Monte Carlo Data + AI Observability Platform
Monte Carlo DataReviews from AWS customer
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Great tool and concept; needs some added functionality
What do you like best about the product?
I think Monte Carlo is a great way to monitor data issues and I love the "built-in" freshness/volume anomaly monitors on any tables added to Monte Carlo.
What do you dislike about the product?
We are using the Monte Carlo product to monitor our BigQuery tables. I have chatted with Monte Carlo support about this before and put in a ticket; but it would be great if we were able to set variables within Monte Carlo monitors (we wanted to use a list within the monitor in order to take advantage of partitioning in BigQuery, as BigQuery does not support dynamic partitioning and thus a CTE would not use partitioning correctly).
Scenario:
Using a list within a Monte Carlo monitor results in failure. The MC monitor simply takes the first output written in the monitor (the result of setting the list) and considers that as the monitor. The rest of the code in the monitor (after the list is set) is not considered.
You can see the ticket or contact me for additional details/explanation.
Additionally, I think it would be useful if there were more automated monitors (for example, you could set up an automated monitor so that for ANY anomalous value in the table, the monitor is triggered).
Scenario:
Using a list within a Monte Carlo monitor results in failure. The MC monitor simply takes the first output written in the monitor (the result of setting the list) and considers that as the monitor. The rest of the code in the monitor (after the list is set) is not considered.
You can see the ticket or contact me for additional details/explanation.
Additionally, I think it would be useful if there were more automated monitors (for example, you could set up an automated monitor so that for ANY anomalous value in the table, the monitor is triggered).
What problems is the product solving and how is that benefiting you?
Monte Carlo is helping alert us to issues with data quality and freshness. It also helps the data scientists on a connected team be alerted to changes in the distribution of consumers we have purchase data for.
Data quality checks
What do you like best about the product?
The montecarlo is giving me a lot of posibilities in terms of data quality. I can setup the notifications, create a groups of people and send them a notification if something failes
What do you dislike about the product?
As the user of google chat I'm realy anoyed that I need to use emails. For me the best way for alerts will be a direct message to a google chat group. The best way will be use the webhooks that google is providing
What problems is the product solving and how is that benefiting you?
The montecarlo can compare few datasets and can send me a notification if I have less data or more. It is helping me to not make a huge mistakes for example it will send me the aler if the data from the table has been droped
Monte Carlo is a game changer for our team's efforts to automate compliance controls
What do you like best about the product?
Monte Carlo brings a high degree of governance, change management, and automation to this product sphere that make it a great fit for compliance control automation. Our organization has taken prior manual compliance testing scenarios and the concept of controls generally into Monte Carlo. Integration with tools like Slack enable smooth alerting, response, and remediation. Monte Carlo also adds value through more proactive insights on anomalies in data tables that help us get ahead of emerging incidents.
What do you dislike about the product?
Excited to see Monte Carlo increase it's accuracy and effectivness in proactively surfacing potential anomalies based on patterns in data tables. Specifically getting more advanced at detecting nuanced seasonal changes or patterns related to metadata in other tables in more dynamic ways.
What problems is the product solving and how is that benefiting you?
Monte Carlo is providing greater confidence in our data quality, highlighting us of pattern-based opportunities, and alerting us of user-defined regulatory compliance adherence and investigation needs. Monte Carlo covers core data governance, enables insight to data-driven controls and related change management, and is generally leveling up our approach driving action with data across a variety of dimensions.
The data alerts are easy to use and I love the assets tab!
What do you like best about the product?
The asset tab / data catalog is really good! I love how I can directly look at how frequent the table is updated and how many new rows every update have. I also love the fact that we can trace down the upstream and downstream queries/tables. This is really useful cause it allows me examine the definition of each column without having to figuring who owns the query and where I can find the definition.
What do you dislike about the product?
The experience is good overall. One thing I would note that I use the custom SQL a lot. Part of the reason is the smart alert sometimes can output unpredictable alert where it is more predictable with a threshold in custom SQL. Also, it is unclear to me if marking the alerts as "expected/no action needed/etc." feeds into the algo and makes the alert better.
What problems is the product solving and how is that benefiting you?
The data catalog helps me trace down the upstream and downstream tables and allows me to check the definiton of the columns.
The functionality that shows the accounts querying the table is also very helpful when we want to migrate/deprecate the table and we can pin down who is still using it.
The functionality that shows the accounts querying the table is also very helpful when we want to migrate/deprecate the table and we can pin down who is still using it.
A very strong platform with multiple data capabilities
What do you like best about the product?
the monitoring being customizable and the automatic monitoring providing comprehensive data vhanges overview
What do you dislike about the product?
the ui is difficult to understand at first
What problems is the product solving and how is that benefiting you?
checking when there are unexpected data changes
Difficult to set up complex monitors
What do you like best about the product?
Easy to set up simple monitors; easy to acknowledge alerts from slack
What do you dislike about the product?
Difficult to create more complex monitors
What problems is the product solving and how is that benefiting you?
We want to be alerted of anomalies in our data
Recommend Monte Carlo for data anomaly checks
What do you like best about the product?
Anomaly detection monitors, especially for fields with high cardinality, are great! They have often caught anomalous NULL values or unseen data before, which has led us to identify bugs.
What do you dislike about the product?
Some ML-based monitors that detect variations in time series are not full accurate.
What problems is the product solving and how is that benefiting you?
Ensuring data quality, identify data anomalies, setting up regular SQL monitors to run custom checks against data
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
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