Monte Carlo Data Observability Platform
Monte Carlo DataReviews from AWS customer
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Comprehensive and Insightful Data Analysis Tool
What do you like best about the product?
Monte Carlo Data provides an exceptional level of detail and accuracy in its simulations, allowing for robust risk assessment and decision-making. The user interface is intuitive, making it easy to set up and run complex models. Additionally, the ability to customize parameters and visualize outcomes through dynamic charts and graphs enhances the overall user experience.
What do you dislike about the product?
While the tool is powerful, it can be resource-intensive, requiring significant computational power for large datasets. Additionally, the initial learning curve can be steep for users unfamiliar with statistical modeling, and more comprehensive tutorials or user guides would be beneficial.
What problems is the product solving and how is that benefiting you?
Monte Carlo simulations enhance alerting and anomaly detection by modeling normal behavior and identifying deviations, improving the accuracy of detection systems across various applications. This approach enables quicker responses to unusual events, enhancing security and operational efficiency.
bi developer for 5 years
What do you like best about the product?
The smart alerts and the notifications to slack
What do you dislike about the product?
the UI looks old and it sometimes not clear where I need to go
What problems is the product solving and how is that benefiting you?
monitoring my tables, detecting issues in the data and running times
Central platform for our data platforms
What do you like best about the product?
The great thing with Monte Carlo if that it gives you visibility not just from basic table monitors but end to end from etl, tables and BI. Its a very simple tool to integrate to your platforms.
What do you dislike about the product?
I haven't really got a bad thing to say about Monte Carlo.
What problems is the product solving and how is that benefiting you?
Centralising the alerts for all our platforms, plus proactively alerting us to issues before the business.
User Experience
What do you like best about the product?
It helps understand usage and lineage. Also, while providing monitoring capability
What do you dislike about the product?
UI/UX can be better and more intuitive for ease of usage.
What problems is the product solving and how is that benefiting you?
They are trying to understand usage and help with the right approach
Has many features for data observability and it evolves their features
What do you like best about the product?
We use Monte Carlo to monitor our entire organisation's data warehouse. Its ML-based thresholds make it extremely useful for us.
This allows us to plug in our tables and identify anomalies, while also enabling us to tune the models per alert.
This allows us to plug in our tables and identify anomalies, while also enabling us to tune the models per alert.
What do you dislike about the product?
In our organization, we have multiple tables with nested values. We are not able to plug these columns.
What problems is the product solving and how is that benefiting you?
Behavioral data observability.
Great Data Observability Tool
What do you like best about the product?
The ability to view the model lineage, tests, and alerts within a single application is the most valuable asset for any data team. We have been using MC extensively and would not be able to function without it.
What do you dislike about the product?
Too many alerts..Wish it was smarter in aggregating the alerts
What problems is the product solving and how is that benefiting you?
Monte Carlo is helping us serve better data to our product teams and the business by enabling us to see real-time data quality issues.
It has good features but not anything espetacular
What do you like best about the product?
Good features, easy integrations with Slack/PagerDuty/Jira/etc.
The ui is good, the design also looks good.
The ui is good, the design also looks good.
What do you dislike about the product?
There are other ways we can use to to receive alerts and I would say that you need more stuff to differentiate yourself.
I dislike the assets search but the biggest issue for me is that the jobs visualisations are terrible. If a failling happens fast, the bar will be so small I cant even click on that. Also, would be much better if I could filtered based on error instead of looking to all the 1000s models we have hourly/daily.
I dislike the assets search but the biggest issue for me is that the jobs visualisations are terrible. If a failling happens fast, the bar will be so small I cant even click on that. Also, would be much better if I could filtered based on error instead of looking to all the 1000s models we have hourly/daily.
What problems is the product solving and how is that benefiting you?
receiving alerts in slack, integration with other softwares and a visual presentation of our dbt logs so its easier to reference the erros in other places
Detailed but not the easiest UI
What do you like best about the product?
Detailed information about every data asset
What do you dislike about the product?
The UI is hard to grasp at first. It took me some time to understand when to find stuff.
What problems is the product solving and how is that benefiting you?
We use Monte Carlo to monitor our Data assets and finds potential issues.
Amaizing tool
What do you like best about the product?
I do like how easy is to implement Monitor as a Code with MC.
What do you dislike about the product?
There's nothing specifically that I don't like, but some features that could be nice to have are some templates with the most common checks already set.
What problems is the product solving and how is that benefiting you?
I don't need to wait the analyts to report a strange number in the dashboards, now I get notified every time we have something strange in the applications that were reflected in our data lake.
A valuable observability platform with great support.
What do you like best about the product?
Easy to use with an intuitive interface
Fast and helpful support team
Strong data quality checks (volume, freshness, schema changes, ...)
Clear data lineage across pipelines and assets
Simple and reliable monitoring & alerting setup
Fast and helpful support team
Strong data quality checks (volume, freshness, schema changes, ...)
Clear data lineage across pipelines and assets
Simple and reliable monitoring & alerting setup
What do you dislike about the product?
Field-level lineage can be confusing and lacks clear tracking
What problems is the product solving and how is that benefiting you?
Monte Carlo helps us catch data issues early by monitoring volume, freshness, and schema changes. It reduces time spent debugging and gives us confidence in our data pipelines with clear alerts and lineage tracking.
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