Monte Carlo Data Observability Platform
Monte Carlo DataReviews from AWS customer
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Great data observability with easy to use tool
What do you like best about the product?
I've found Monte Carlo straight forward to use and easy to implement. The team at Monte Carlo has been very helpful when we've been onboarding new data products and provide timely and effective feedback for new users.
Despite being a large financial institution, we've been able to integrate MC to our systems using the OOTB supported methods which has made it much more efficient than other third-party products.
The OOTB ML monitoring has been a real hit at my organization and has enabled us to identify a number of issues more quickly than we would have been able to previously.
I've also been impressed by the variety and number of new features that Monte Carlo are releasing which have been especially helpful with incident notification to Teams.
Despite being a large financial institution, we've been able to integrate MC to our systems using the OOTB supported methods which has made it much more efficient than other third-party products.
The OOTB ML monitoring has been a real hit at my organization and has enabled us to identify a number of issues more quickly than we would have been able to previously.
I've also been impressed by the variety and number of new features that Monte Carlo are releasing which have been especially helpful with incident notification to Teams.
What do you dislike about the product?
Some of the documentation around the API's could do with improving and the number of API's make it a little difficult to understand which API to use in which circumstance.
What problems is the product solving and how is that benefiting you?
We implemented MC to allow our data teams to more quickly understand if something was broken and a starting place for the investigation to fix it. This has meant that time to detection and time to recovery are now quicker than before. As part of our financial regulations, we need to provide a level of data quality across all of our core data products, and we were able to map MC's OOTB ML and other monitors to these requirements and provide our regulator with assurance that we are doing this.
MC is excellent for autonomous asset monitoring
What do you like best about the product?
I like how scalable it is. We have onboarded our first wave of users and they have been able to easily create their own monitors. Our orgs overall trust in our data products has grown significantly.
What do you dislike about the product?
Honestly nothing at this time. I think we're still working throwing which assets we NEED to monitor vs which are just "nice to have".
What problems is the product solving and how is that benefiting you?
MC is our autonomous data quality checker. We have deprecated various scheduled Airflow jobs to monitor our datasets since MC just does it better. MC monitors also demonstrate the ability to grow over time and learn the asset better. We have high confidence in our products now and trust that there are no hidden anomalies.
Montecarlo has helped us have more detailed insights on our data.
What do you like best about the product?
Montecarlos anomoly detection has helped us correct small data discrepencies that we didnt know existed in our pipelines. The integration with our slack has helped us be notified of discrepancies quicker and more efficiently.
What do you dislike about the product?
When making a monitor the default adds all checks instantly, If you ever have to change them you have to go remove all of them and add them one by one.
What problems is the product solving and how is that benefiting you?
Montecarlo is helping make sure that we provide the best possible data to our stakeholders by allowing us to create custom monitors that give us insight into very specific situations.
MC is a great tool
What do you like best about the product?
I like the machine learning feature where it learns your data and determines thresholds, automatically.
What do you dislike about the product?
I think cost is somewhat on the high end.
What problems is the product solving and how is that benefiting you?
Automated monitoring and alerting on our data and pipelines.
Great with a lot of set-up
What do you like best about the product?
I think it's awesome at finding issues in our system that we aren't able to capture with our own validation tools.
What do you dislike about the product?
It takes a lot of set-up and tuning. We've had to disable a lot of the out of the box monitors for specific assets because they were too noisy.
What problems is the product solving and how is that benefiting you?
We collect data from government sites, and it tells us when we haven't collected data. From the alerts, we can investigate if it's an issue on the source's end, within our system, or with replication.
Monte Carlo review
What do you like best about the product?
I like how easy the interface is. It is really easy to navigate.
What do you dislike about the product?
Sometimes raises false alerts for some tables.
What problems is the product solving and how is that benefiting you?
It helps keep track of the data we need for monthly validation.
Easy to use, but limited in advanced features.
What do you like best about the product?
- Simple UI
- Good filtering of data monitors
- Straightforward to implement
- Good filtering of data monitors
- Straightforward to implement
What do you dislike about the product?
- Not enough customization for monitors
- Black box algos
- Limited dashboards
- Black box algos
- Limited dashboards
What problems is the product solving and how is that benefiting you?
Building a model validation pipeline all from scratch for very basic data integrity checks.
Great data quality monitoring
What do you like best about the product?
1. Proactive Data Quality Monitoring
2.Automated Anomaly Detection
2.Automated Anomaly Detection
What do you dislike about the product?
1. Difficult UI Navigation. It's not very friendly to new user
What problems is the product solving and how is that benefiting you?
1. Data quality monitor
Great for non-technical stakeholders
What do you like best about the product?
It has an easy to use UI as well as well connected architecture
What do you dislike about the product?
It has restricted programming capabilities
What problems is the product solving and how is that benefiting you?
Automatically validating our input data
it has been a great learning experience
What do you like best about the product?
I love the fact that you can train your data to create automatic thresholds
What do you dislike about the product?
I think it can have more capabilities, by being more flexible in terms of setting up monitors on number of columns/features
What problems is the product solving and how is that benefiting you?
It has been helpful in monitoring our input tables, with row count checks
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