Monte Carlo Data + AI Observability Platform
Monte Carlo DataReviews from AWS customer
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Great tool to aid at places you don't look at
What do you like best about the product?
Monte Carlo is a great tool to monitor data you don't watch for yourself.
It helps you catch changes in the application level that haven't been communicated enough and watch out for external interference.
It helps you catch changes in the application level that haven't been communicated enough and watch out for external interference.
What do you dislike about the product?
The BI insights are lack of details. We would like to have more of them and find more errors at the places where the management looks at reports.
We don't get enough details about changed schemas.
We get many incidents and don't know which ones are significant or which are not. Adding a significant weight to each one of those changes would be welcome.
We don't get enough details about changed schemas.
We get many incidents and don't know which ones are significant or which are not. Adding a significant weight to each one of those changes would be welcome.
What problems is the product solving and how is that benefiting you?
It helps us know if the data source got changed (or had issues) that we are unaware of otherwise.
Monte Carlo has prevented countless hours of data downtime.
What do you like best about the product?
Even if your orchestration tool sometimes catches issues, it will not detect things such as unexpected volume changes in a given table. MC gives us that across all of our tables automatically, which greatly improves our peace of mind.
What do you dislike about the product?
If you are not very diligent about your setup, or if you've built your codebase and warehouse in an unorthodox way, MC can set off false positives often and cause alert fatigue.
What problems is the product solving and how is that benefiting you?
Data observability at scale made easy.
Game Changer Governance Tool
What do you like best about the product?
As a cutting-edge data governance tool, Monte Carlo has exceeded my expectations in every way. From its intuitive user interface to its robust functionality, this tool offers a comprehensive solution for managing and governing data in a highly effective and efficient manner.
One of the standout features of Monte Carlo is its ability to detect and alert users to data quality issues in real time. This has enabled me to proactively address potential issues before they become bigger problems, saving me time and reducing the risk of errors in my data.
Another impressive aspect of Monte Carlo is its ability to track and monitor data lineage across the entire data ecosystem. This level of visibility has enabled me to easily identify the sources of my data and how it has been transformed, making it easy to trace back to any issues or errors that may arise.
One of the standout features of Monte Carlo is its ability to detect and alert users to data quality issues in real time. This has enabled me to proactively address potential issues before they become bigger problems, saving me time and reducing the risk of errors in my data.
Another impressive aspect of Monte Carlo is its ability to track and monitor data lineage across the entire data ecosystem. This level of visibility has enabled me to easily identify the sources of my data and how it has been transformed, making it easy to trace back to any issues or errors that may arise.
What do you dislike about the product?
Firstly, I would like to see improvements to the user interface. While the tool is generally easy to navigate, some of the features and functionalities could be better organized and more intuitive. Clearer labels and more streamlined workflows would make it easier to find the features I need and use the tool more efficiently.
Another area where I would like to see improvements is in the speed and reliability of the tool. I have experienced slow load times and occasional crashes, which can be frustrating and disrupt my workflow. Improvements to the tool's performance would help me to work more efficiently and effectively.
Another area where I would like to see improvements is in the speed and reliability of the tool. I have experienced slow load times and occasional crashes, which can be frustrating and disrupt my workflow. Improvements to the tool's performance would help me to work more efficiently and effectively.
What problems is the product solving and how is that benefiting you?
One of the main problems that Monte Carlo solves is the issue of data quality.. By continuously monitoring the data flow and alerting users to potential data quality issues, Monte Carlo helps organizations to identify and address these issues in a timely manner, before they become bigger problems.
Another problem that Monte Carlo addresses is the lack of visibility into the data pipeline. With many organizations using multiple data sources and transformations, it can be difficult to track the lineage of data and understand how it is being transformed. Monte Carlo provides end-to-end data lineage visibility, enabling users to understand the data pipeline and trace data issues back to their source.
Another problem that Monte Carlo addresses is the lack of visibility into the data pipeline. With many organizations using multiple data sources and transformations, it can be difficult to track the lineage of data and understand how it is being transformed. Monte Carlo provides end-to-end data lineage visibility, enabling users to understand the data pipeline and trace data issues back to their source.
A Great product at a price
What do you like best about the product?
The data observability had been great when we POC'd MC and was totally blown over by the features and the ease of setup. Once the alerts were optimized with the support team from MC, we were very happy with the results. However, it's a big investment and the pricing is on the higher end especially when the companies are looking to streamline and limit the money being spent.
What do you dislike about the product?
The alerts were set at database level instead of warehouse level, so if there was a downstream alert it wasn't rolled into the upstream alert. Not a big issue but a great to have feature.
What problems is the product solving and how is that benefiting you?
We poc'd the product for data observability and data quality checks. It was able to identify some great issues.
Quick setup, great observability
What do you like best about the product?
UI is fantastic. The dashboard for alerts is very informative and it's very easy to setup monitors. Another plus is the aboility to integreate with Slack and PagerDuty
What do you dislike about the product?
Nothing in particular. Monte Carlo satisfies all the requirements that I have to be able to monitor my data. I wish they had the ability to version control the SQL code for the monitors
What problems is the product solving and how is that benefiting you?
I'm able to quickly setup data monitors, and be able to fine tune the monitor thresholds to fit my applications' needs. We are able to proactively monitor any data issues and resolve them, therefore boosting our data quality
Monte Carlo Data Collector helps you to know about your Data and its behavior.
What do you like best about the product?
Easy to connect to different Data Sources
What do you dislike about the product?
It is a little tricky to upgrade in Terraform Infrastructure
What problems is the product solving and how is that benefiting you?
Understand the usage and behavior of our different data repositories.
Great data monitoring solution
What do you like best about the product?
One place to find out everything about assets - documentation, quality, freshness, among other things.
What do you dislike about the product?
Some UI bugs can confuse the user about the status of the table.
What problems is the product solving and how is that benefiting you?
The most critical problem Monte Carlo solves is that it reduces data downtime. It lets users know about quality issues that wouldn't surface without it.
Business is able to trust the data a little more with Monte Carlo monitoring the quality.
Business is able to trust the data a little more with Monte Carlo monitoring the quality.
Must-have for your Data
What do you like best about the product?
- easy notification set up with different channels integration, including Slack or PagerDuty
- out-of-the-box ready solutions to track schema changes, volume and others
- dashboard and incident tracker are really nice
- custom monitors and the possibility to set it up through 'monitors as code'
- out-of-the-box ready solutions to track schema changes, volume and others
- dashboard and incident tracker are really nice
- custom monitors and the possibility to set it up through 'monitors as code'
What do you dislike about the product?
Some minor things like Incidents or monitor filtering, but nothing significant.
What problems is the product solving and how is that benefiting you?
It helps us with data quality monitoring. Thanks to Monte Carlo, we can predict problems earlier and identify the root cause faster.
Monte Carlo is game changing for our data team
What do you like best about the product?
Monte Carlo FINALLY allows us to see the overall health of our data operations in one spot. Through their SQL-based monitors, we can surgically instrument different parts of our various pipelines and view the trend of data changes over time. Their field health monitors are also fantastic as they often magically detect issues we would have never thought to explicitly instrument. We've also found it extremely useful to review our Monte Carlo dashboards as part of our team's standup ritual- this practice has given us a much better understanding and appreciation of the correlation between releasing new models and impacting downstream systems.
What do you dislike about the product?
Monte Carlo uniquely solved a specific need and problem for our organization, so there have been no noticeable friction or pain points. Since Monte Carlo has become our team's predominant data tool, having data dictionary functionality and product directly integrated into Monte Carlo would be convenient since we already use it so much. We'd much rather see an integrated product rather than jump to another tooling system.
What problems is the product solving and how is that benefiting you?
Having clean, reliable data is at the core of our company's ability to execute. Their data monitors give us the confidence to run a massive amount of data through our ever-changing pipelines, allowing our team to know when and, more importantly, where things are broken. Ultimately our data science team can produce more changes and value to the business while maintaining our high data quality.
very flexible & holistic approach to data quality.
What do you like best about the product?
standard & customizable quality checks, easy to use reporting. integration with atlan and slack.
I also appreciate that we've been discussing internally of functionalities that could be useful in MC, they were implemented a few weeks after feedback was shared with the MC team.
I also appreciate that we've been discussing internally of functionalities that could be useful in MC, they were implemented a few weeks after feedback was shared with the MC team.
What do you dislike about the product?
navigation could be made simpler. as you are adding new functionalities, it's normal to get complex navigation, one click per functionality. but as you improve the system, you should look into how to improve accesibility and to minimize the number of clicks required.
What problems is the product solving and how is that benefiting you?
centralization of customized data quality checks and statistics.
we have all our controls in just one place, reducing our time invested into the controls & resolution of data breaches.
we have all our controls in just one place, reducing our time invested into the controls & resolution of data breaches.
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