Verified User in Information Technology and Services
UI
Verified User in Information Technology and Services
Enterprise (> 1000 emp.)
"Comprehensive Data Quality with Easy Setup"
4.5/5
What do you like best about Monte Carlo?

I really appreciate Monte Carlo for its easy-to-navigate UI and the high level of automation it operates with. The best part is that everything is configurable via code. The coverage is amazing, and even though we haven't used it extensively, the data lineage tracking is sometimes very useful and well built. The initial setup was extremely easy, which was a big plus. Review collected by and hosted on G2.com.

What do you dislike about Monte Carlo?

Cost is a big tradeoff, for a tool that wants us to have full 100% coverage for the best possible setup, for larger orgs it's quite expensive due to the pricing structure. Google Bigquery has wildcard sharded tables which when added to be monitored via Monte Carlo acts as a single table, this means when this sharded table has a partition expiry it's treated as a row deletion unfortunately rather than a detected partition expiry. The out of the box ML powered training of the monitors could be refined a little. Sometimes it takes too many iterations to let Monte Carlo know what is normal and what isn't. It's worse when it's the opposite. Review collected by and hosted on G2.com.

Verified User in Sports
AS
Verified User in Sports
Mid-Market (51-1000 emp.)
"Fast Monitor Creation and Smart Anomaly Detection"
4/5
What do you like best about Monte Carlo?

I really enjoy how it allows me to create monitors very fast and the platform has agents to find anomalous towards my tables and data in general. The lineage mapping is also very nice Review collected by and hosted on G2.com.

What do you dislike about Monte Carlo?

I wish the jobs was easier to put in, as if there was a way to dump all my jobs from a certain platform like snowflake or agilitke Review collected by and hosted on G2.com.

Verified User in Sports
US
Verified User in Sports
Mid-Market (51-1000 emp.)
"Real-Time Data Alerts Have Transformed Our Issue Resolution"
4.5/5
What do you like best about Monte Carlo?

Real-time alerts based on data quality were not something previously available to us, and it has significantly improved our awareness of ongoing data issues and allowed us to resolve them. Review collected by and hosted on G2.com.

What do you dislike about Monte Carlo?

UI is not bad, but there could be slight improvements to simplify use cases (ie too may drop down menus and lack of ability to templatize custom alerts). Review collected by and hosted on G2.com.

Verified User in Insurance
AI
Verified User in Insurance
Enterprise (> 1000 emp.)
"Monte Carlo’s Proactive End-to-End Data Observability and Alerting"
4.5/5
What do you like best about Monte Carlo?

Monte Carlo stands out for its strong end‑to‑end data observability and proactive alerting. It gives us early visibility into data freshness, volume, and schema changes before issues reach downstream users Review collected by and hosted on G2.com.

What do you dislike about Monte Carlo?

Some configurations can be complex, especially when tuning alerts to reduce noise in large or fast‑changing environments. It can take time to calibrate monitors so they strike the right balance between sensitivity and relevance. Additionally, advanced features often require deeper onboarding or support, and cost can be a consideration for smaller teams or organizations just starting with data observability. Review collected by and hosted on G2.com.

Verified User in Information Technology and Services
UI
Verified User in Information Technology and Services
Mid-Market (51-1000 emp.)
"Proactively Catches Silent Data Issues and Saves Hours of Troubleshooting"
4/5
What do you like best about Monte Carlo?

The best part is how it proactively catches silent data issues, like schema changes or unexpected volume drops, before my stakeholders even notice. It saves our team hours of manual troubleshooting time. Review collected by and hosted on G2.com.

What do you dislike about Monte Carlo?

The initial setup and fine-tuning of monitors can feel a bit noisy, sometimes leading to alert fatigue if you don't stay on top of the configuration. Review collected by and hosted on G2.com.

Verified User in Airlines/Aviation
IA
Verified User in Airlines/Aviation
Enterprise (> 1000 emp.)
"Business analyst user"
4/5
What do you like best about Monte Carlo?

fairly easy to use and good functionality Review collected by and hosted on G2.com.

What do you dislike about Monte Carlo?

I would prefer being able to customize the email that a user gets when receiving a notification. Review collected by and hosted on G2.com.

Verified User in Information Technology and Services
AI
Verified User in Information Technology and Services
Enterprise (> 1000 emp.)
"Enterprise-Grade Observability Platform"
4.5/5
What do you like best about Monte Carlo?

The out-of-the-box monitors based on ML and the very good UX. Review collected by and hosted on G2.com.

What do you dislike about Monte Carlo?

Sometimes it still launches too many alerts, and it can’t learn trends across multiple months. Review collected by and hosted on G2.com.

Verified User in Entertainment
AE
Verified User in Entertainment
Enterprise (> 1000 emp.)
"One of the Finest Tools for DQ Checks"
4.5/5
What do you like best about Monte Carlo?

One of the finest tools for DQ checks... Review collected by and hosted on G2.com.

What do you dislike about Monte Carlo?

Some areas where navigation and easy ness of the tool Review collected by and hosted on G2.com.

Dima J.
DJ
Dima J.
BI Tech Lead
Enterprise (> 1000 emp.)
"A robust platform for data observeabiltty"
4.5/5
What do you like best about Monte Carlo?

Flexible for adjustment and implementation, good anomalies discovery, custom tests which cover most of our edge cases, pretty intuitive UI, Review collected by and hosted on G2.com.

What do you dislike about Monte Carlo?

The algorithm is not perfect and sometimes raises false alarms continuously. Review collected by and hosted on G2.com.

Verified User in Retail
AR
Verified User in Retail
Mid-Market (51-1000 emp.)
"Rapid Improvements That Keep Pace With the Competition"
5/5
What do you like best about Monte Carlo?

Continuous refinement based on current competition and changes are coming in days and not weeks Review collected by and hosted on G2.com.

What do you dislike about Monte Carlo?

No Australia timing call support. We can have call only at 9 to 10 in the morning. Review collected by and hosted on G2.com.