative, and ha

Top Cons or Disadvantages of Monte Carlo

1. Alert Management
Users find the machine learning thresholds unreliable, leading to unnecessary alerts and poor visualization of job statuses.
See 63 mentions

See Related User Reviews

Simonas L.
SL

Simonas L.

Mid-Market (51-1000 emp.)

3.5/5

"Good for monitoring and table lineage"

What do you dislike about Monte Carlo?

Alerts via slack/teams could be a bit nicer. Table or field lineage could be more human friendly: in example if I asked how did this column got calcul

Verified User
U

Verified User

Enterprise (> 1000 emp.)

4.0/5

"It has good features but not anything espetacular"

What do you dislike about Monte Carlo?

There are other ways we can use to to receive alerts and I would say that you need more stuff to differentiate yourself. I dislike the assets search

2. Alert Overload
Users report significant alert overload, finding the UI challenging and visualizations poorly designed for quick issue identification.
See 63 mentions

See Related User Reviews

Simonas L.
SL

Simonas L.

Mid-Market (51-1000 emp.)

3.5/5

"Good for monitoring and table lineage"

What do you dislike about Monte Carlo?

Alerts via slack/teams could be a bit nicer. Table or field lineage could be more human friendly: in example if I asked how did this column got calcul

Verified User
U

Verified User

Enterprise (> 1000 emp.)

4.0/5

"It has good features but not anything espetacular"

What do you dislike about Monte Carlo?

There are other ways we can use to to receive alerts and I would say that you need more stuff to differentiate yourself. I dislike the assets search

3. Inefficient Alert System
Users find the alert system inefficient, receiving unnecessary notifications and facing challenges in job visualizations.
See 57 mentions

See Related User Reviews

Simonas L.
SL

Simonas L.

Mid-Market (51-1000 emp.)

3.5/5

"Good for monitoring and table lineage"

What do you dislike about Monte Carlo?

Alerts via slack/teams could be a bit nicer. Table or field lineage could be more human friendly: in example if I asked how did this column got calcul

Verified User
U

Verified User

Enterprise (> 1000 emp.)

4.0/5

"It has good features but not anything espetacular"

What do you dislike about Monte Carlo?

There are other ways we can use to to receive alerts and I would say that you need more stuff to differentiate yourself. I dislike the assets search

4. UX Improvement
Users find the UX improvement needed in Monte Carlo, citing slow report generation and unintuitive permissions management.
See 54 mentions

See Related User Reviews

Verified User
U

Verified User

Mid-Market (51-1000 emp.)

3.5/5

"Useful, but interface sometimes unintuitive to navigate and permissions a pain"

What do you dislike about Monte Carlo?

UI can be unintuitive when making new alerts or changing them or even just trying to change calendar view of different alerts. Also permissions hard t

DW

Danisin W.

Mid-Market (51-1000 emp.)

4.5/5

"The GO TO tool for Data Observability"

What do you dislike about Monte Carlo?

The tool has great potential, but its current approach to user permissions is holding it back. Right now, managing roles feels like navigating a maze

5. Limited Features
Users find the limited features of Monte Carlo frustrating, especially regarding alert management and user permissions.
See 45 mentions

See Related User Reviews

Verified User
U

Verified User

Mid-Market (51-1000 emp.)

3.5/5

"Useful, but interface sometimes unintuitive to navigate and permissions a pain"

What do you dislike about Monte Carlo?

UI can be unintuitive when making new alerts or changing them or even just trying to change calendar view of different alerts. Also permissions hard t

Verified User
U

Verified User

Enterprise (> 1000 emp.)

4.0/5

"Easy to use with a wide selection of useful defaults"

What do you dislike about Monte Carlo?

The limitation on number of values we can segment a query by.

Monte Carlo Reviews (437)

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Reviews

Monte Carlo Reviews (437)

View 1 Video Reviews
4.4
437 reviews
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Lukasz W.
LW
Data Engineer
Enterprise (> 1000 emp.)
"Data quality checks"
What do you like best about Monte Carlo?

The montecarlo is giving me a lot of posibilities in terms of data quality. I can setup the notifications, create a groups of people and send them a notification if something failes Review collected by and hosted on G2.com.

What do you dislike about Monte Carlo?

As the user of google chat I'm realy anoyed that I need to use emails. For me the best way for alerts will be a direct message to a google chat group. The best way will be use the webhooks that google is providing Review collected by and hosted on G2.com.

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.

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