Monte Carlo Data Observability Platform
Monte Carlo DataReviews from AWS customer
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Nice tool with easy api access for developers
What do you like best about the product?
Freshness, volume and validation checks are helpful for users. It has sufficient api's for developers to use Monitor as code. Building dashboards are helpful.
What do you dislike about the product?
Completeness checks need to be improved. Alerts with new message after creating incidents is not currently supported. Some of the search option for filters in the UI for assets doesn't work often
What problems is the product solving and how is that benefiting you?
Custom monitors are really helpful in finding issues. Freshness monitors detects for any failed data arrival or dag failures. Slack alerts are easy to configure and can be routed to actual team responsible for alerts
An Amazing data observability tool to add to your data ecosystem
What do you like best about the product?
Monte Carlo is incredible, providing instant value right from the start. We heavily rely on their out-of-the-box monitors, especially the frequency and volume monitors. These monitors have helped us catch numerous unexpected data anomalies that would have otherwise gone unnoticed or been discovered much later. Another great aspect of Monte Carlo is their customer service; they are highly accessible, and their response time is very quick, which helps us resolve issues faster. We have bi-weekly sessions with them where we discuss recent data mishaps and explore ways to improve. Another great aspect is that Monte Carlo continually evolves their product with new services and stays up-to-date with the latest data innovations.
What do you dislike about the product?
There isn't particularly anything that we dislike about Monte Carlo. However, I think it would be beneficial if they had a feature request page where customers could submit new feature ideas. Additionally, being able to see what new features other customers have requested could help us explore some unexplored areas of the product and utilise its full potential.
What problems is the product solving and how is that benefiting you?
Monte Carlo effectively addresses several key challenges for us. Their out-of-the-box monitors, particularly the frequency and volume monitors, are invaluable in detecting data anomalies early on. This proactive alerting has prevented potential issues, such as data bloating due to duplicates, which could have led to significant costs if left unchecked. Although alert fatigue can occur, the ability to exclude certain datasets from monitoring has helped mitigate this issue. Overall, Monte Carlo's solutions enhance our data management and operational efficiency
Montecarlo recommendation
What do you like best about the product?
Good Anamoly detection methods,easy to setup,get alerted on slack abd pagerduty on data anamolies.
What do you dislike about the product?
Detail drill down or links that could help to find the Root cause.
What problems is the product solving and how is that benefiting you?
Easy and early detection of data anamloies in the lower environments which will help to mitigate the issues in production
Useful data checks
What do you like best about the product?
- Variety of check types
- Intuitive UI
- Option to build monitors as a code
- Intuitive UI
- Option to build monitors as a code
What do you dislike about the product?
- Notifications cannot be customized
- Custom metrics cannot be scheduled via cron
- Custom metrics cannot be scheduled via cron
What problems is the product solving and how is that benefiting you?
Automation of data quality checks to have a better visibility of data issues if any.
Interesting product but needs a lot improve
What do you like best about the product?
1. The result visualization is useful.
2. The customized query is super helpful when we need to design some complicated alerts.
3. The yaml generation function in UI is also helpful so we can make sure the new code can always be in the correct new format.
2. The customized query is super helpful when we need to design some complicated alerts.
3. The yaml generation function in UI is also helpful so we can make sure the new code can always be in the correct new format.
What do you dislike about the product?
1. ML thresholds do not work well. We are missing lots of important alerts, just because the thresholds go really wide and we are not aware of the issue at all.
2. The MaC keeps on changing, the definition, the structure, the scope, everything keeps on changing frequently, we have to keep on changing our code, which is super annoying.
3. Why do you decide to remove the freshness monitor from MaC and have to let us manually add in a weird other notification place? I do not get the design now. It makes things chaotic.
4. Sometimes dry run passed but after merging the PR, the apply fails. I feel there are some inconsistency there and it is really confusing.
2. The MaC keeps on changing, the definition, the structure, the scope, everything keeps on changing frequently, we have to keep on changing our code, which is super annoying.
3. Why do you decide to remove the freshness monitor from MaC and have to let us manually add in a weird other notification place? I do not get the design now. It makes things chaotic.
4. Sometimes dry run passed but after merging the PR, the apply fails. I feel there are some inconsistency there and it is really confusing.
What problems is the product solving and how is that benefiting you?
We are able to keep on monitoring some important BQ tables.
Montecarlo feedback
What do you like best about the product?
Ease of Use and the table/field lineage is very helpful along with the refresh time, alerts, row change and lot of areas were covered.
Integration is very easy.
Integration is very easy.
What do you dislike about the product?
Sometimes the incorrect data was shown which is little misleading
What problems is the product solving and how is that benefiting you?
row count change, table and field lineage and the custom alerts to notify the change of data.
The definitive way to monitor your data for anomalies
What do you like best about the product?
Monte Carlo makes it really easy to create monitors and alert your team when something triggers your monitors. There is a thorough edit history and ways to test your monitors.
What do you dislike about the product?
The main downside of Monte Carlo is sometimes not having the easiest way to know if you wrote your queries correctly for your monitors. This is mostly a user training issue though, but there are AI tools that help you too.
What problems is the product solving and how is that benefiting you?
Understanding when unexpected behavior in our systems are happening
Monte Carlo Product Review
What do you like best about the product?
UI is great
Ease of setting up alerts
Data observability focused product
Ease of setting up alerts
Data observability focused product
What do you dislike about the product?
Automatic threshold algorithm - it is hard to make it work for all possible timeseries
Limited automation capabilities
Limited automation capabilities
What problems is the product solving and how is that benefiting you?
Data quality for BQ tables
Easy to use with a wide selection of useful defaults
What do you like best about the product?
How easy it is to setup monitors, the wide selection of default monitors available.
I also like how one can comment on alerts and view their history.
I also like how one can comment on alerts and view their history.
What do you dislike about the product?
The limitation on number of values we can segment a query by.
What problems is the product solving and how is that benefiting you?
Monitoring data quality and preventing issues from manifesting into customer environments.
Great product for data teams
What do you like best about the product?
Monte Carlo provides many useful details about an asset, such as the queries that were ran, providing a clear look into the reported anomalies. As a data engineer, it also provides integration with Slack, allowing us to receive alerts there.
Being able to create monitors with code also makes our process easier. I also appreciate the insight reports that can be used to improve our team's data governance.
Being able to create monitors with code also makes our process easier. I also appreciate the insight reports that can be used to improve our team's data governance.
What do you dislike about the product?
I would like to be able to change the landing page of Monte Carlo, instead of the default of Alerts.
What problems is the product solving and how is that benefiting you?
It allows a clear overview of my database tables and highlights when there are issues so they can be resolved quickly. This helps to improve our data reliability and accuracy that ultimately benefits business teams.
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