Monte Carlo Data + AI Observability Platform
Monte Carlo DataReviews from AWS customer
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Monte Carlo the great that observability tool
What do you like best about the product?
I like the Monte Carlo concept and a working product. The pre-sales and implementation have been very professional and the staff has been very helpul.
What do you dislike about the product?
There are no negative aspects about Monte Carlo that I can think of right now.
What problems is the product solving and how is that benefiting you?
Monte Carlo is enabling us to foremost build at feedback loop with the product teams who own the data sources so they know straight away if something is wrong with quality of the data they provide. It also enables data scientists to check if there is something wrong with the data in their models.
Tool that made Data Quality checks accessible & team that made Data Quality measurable
What do you like best about the product?
Monte Carlo made data quality checks no longer a responsibility of the Data engg teams, Product owner can also create monitors to track potential data issues themselves rather than relying dev teams.
Monte Carlo is one-tool solution to conduct your impact analysis and root cause analysis of all data quality issues.
Monte carlo aims to continuously improve the ways on how we measure Data Quality of our data
Monte Carlo is one-tool solution to conduct your impact analysis and root cause analysis of all data quality issues.
Monte carlo aims to continuously improve the ways on how we measure Data Quality of our data
What do you dislike about the product?
Documentation on the Monitors being used could improve. Whilst they have the monitors information available for starting with the tool, catering to advanced users need to be worked upon
Mapping monitor to a given data quality use case ( medium to advance complexity) is a trial and experimentation process.
Mapping monitor to a given data quality use case ( medium to advance complexity) is a trial and experimentation process.
What problems is the product solving and how is that benefiting you?
With data issues, its always about when its identified and who spots it. Before Monte Carlo, it was manual checks and data quality dashboard that someone has to execute daily and/ or it was the End -user reporting data errors. With Monte carlo, be it their automated monitors or custom monitors, checks are scheduled and team is notified whenever there is an incident. Thereby freeing time for developers to work on development and allowing data owners to proactively place Information notes for the impacted end-users.
Monte Carlo - Best data handling tool which reduce human efforts
What do you like best about the product?
Best data handling tool, UI is user friendly
What do you dislike about the product?
User Access settings can be improved more
What problems is the product solving and how is that benefiting you?
Schema Changes at source side, Volumn Anemalies
Great and useful data monitoring system
What do you like best about the product?
I like the fact you can monitor different tables and views, see the lineage of your tables.
have built in monitors like data freshness and volume, but also the ability to add custom tests.
have built in monitors like data freshness and volume, but also the ability to add custom tests.
What do you dislike about the product?
I would like better fitted integration to email.
sometimes you get false positives.
sometimes you get false positives.
What problems is the product solving and how is that benefiting you?
-monitoring data quality
-finding issues in the data fast
-being able to add your own tests.
-finding issues in the data fast
-being able to add your own tests.
The overall experience is great. MC keeps the organization data fresh.
What do you like best about the product?
Various integrations to multiple platforms
Customer support are really helpfull and making an effort to help as much as they can
the overall product is easy to use
Customer support are really helpfull and making an effort to help as much as they can
the overall product is easy to use
What do you dislike about the product?
can create alert fatigue due to lack of alerts configurations
What problems is the product solving and how is that benefiting you?
MC keeps our organization data fresh by monitoring Freshness and Volumes.
those alerts can help us find and tune process that can be falty and fix them.
we monitor the usage of our data from our customers and see the lineage to the BI tools, a very powerfull tool to investigate which products we deliver are more usefull and which are less usefull
those alerts can help us find and tune process that can be falty and fix them.
we monitor the usage of our data from our customers and see the lineage to the BI tools, a very powerfull tool to investigate which products we deliver are more usefull and which are less usefull
Satisfying data observability and monitoring tool
What do you like best about the product?
Monte Carlo has played a vital role in improving our data monitoring and quality assurance endeavors. Its seamless implementation process make it effortless to use and integrate into our current infrastructure. Monte Carlo provides us with robust and flexible monitoring, enabling us to identify and prevent data issues proactively. All in all, we are extremely satisfied with Monte Carlo's effectiveness in helping us maintain data integrity and reliability.
What do you dislike about the product?
Interface for the assets could be more user-friendly
What problems is the product solving and how is that benefiting you?
Proactive Issue Detection: Monte Carlo enables us to proactively identify and address data issues before they escalate, helping us maintain data integrity and reliability.
Streamlined Data Monitoring: With Monte Carlo's intuitive interface and customizable alerts, we can easily monitor our data pipelines and infrastructure, ensuring continuous data quality and reliability.
Improved Data Quality Assurance: Monte Carlo's comprehensive feature set, including anomaly detection and trend analysis, enhances our data quality assurance processes, allowing us to prevent problems and maintain high-quality data.
Streamlined Data Monitoring: With Monte Carlo's intuitive interface and customizable alerts, we can easily monitor our data pipelines and infrastructure, ensuring continuous data quality and reliability.
Improved Data Quality Assurance: Monte Carlo's comprehensive feature set, including anomaly detection and trend analysis, enhances our data quality assurance processes, allowing us to prevent problems and maintain high-quality data.
Peace of mind through automated data monitoring
What do you like best about the product?
Monte Carlo has an exceptional out-of-the box monitoring capability which has helped us scale our data quality to thousands of tables with ease. Their UI is very intutive and the asset dashboard provides an unparalleled glance at how your data in the tables is developing. It has become part of my daily workflow.
Additionally, their customer support has been excellent! The pace of evolution of the tool is rapid, with new exciting functionality many times a month.
Additionally, their customer support has been excellent! The pace of evolution of the tool is rapid, with new exciting functionality many times a month.
What do you dislike about the product?
So far, I don't have any reasons to dislike the product. However, there are a few areas of improvements in the administration of users (i.e. domain-based access) which could be simpler.
What problems is the product solving and how is that benefiting you?
Anomaly detection within our tables with regard to the number of rows and the frequency of updates.
Circuit-breaking our pipelines in case of unhealthy data.
Incident management, such as keeping stakeholders up-to-date about the progress.
Circuit-breaking our pipelines in case of unhealthy data.
Incident management, such as keeping stakeholders up-to-date about the progress.
Great Data observability tool.
What do you like best about the product?
1. Alerts for the data behaviour changes.
2. Supported us many times with anomalies in timely manner.
2. Supported us many times with anomalies in timely manner.
What do you dislike about the product?
1. Too many alerts some scenarios during non business days.
What problems is the product solving and how is that benefiting you?
On daily basis, MC tool monitor our tables and notify us.
Many times, MC helped us for Freshess, Volume and Schema chnages in our tables.
Many times, MC helped us for Freshess, Volume and Schema chnages in our tables.
Great data observability service!
What do you like best about the product?
Constant monitoring of our data platform on so many aspects, ease of use and flowy UI.
We use it on daily basis since its alerting solution is very versatile and persice.
We use it on daily basis since its alerting solution is very versatile and persice.
What do you dislike about the product?
In some cases its first AI generated threshold is inadectiute and causes data lags that causes us to miss it out. A human intervension will than resolve this issue.
What problems is the product solving and how is that benefiting you?
Monte Carlo solves a variaty of issues such as data integrity, data validation, error history, profound visablilly angles on our asests and amazing lineage that help us with impact analisys.
Simple to get going, great support from the MC team
What do you like best about the product?
As a data leader, it is great to see teams across the Tech and business domains are able to onboard, self-start and build data reliability into their day to day with relatively ease. The docs, training and support from the MC team is superb, which really takes the cost and effort out of my own limited resources. And this is having measurable impact in the quality of data across our estate thanks to the automated, self-learning nature of the platform.
What do you dislike about the product?
It's a stretch for a 'downside' but... perhaps the simplicity with which we can onboard new teams into the tool and get the basics up and running means that we don't need to have dedicated focused support for the platform, which may lead to a slight plateau in our ramp up into the more mature capabilities.
What problems is the product solving and how is that benefiting you?
driving greater reliability of our data across a federated data ownership landscape of teams who are constrained for capacity and do not have 'data' as their primary purpose in their day to day.
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