Monte Carlo Data Observability Platform
Monte Carlo DataReviews from AWS customer
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We have it on many of our datasets and it has caught bugs, changes in distributions etc.
What do you like best about the product?
It is an easy way to set up diverse alerts
What do you dislike about the product?
sometimes it can be a little cumbersome to set up alerts with lots of metrics or know how to set some settings like the frequency of alerting.
What problems is the product solving and how is that benefiting you?
We have it set to alert us if rates are below expected thresholds from our model outputs, if there are new values in our dataset, if fields are unexpected or null, if there are errors.
Helpful and easy to use and configure
What do you like best about the product?
It is very easy to set up common alerts I want and also relatively straightforward to set up custom alerts. The easy integration with slack is also crucial, and I like that I can provide feedback on the alert directly in slack. I look to these alerts every day and they have tipped me off to issues I may otherwise have missed.
What do you dislike about the product?
I think it can be too noisy (too many alerts which can cause some alert fatigue) sometimes and I wish there was a bit more customization/direct feedback options on some of the built in alerts.
What problems is the product solving and how is that benefiting you?
Identifying data issues or data drift
MC has made my life much easier by giving me assurance in the quality of our data
What do you like best about the product?
The alert notifications to slack that make it quick for me to realize when something is wrong
What do you dislike about the product?
Sometimes the UI feels difficult to maneuver
What problems is the product solving and how is that benefiting you?
We ingest 3P data into our systems every single day, and we use Monte Carlo to tell us if our daily processes do not ingest the data for reasons such as a missed SLA
Easy-to-use data observability tool
What do you like best about the product?
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.
There are many features and monitors, and the product is constnatly evolving and improving.
The customer support team are very responsive, and feedback is genuinely listened to and acted upon.
Monte Carlo has many different integrations, and so is easy to use with most mainstream data tools. We have found that the "lineage" feature that Monte Carlo provides is actually more useful than that provided by Databricks Unity Catalog, because we can see the data flow end-to-end across all our different platforms (not just databricks).
There are many features and monitors, and the product is constnatly evolving and improving.
The customer support team are very responsive, and feedback is genuinely listened to and acted upon.
Monte Carlo has many different integrations, and so is easy to use with most mainstream data tools. We have found that the "lineage" feature that Monte Carlo provides is actually more useful than that provided by Databricks Unity Catalog, because we can see the data flow end-to-end across all our different platforms (not just databricks).
What do you dislike about the product?
Monte Carlo is quite a young product, which means it is constantly evolving.
This is great, because it means that features are being added all the time and the product is improving. However, it does mean that the interface often changes and the documentation is out of date.
It would be great if the monitors-as-code feature had some more support. At the moment, monitors-as-code is limited which means that the default is to create monitors through the UI, but this means there is limited visibility on which monitors have been created for which datasets, and minimal access crontrol.
This is great, because it means that features are being added all the time and the product is improving. However, it does mean that the interface often changes and the documentation is out of date.
It would be great if the monitors-as-code feature had some more support. At the moment, monitors-as-code is limited which means that the default is to create monitors through the UI, but this means there is limited visibility on which monitors have been created for which datasets, and minimal access crontrol.
What problems is the product solving and how is that benefiting you?
Monte Carlo is giving us real visiblility around our data quality, where all the data quality metrics are in one place and easy to visualise and interpret. This is something we have never had before.
easy to use, easy to onboard analysts
What do you like best about the product?
quick UI for getting alerts up and running
What do you dislike about the product?
sometimes it is difficult to navigate the UI. I have used it for a while and i still get confused sometimes.
What problems is the product solving and how is that benefiting you?
It is what we run data pipeline alerting with, and we also use it for business reporting (i know it is not intended for this, but it is useful!)
Great tool for data alerting
What do you like best about the product?
Monte carlo is a great tool for orgs looking to preemptively identify issues in their data ecosystem for critical areas.
What do you dislike about the product?
I think that there needs to be more information about why certain softwares aren't included as integration points for all features.
What problems is the product solving and how is that benefiting you?
Preemptively identifying issues in the data pipelines before they impact issues.
Easy to configure, allowed a quick migration
What do you like best about the product?
It's flexibility on the configuration side, we had already a set of DQ queries in use on a previous system and it was quite easy to migrate. Also the out of the box integration with slack.
What do you dislike about the product?
The UI could be more appealing and simple, the UX is a bit confusing when starting.
What problems is the product solving and how is that benefiting you?
We need to monitor data quality on our CRM platform, rules need to join different sources/date models. Monte Carlo can do that, it also manages the scheduling and notifications to Slack.
A great tool for troubleshooting and tracking changes
What do you like best about the product?
I really Like the ability of the custom query it allows me to create my own flexibility testing
What do you dislike about the product?
I am missing the ability to use AI to suggest testing options based on the process relevant to me.
What problems is the product solving and how is that benefiting you?
The Monte Carlo alarms me when an issue is across and allows me to be proactive instead of reactive
Useful for catching data inconsistencies
What do you like best about the product?
It is easy to use and you can create your alerts using SQL
What do you dislike about the product?
Not sure you can create alerts based on non SQL data sources
What problems is the product solving and how is that benefiting you?
Finding inconsistencies in our data and alerting when something is out of sorts early.
Great
What do you like best about the product?
the anomally detection is great. like the number of rows changes etc
What do you dislike about the product?
the mengment of the alerts. its too messy when we have a lot
What problems is the product solving and how is that benefiting you?
make sure all our processes are running and updated correctly.
if there is no size for a table its alerting me
if there is no size for a table its alerting me
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