Monte Carlo Data Observability Platform
Monte Carlo DataReviews from AWS customer
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Monte Carlo for incident alerts
What do you like best about the product?
* Incident monitorring capability
* Anomalies detection
* Anomalies detection
What do you dislike about the product?
It's a bit slow to open the details about the incident
What problems is the product solving and how is that benefiting you?
* Incident detection
* Anomaly detection
* Anomaly detection
Monte Carlo is the trusted tool our data engineering team relies on to ensure data quality!
What do you like best about the product?
One of the things I really appreciate about Monte Carlo is its automated, out-of-the-box monitors powered by anomaly detection, which learn from our data patterns and alert us to irregularities. It has quickly become an indispensable tool for uncovering unknown data quality issues in our daily operations.
What do you dislike about the product?
Monte Carlo is less effective for infrequently updated data, such as bi-weekly, monthly, or quarterly datasets, as the out-of-the-box monitors are not designed to support these use-cases. While custom monitors can address this, they sacrifice scalability, reducing the tool's overall usability for these use cases.
What problems is the product solving and how is that benefiting you?
- Detecting and resolving anomalies like missing, duplicated, or corrupted data.
- Minimizing periods when data is unreliable or unavailable.
- Ensuring schema, volume, and freshness changes do not go unnoticed.
- Automating data monitoring across complex, large-scale ecosystems.
- Building confidence in data reliability for decision-making.
- Providing timely alerts to proactively address data-related incidents.
- Minimizing periods when data is unreliable or unavailable.
- Ensuring schema, volume, and freshness changes do not go unnoticed.
- Automating data monitoring across complex, large-scale ecosystems.
- Building confidence in data reliability for decision-making.
- Providing timely alerts to proactively address data-related incidents.
Its a great tool to have if used properly
What do you like best about the product?
Custom sql alerts
Tags and audiences feature
Dashboard
Tags and audiences feature
Dashboard
What do you dislike about the product?
Sometimes it gets buggy
Things keep changing
Things keep changing
What problems is the product solving and how is that benefiting you?
Data monitoring for our data assets in the entire organization
Useful tool with a few teething issues
What do you like best about the product?
It has made alerting much more streamlined and efficient in our business and quickly alerts to problems
What do you dislike about the product?
The thesholds can be quite wild which can lead to false positives
What problems is the product solving and how is that benefiting you?
Quickly identifying problems with our data
The GO TO tool for Data Observability
What do you like best about the product?
When it comes to Data Observability, it's the best tool in the market. It's possible to check accurately the freshness, history of changes in tables, details... Fundamental for Data Engineering and Data Governance Teams. I use it on a daily basis and I recommend the tool. As well, it is possible to integrate Monte Carlo with modern platforms such as Snowflake or PowerBI, what it makes it even better.
What do you dislike about the product?
The tool has great potential, but its current approach to user permissions is holding it back. Right now, managing roles feels like navigating a maze through "audiences", which makes it incredibly frustrating to control who sees what.
What problems is the product solving and how is that benefiting you?
It ensures that our jobs that load tables in the Data Warehouse are up to date. It makes my task easier.
Powerful Data Observability with a Learning Curve
What do you like best about the product?
- Helps minimize incidents related to incorrect or missing data.
- Automates monitoring and anomaly detection, freeing up time for data teams.
- Increases confidence in our data assets and landing processes
- Automates monitoring and anomaly detection, freeing up time for data teams.
- Increases confidence in our data assets and landing processes
What do you dislike about the product?
- It is not very intuitive. Sometimes is tricky to have an idea where to go within the tool.
What problems is the product solving and how is that benefiting you?
Monte Carlo enables us to detect landing anomalies significantly faster, dramatically reducing our time to insight compared to manual detection methods.
Useful, but interface sometimes unintuitive to navigate and permissions a pain
What do you like best about the product?
Visual look at times rule has been broken + slack integration
What do you dislike about the product?
UI can be unintuitive when making new alerts or changing them or even just trying to change calendar view of different alerts. Also permissions hard to manage with a lot of trial and error until working properly
What problems is the product solving and how is that benefiting you?
Allows us to spot when population is changing to show when we need to retrain models, or spot weird trends in data like higher null rates or values outside normal ranges
Monte Carlo has been a useful all in compass tool that is good for organizations.
What do you like best about the product?
I like the the machine learning insights on the monitors / alerts. I like the lineage built in with the data products.
What do you dislike about the product?
More AWS S3 integration would be helpful
What problems is the product solving and how is that benefiting you?
Monte Carlo is helping with monitoring and alerting of possible data issues. It is also useful in notifying when data isn't landing properly.
Useful DQ tool
What do you like best about the product?
The OOTB rules are useful and the dashboard feature is very helpful.
What do you dislike about the product?
I think some of the UI changes that are made recently are inconvenient. Also, for the external tables recently we are seeing a lot of OOTB rules not working.
What problems is the product solving and how is that benefiting you?
Helping us in reporting breaches in our data
Metadata Lead
What do you like best about the product?
The layout is intuitive and user-friendly, making it easy to navigate and use.
What do you dislike about the product?
I think there should bea help section and provide useful links to new users and frequent questions.
What problems is the product solving and how is that benefiting you?
From a meta perspective, we standardize values and implement monitors to track when new values are added to the tables. The alert system notifies us promptly, making it easy to integrate new values efficiently.
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