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Superb
What do you like best about the product?
Monte Carlo are one of the few vendors focused on modern data quality. A cursory review of quality assurance testing approaches reveals a sole interest in software systems. Very little testing strategies have been built around data-first systems. Monte Carlo is blazing new paths into data quality on modern data processing systems.
What do you dislike about the product?
Monte Carlo is still building operational workflows on their product. They have a good system and are developing their position on data quality.
What problems is the product solving and how is that benefiting you?
Data quality. Automated testing, quality KPIs, and quality operations.
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Centralized Observability
What do you like best about the product?
The out of the box features, that can be helpful without a lot of guidance.
What do you dislike about the product?
It's not a dislike, but the work that needs to be put in. To get the most out of the product, working with the MC team to specific nuances of data, you can't get away with this for really any product. The better MC has an understanding of the data, the better the value.
What problems is the product solving and how is that benefiting you?
For data engineering, MC is our primary Production Monitoring tool. Pre-emptive alerts before they the errors are triggered, Alerts to reinforce analysis, to be sure you know the problems as early as possible.
Monte Carlo is the all seeing eye for our data
What do you like best about the product?
Its so helpful to have a tool that is constantly monitoring our data and lets us know when something suspicious happens. Countless times Monte Carlo has alerted us to an issue in the data before anyone else was aware, some of them quite high prority!
I really appreciate the customisability of Monte Carlo, you can set up your own custom sql tests meaning you can test just about anything you want. But conversely I also like the out of the box tests that Monte Carlo provides, meaning we don't need to constantly be setting up new custom tests for every table, the default tests provide a really good baseline for the 'health' of a table.
Finally the support we get from Monte Carlo is great. If I'm unsure how to do a particular thing or how best to implement a test I know they are just a question away and will be super supportive and helpful!
I really appreciate the customisability of Monte Carlo, you can set up your own custom sql tests meaning you can test just about anything you want. But conversely I also like the out of the box tests that Monte Carlo provides, meaning we don't need to constantly be setting up new custom tests for every table, the default tests provide a really good baseline for the 'health' of a table.
Finally the support we get from Monte Carlo is great. If I'm unsure how to do a particular thing or how best to implement a test I know they are just a question away and will be super supportive and helpful!
What do you dislike about the product?
I think, perhaps due to the amount of features and customisability Monte Carlo provides, sometimes the UI can be a little confusing. Setting up basic tests can be pretty straight forward but there are many different test types available and sometimes that can feel like there is a steep learning curve to using the platform.
However Monte Carlo does provide a MC university with lots of guides so I and my team could be utilising that more!
However Monte Carlo does provide a MC university with lots of guides so I and my team could be utilising that more!
What problems is the product solving and how is that benefiting you?
Our team is fairly small and we have a lot of data. It would be nigh impossible for us to continually monitor the data we are receiving and thats where Monte Carlo really helps us. The volume and freshness alerts are so valuable to let us know we are being sent the data that we would expect. A few times we have been alerted by Monte Carlo to find that there has been an error upstream and we are not receiving business crititcal data into our data warehouses, and this was before anyone else noticed.
Monte Carlo's audience feature means teams can set up their own monitors on their own data and be alerted in their own slack channel, this means we, as the centralised data team, aren't a bottle neck for teams to address data issues with their own pipelines.
Monte Carlo's audience feature means teams can set up their own monitors on their own data and be alerted in their own slack channel, this means we, as the centralised data team, aren't a bottle neck for teams to address data issues with their own pipelines.
A Robust Data Observability Tool
What do you like best about the product?
The tool excels in providing monitoring and automated data quality checks, which are crucial for maintaining data integrity. Its intuitive UI, clear, actionable insights, data lineage, and anomaly detection features are highly effective at identifying issues before they impact decision-making. The integration with various data sources is seamless, making it easy to incorporate into existing data ecosystems. Additionally, Monte Carlo’s proactive alerting system ensures that data issues are addressed promptly, enhancing overall data reliability.
What do you dislike about the product?
The platform’s pricing structure imposes limitations on the number of integrations, which can be restrictive and may affect its overall utility for teams with diverse data environments
What problems is the product solving and how is that benefiting you?
Monte Carlo has consistently and reliably alerted us to data integration issues, helping us ensure that problems are detected and addressed before they impact downstream systems and decision-making.
Making Data Observability Simple
What do you like best about the product?
At my company we have only scratched the surface of this best-in-class data observability tool and have found it incredibly easy to use and build monitors. We were able to get our first monitors running within days of the initial setup which is a credit to the onboarding team that worked with us through the process. We can schedule monitors that alert us to time sensitive data quality issues which allows us to triage and correct issues before they escalate. Monte Carlo offers great out of the box monitors with the option of creating our own SQL monitor’s as well. This gives us the ability to implement more nuanced and complex monitors which have improved our data quality in various areas.
What do you dislike about the product?
Nothing comes to mind and the issues we have encountered have been addresses quickly by the support team.
What problems is the product solving and how is that benefiting you?
We have a small data team so having a tool that quickly highlights data issue before they turn into major issues is paramount. For example, the data quality of our master data is extremely important to our sales team, so we run various check in Monte Carlo every morning to make sure everything is in order before they start there day.
Elite Experience With Monte Carlo
What do you like best about the product?
The Monte Carlo team is very knowledgable and committed to high quality data pipelines and products. They know their prodoct and won't hesitate to tell you if you're heading down the worng track.The product is easy to integrate and use, while providing a wealth of insight. Also the features team is highly receptive to feedback and implements suggestions quickly.
What do you dislike about the product?
Nothing to say here. But there is a minimum word count for this field.
What problems is the product solving and how is that benefiting you?
We require a high degree of trust in our data. Monte Carlo helps us ensure our data is neing delivered at the right time, with the right checks in place to make sure it's of the highest quality.
Intuitive & Reliable
What do you like best about the product?
The platform is intuitive and has saved us a tremendous amount of time on tedious tasks. What I particularly appreciate is how fast-moving the team behind Monte Carlo is. They are constantly rolling out updates and improvements, ensuring that the tool stays ahead of the curve. It’s clear they listen to user feedback and are dedicated to making the product even better. Monte Carlo has not only made our data more reliable and transparent but has also freed up our team to focus on more strategic tasks.
What do you dislike about the product?
In my opinion, Monte Carlo is an excellent tool overall, but one aspect that I find frustrating is the way certain features are packaged. Some functionalities that seem like they should be part of the standard offering are only available at higher pricing tiers. This can be a bit disappointing, especially when these features are essential for fully leveraging the tool.
What problems is the product solving and how is that benefiting you?
Monte Carlo helps identify and resolve data quality issues quickly, ensuring reliable data for analysis and decision making.
Great automated monitoring with room for improvement in custom monitors and documentation
What do you like best about the product?
Monte Carlo automated monitors are really useful for monitoring a large number of tables and capturing the most crucial types of errors (volume, freshness and schema changes). Having this in our company makes it really handy to detect main anomalies.
Addtionally having the possibility of configuring monitors using the UI or via API are very useful for the different stages of development.
Customer support is also great and have a great understanding about data modelling.
Addtionally having the possibility of configuring monitors using the UI or via API are very useful for the different stages of development.
Customer support is also great and have a great understanding about data modelling.
What do you dislike about the product?
Custom Monitors are still a funcionality to be improved in Monte Carlo, overtime you see new features being released and more customisation in the tool. I would appreciate a more detailed documentation about monitor configuration using better examples, different use cases and explaning important concepts like lookback days, run history and results page as well as best pratices on table structure and freshness to take the most out of the tool.
What problems is the product solving and how is that benefiting you?
Monitoring, anomaly detection and alerts on many tables being processed in a daily basis
Taking Data Observability to the next level with Monte Carlo!
What do you like best about the product?
Monte Carlo listens to their customers and is constantly adding new features to meet customer’s needs. It is a true partnership.
New features such as Notifications, Audiences, SQL rules, Tags, and Parameterized Values have allowed us to surface data issues directly to business stakeholders through Monte Carlo’s strong integration with Slack. The end result is improvements in data ownership and data quality.
Monte Carlo is a thought leader in the Data Observability space. They’ve championed metrics such as “data downtime” which is a standard we’re using to measure our success with data quality, trust and reliability.
New features such as Notifications, Audiences, SQL rules, Tags, and Parameterized Values have allowed us to surface data issues directly to business stakeholders through Monte Carlo’s strong integration with Slack. The end result is improvements in data ownership and data quality.
Monte Carlo is a thought leader in the Data Observability space. They’ve championed metrics such as “data downtime” which is a standard we’re using to measure our success with data quality, trust and reliability.
What do you dislike about the product?
I find the navigation to be difficult at times. As a result, I’m often clicking around to find functionality such as reporting or lineage.
What problems is the product solving and how is that benefiting you?
The goal is to catch data quality issues before our key stakeholders do. This is the exact problem Monte Carlo is solving for us. Monte Carlo allows us to get out in front of data issues.
OverAll Good. But, Still needs to be improved a lot.
What do you like best about the product?
Visualisation and capturings are looks good
What do you dislike about the product?
We see some limitations still to add all the filters
What problems is the product solving and how is that benefiting you?
Monitoring the data based on different dimentions i.e. Volume and recency of the data
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