Monte Carlo Data Observability Platform
Monte Carlo DataReviews from AWS customer
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I use it as a BI developer to monitor our DWH tables
What do you like best about the product?
Monte Carlo's intuitive and user-friendly interface makes complex data observability tasks straightforward.
Its proactive alerting helps identify and resolve data issues quickly, saving significant debugging time.
The ability to visualize data lineage and dependencies clearly enhances understanding and communication within teams.
Its proactive alerting helps identify and resolve data issues quickly, saving significant debugging time.
The ability to visualize data lineage and dependencies clearly enhances understanding and communication within teams.
What do you dislike about the product?
Sometimes alerts can become noisy, leading to occasional alert fatigue.
Customization options could be expanded to better tailor the observability setup to specific team workflows or unique data environments.
Customization options could be expanded to better tailor the observability setup to specific team workflows or unique data environments.
What problems is the product solving and how is that benefiting you?
Data Downtime and Quality Issues: Monte Carlo identifies anomalies and errors early, preventing data downtime.
Lack of Visibility into Data Pipelines: Provides comprehensive visibility into data lineage, improving understanding of data dependencies.
Delayed Incident Detection: Quickly alerts teams to issues, reducing the time between occurrence and detection.
Lack of Visibility into Data Pipelines: Provides comprehensive visibility into data lineage, improving understanding of data dependencies.
Delayed Incident Detection: Quickly alerts teams to issues, reducing the time between occurrence and detection.
Very good product
What do you like best about the product?
I was really impressed with how easy this product is to use. Right out of the box, setup was quick and straightforward with clear instructions. The interface is intuitive, and I didn’t need to spend time figuring out how it works—it just made sense. Even for someone who isn’t very tech-savvy, this product makes daily tasks simple and efficient. It’s clear that a lot of thought went into the user experience. Overall, if you’re looking for something that’s hassle-free and beginner-friendly, this is a great choice.
What do you dislike about the product?
Monte Carlo simulations often require a large number of iterations to produce accurate results, which can be very resource- and time-consuming, especially for complex models.
What problems is the product solving and how is that benefiting you?
For our team, the biggest benefit is proactive monitoring. Instead of reacting to data issues after they've caused business disruption, we now catch them early. This reduces firefighting, saves analyst time, and builds trust with stakeholders by ensuring they’re always working with accurate, up-to-date data. Monte Carlo also improves collaboration between data engineering and BI teams by clearly showing where issues originate and how they affect downstream assets. Ultimately, it helps us deliver more reliable insights, faster.
Great Tool
What do you like best about the product?
The tool helps us to identify issues in the data quickly and issues that we don't always find ourself, the slack alert are really nice, we can create custom notifications
What do you dislike about the product?
The UI is not always intuitive enough, documentation looks not good enough for our customers, the options for new alert are too specific (expected - is weird status)
Has a lot of features but not always intuitive enough
Has a lot of features but not always intuitive enough
What problems is the product solving and how is that benefiting you?
Mainly data monitoring - we need to track our DWH and track changes in the data, failed processes, data issues that weren't flag and statistics change
Custom monitoring queries
Documentation
Custom monitoring queries
Documentation
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
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