The core functionality is clear, and works Review collected by and hosted on G2.com.

Workspace management is a mess and difficult for admins Review collected by and hosted on G2.com.

The way Monte Carlo surfaces anomalies in data freshness and pipeline behaviour is extremely helpful. It lets our team catch quality issues before they impact downstream users. The custom SQL query alerts are very accurate, and they save me a lot of time by pointing me straight to where things are breaking. Review collected by and hosted on G2.com.

The email alert formatting is restrictive — it’s difficult to insert clean tables or richer layouts for downstream users. More Outlook‑style formatting support would be a big improvement Review collected by and hosted on G2.com.

I really appreciate the monitoring feature in Monte Carlo. It's great because we can write custom alerts and emails that are integrated with Teams, making it really easy to keep our stakeholders informed about any data quality issues or key updates they're looking for. It's really powerful for understanding exceptions in the data, even those that aren't directly failures or major data quality issues, which our team finds very valuable. Review collected by and hosted on G2.com.

It would be great to integrate the alerts and monitoring section more closely. Some of the UI elements could do with improvements. The standard parts in the emails could be adjusted since they always indicate pipeline failure or warning, but sometimes they are just informational. I also wish it could be integrated closer to our data to avoid repeating the same code in various places. Review collected by and hosted on G2.com.

Obervability in Monte Carlo oversees our whole data stack. No disparate solutions for different problems - Monte Carlo is our one stop shop for observability. Review collected by and hosted on G2.com.

There are a LOT of features, it's easy to get overwhelmed at first. Review collected by and hosted on G2.com.

The UI is intuitive, with plenty of pre-built monitors and alerts. The AI-assisted impact analysis and the agent monitor are great additions. Review collected by and hosted on G2.com.

Setup can take a while, since the platform often needs an hour or two to ingest all the information from new integrations. Review collected by and hosted on G2.com.

I like the Slack integration of Monte Carlo, where we get alerted through Slack, which acts as a one-stop shop for checking all the issues. This integration saves a lot of time. The initial setup wasn't that difficult because a Monte Carlo rep walked us through the process and provided a detailed knowledge transfer on how best to use the tool. Review collected by and hosted on G2.com.

Some of the rules are too sensitive, triggering a lot of alerts where we end up taking no action at all. There is room for improvement here. Maybe there should be a correlation between different table alerts, so if there are similar columns in other tables, then their rules should be imported; rather than training the new alert freshly each time. Review collected by and hosted on G2.com.

The new AI agent feature delivers results more quickly. Review collected by and hosted on G2.com.

I only check a few databases, so every day I have to select them manually instead of being able to keep the same ones set consistently. Review collected by and hosted on G2.com.

I use Monte Carlo for setting up alerts if there's any data anomaly in our existing database tables compared to previous trends. I liked the alert system because it supports both time-based and event-based triggers. The monitor section and investigation section are very helpful. A huge benefit is the ability to create alerts based on our custom SQL. Review collected by and hosted on G2.com.

Monte Carlo sets up the alert based on the threshold decided by the past trend of the data, but we can't set any manual threshold for the alert. It should have both the functionality like the alert itself decides the threshold based on previous data trend which it already have and very useful. Another is setting manual threshold for some of the alert which is not present. Review collected by and hosted on G2.com.

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.

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.

I like Monte Carlo for cost monitoring and appreciate how very easy the initial setup was. Review collected by and hosted on G2.com.

I don't like the cost visibility with Monte Carlo, it could definitely be improved. Also, I'm not a fan of the frequent product updates that happen without approvals, these can be quite frustrating. Review collected by and hosted on G2.com.