I like how Monte Carlo brings data quality insights to the people who can fix them, the users of the data sources. I also find the ML thresholds helpful because they let Monte Carlo handle the error alerts, so the data platform team doesn't have to create the error thresholds manually. The integration with Slack is another plus, as it offers a centralized place for alerts and makes it easy to send them to the right stakeholders. Monte Carlo is easy to use, even though I didn't handle the initial setup. Review collected by and hosted on G2.com.

I'm having challenges with integrating Monte Carlo with AI agents. It would be great if AI agents could interact more seamlessly with Monte Carlo. Review collected by and hosted on G2.com.

I like Monte Carlo for its AI features that automatically handle the creation of boundaries when you select a source to be monitored. The automatic monitoring of schema changes, metric changes, and freshness is also great. I appreciate its integration with Slack, enabling the creation of automated workflows and keeping everyone informed proactively. The AI feature and automatic monitoring save a lot of time by eliminating the need to manually think about boundaries or constantly check for schema changes. Setting up the system was very easy, as all systems were connected quickly through admin accounts, taking less than a day. Review collected by and hosted on G2.com.

The main thing I don't like about Monte Carlo is how you need to select tables. We're really careful about what tables and sources we want to monitor, and that takes quite a lot of time. It's not super easy to navigate and select or deselect tables from a schema. That could be improved in my opinion. Review collected by and hosted on G2.com.

The Ease of Use and Operations agents, along with the Monitor agents, make monitor setup much easier and more straightforward. The Troubleshoot agent is especially valuable for root cause analysis (RCA) when issues come up. I also like the integration with multiple connectors like Data360 and AI. Review collected by and hosted on G2.com.

For retrieving failure records for that particular monitor currently users should be dependent on UI. metadata such as pass/fail status, including these details in data exports would enable the creation of more custom dashboards. better integration with data360 new objects types + informatica/mulesoft connectors Review collected by and hosted on G2.com.

I use Monte Carlo mainly for monitoring data quality and reliability across our data pipelines. I like that it helps us quickly detect anomalies, broken tables, or unexpected changes before they impact downstream analytics. I really appreciate the automated data monitoring and alerting—it surfaces issues without requiring constant manual checks. The visibility into data lineage and pipeline health makes debugging much faster. It integrates smoothly with existing data tools, making adoption easier for the team. The automated monitoring and alerting help me catch data anomalies quickly, fixing issues before they affect dashboards or business decisions. The data lineage feature is especially valuable because it shows how datasets are connected, making it easier to trace the root cause of a problem. Together, these features save a lot of troubleshooting time and improve overall confidence in our data. Review collected by and hosted on G2.com.

Sometimes the alerts can feel a bit noisy, especially when multiple related issues trigger at once, so better alert tuning or grouping would help. The initial setup and configuration also took some time to fully understand. Improving customization and making onboarding a bit more intuitive would make the experience even smoother. Review collected by and hosted on G2.com.

The core functionality is very helpful: it lets me monitor dataset health at large scale. Review collected by and hosted on G2.com.

The UI experience. It is difficult to navigate Review collected by and hosted on G2.com.

Onboarding was made very east, ui and indepth source to target lineage, and ability to deep dive problems with ai Review collected by and hosted on G2.com.

Non ability to export the meta data gathered from analyzing our system, still early days but a better way to make the notifications feel meaningful versus something that's glazed over, seems to miss complete lineage in Tableau Review collected by and hosted on G2.com.

It detects data anomalies with ease and efficiently. Review collected by and hosted on G2.com.

It could offer more features, and at times it feels a bit too complex for someone who’s new to it. Also, it seems like there are fewer options for what actions you can take when an alert comes up. Review collected by and hosted on G2.com.

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.

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.

5) Conducting any workshops on a sandbox environment for teams would help engage more teammates to understand and gets on with Monte Carlo Review collected by and hosted on G2.com.

Monte Carlo’s biggest strength is proactive data observability, it catches data issues early, before they hit dashboards or business decisions. Review collected by and hosted on G2.com.

It can feel overly expensive and exclusive, which makes it less welcoming for ordinary travelers. Review collected by and hosted on G2.com.

I like Monte Carlo's approach and its ability to configure and see a full lineage within my BI stack. It's pretty neat that I can configure one post that will be automatic or set up monitors that are fully configurable by me and my team. I also appreciate how it seamlessly connects with my other orchestration stores. The initial setup was pretty easy and straightforward, which is a big plus. Review collected by and hosted on G2.com.

pricing is a bit high Review collected by and hosted on G2.com.