Monte Carlo Data + AI Observability Platform
Monte Carlo DataReviews from AWS customer
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Best tools for data visualization
What do you like best about the product?
I can see the lineage with Monte Carlo, and also see queries, even if I don't have system advisor access. I can see where my table and which table is being used in dashboards, all from one place. It is easy to use.
What do you dislike about the product?
Yes, there is a problem that when we fine-tune, think about it, data is being deleted and inserted, but we receive alert analysis there. However, it is being deleted and inserted on time, so why is it showing data mismatch?
What problems is the product solving and how is that benefiting you?
Monte Carlo helps us by accessing the data server to check, analyze the model, and understand the impact of editing the models.
Montecarlo Convenient Management, But Needs Clearer Release Details
What do you like best about the product?
I don’t have to manage it’s underlying infrastructure.
What do you dislike about the product?
I am unable to precisely see the changes released for montecarlo cli
What problems is the product solving and how is that benefiting you?
It’s solving data monitoring in my use case
Real-Time Anomaly Detection That Delivers
What do you like best about the product?
Detecting anomalies, and sending real-time alerts
What do you dislike about the product?
During our training sessions with the MC Team, there are several items that aren’t feasible but have workarounds
What problems is the product solving and how is that benefiting you?
Data Analysis
Great Tool for Easy Data Tracking and Quality Monitoring
What do you like best about the product?
Tool for easy track table data with bench mark. Customised altering system helps on daily monitoring. Dashboard stand out on data quality check and table activities.
What do you dislike about the product?
With current usage i havent see dislike.
What problems is the product solving and how is that benefiting you?
Tacking the table wise data quality and deviation monitoring being challenging. With Monte Carlo it is ease to use all as single hand and dashboard and custom alter config makes the day easier.
Great User Interface and Customer Service
What do you like best about the product?
1. Great user interface, straightforward to understand the functions of different section.
2. The customer service is great. Jennifer and Demarcus are really helpful in answering our quesitons and providing suggestions on building what we need.
3. The Monte Carlo integrates well with Teams and Jira.
2. The customer service is great. Jennifer and Demarcus are really helpful in answering our quesitons and providing suggestions on building what we need.
3. The Monte Carlo integrates well with Teams and Jira.
What do you dislike about the product?
1. The methodology of machine learning tools in Monte Carlo could be more straightforward, and it would be great if we can choose the algorithm for machine learning.
What problems is the product solving and how is that benefiting you?
Monte Carlo helps monitor the data quality of tables and reduce our efforts to check the data manually. It makes sure the data goes in and out of our model aligns with our expectations and prevents major data issues happening.
Quick Wins using Monte Carlo
What do you like best about the product?
Monte Carlo's out of the box monitors create a relatively easy way to set yourself up for some potential big wins. Alerting that your source volume shows a small dip below expectation can potentially uncover a big issue. Focusing on critical data first sets you up to avoid an overwhelming number of alerts as the product 'learns' your data.
What do you dislike about the product?
Monte Carlo is early in the process to support the integration of Data Observability and the supporting Data Pipelines' state.
What problems is the product solving and how is that benefiting you?
Highlights data issues which are not obvious. Provides the capability to allow us to manually create monitors for critical checks. Out of the box monitors means less work to set up the product.
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.
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