Monte Carlo Data Observability Platform
Monte Carlo DataReviews from AWS customer
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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.
The perfect tool to complement our data team
What do you like best about the product?
I personally love the built in monitors that test the freshness of our data, and the alerts are often helpful in identifying data issues before they get to our end users!
What do you dislike about the product?
i sometimes struggle to come up with my own custom monitors and sometimes the ML in the monitors can go off when we expect a large addition etc
What problems is the product solving and how is that benefiting you?
it helps us monitor the freshness of our tables and we can easily spot if a pipeline has failed. it also helps us make sure our code releases dont cause duplicate data etc
I find daily monitor for testing reconciliation and data quality useful to spot problems early
What do you like best about the product?
I mainly use the sql monitors to run daily tests. This enables me to run automatic reconciliation checks. I find these very easy to use and the slack features good.
What do you dislike about the product?
If not configured correctly there can be too many alerts
What problems is the product solving and how is that benefiting you?
Reconciliaiton
Monte Carlo
What do you like best about the product?
Monte Carlo's data monitoring solution is a powerful tool for ensuring data quality and reliability. Its automated insights, anomaly detection, and easy integration make it indispensable for maintaining trust in your data. Highly recommended!
What do you dislike about the product?
Pricing might feel steep for smaller teams, and advanced features can have a learning curve, but the value is worth it.
What problems is the product solving and how is that benefiting you?
Prevents data downtime by detecting anomalies and ensuring data quality, saving time and building trust in our platform analytics
A fresh look at Data Monitoring
What do you like best about the product?
I like that Monte Carlo turns the idea of Data Quality on its head and runs with the concept of Observability instead.
What do you dislike about the product?
Dashboarding/BI could be integrated since all information required is already available.
What problems is the product solving and how is that benefiting you?
Monte Carlo tells us when there are failures in pipeline loads in addition to data errors itself. It has also saved us time in creating checks because of the OOTB features as well as the ML model that learns behavior over time.
A robust platform for data observeabiltty
What do you like best about the product?
Flexible for adjustment and implementation, good anomalies discovery, custom tests which cover most of our edge cases, pretty intuitive UI,
What do you dislike about the product?
The algorithm is not perfect and sometimes raises false alarms continuously.
What problems is the product solving and how is that benefiting you?
Raising flags for unusual behavior - which raises issues ahead of the incident
Helps discover changes in structure both in source tables and in our modeled DWH tables and prevent processes to fail in the night run.
Helps discover changes in structure both in source tables and in our modeled DWH tables and prevent processes to fail in the night run.
Monte Carlo Review
What do you like best about the product?
Monte carlo is the best tool for data testing, with ease of use and implementing of features gets easy. THe support provided is also great.
What do you dislike about the product?
Monte carlo needs a huge sum of data for review and sometime time consuming too
What problems is the product solving and how is that benefiting you?
We are transferring data from l0 to l5 to our dashboards so we take help of monte carlo at l2 and l3 levels. This makes easy for us in data quality and mointoring the etl pipelines. A big thanks to Monte carlo to making our work easy.
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