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review monte carlo
What do you like best about the product?
helped us find the bug in our code that has improved product
What do you dislike about the product?
Not really, has worked well for our teams. perhaps too many alerts
What problems is the product solving and how is that benefiting you?
helps us find issue in data quality
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Scalable data quality with Monte Carlo
What do you like best about the product?
A scalable way to test the data quality. It learns how to test you data efficient. I also is the perfect tool to bring the data quality responsibility to the business teams
What do you dislike about the product?
Pricing model is on tables that you want to monitor. Hard to know in advance what is a good number of tables.
What problems is the product solving and how is that benefiting you?
Managing all the data quality test by the data team cost a lot of time and Monte Carlo reduces this. It also brings the data quality close to the business people that should be responsible for this and that are the ones that can influence the data quality. It monitors also the data warehouse on a large scale this results in confidence of building solid data products.
Monte Carlo finds the needle in a haystack
What do you like best about the product?
1) Ease of set-up - Out-of-the-box monitors for freshness, volume, and schema start training as soon as the MC service principal has access to the tables.
2) Effective Visuals – Results and Incident are visually appealing, but most importantly they present the data in a way that can be easily consumed. The percent increase or decrease for a metric is presented over days or weeks aside the row counts to give context.
3) Seamless Slack integration – It is quick to set-up MC monitor notifications via Slack channels. Responses written in Slack are saved to Monte Carlo, saving time and effort.
4) Low noise - MC keeps the noise level down. False-positive issues are not as common as found in other tools.
5) Customer support - MC hands-down has the best customer support. Their team feels part of our own. They have learned the nuances of our data. They respond quickly to all questions and concerns. Suggestions that we have made about the tool have been implemented (quickly). They are constantly evolving the tool to make it even better.
2) Effective Visuals – Results and Incident are visually appealing, but most importantly they present the data in a way that can be easily consumed. The percent increase or decrease for a metric is presented over days or weeks aside the row counts to give context.
3) Seamless Slack integration – It is quick to set-up MC monitor notifications via Slack channels. Responses written in Slack are saved to Monte Carlo, saving time and effort.
4) Low noise - MC keeps the noise level down. False-positive issues are not as common as found in other tools.
5) Customer support - MC hands-down has the best customer support. Their team feels part of our own. They have learned the nuances of our data. They respond quickly to all questions and concerns. Suggestions that we have made about the tool have been implemented (quickly). They are constantly evolving the tool to make it even better.
What do you dislike about the product?
We have many custom monitors. We can effectively see and manage these monitors in the Monte Carlo tool. On our wish list, we would also like to see these monitors by schedule time.
What problems is the product solving and how is that benefiting you?
Monte Carlo helps us identify bugs and data freshness issues quickly, enabling teams to fix the problems faster. Having a quicker turnaround saves the company money by having less data loss and backfills. Better data equals better decisions.
MC User review
What do you like best about the product?
- Ease of use and help company attain data qualiry
What do you dislike about the product?
wish there were a time associated in the monitor, and not just the date.
What problems is the product solving and how is that benefiting you?
Helps us know when the job is not completed, and data not being loaded.
Review Monte carlo tool
What do you like best about the product?
volume and freshness monitor are real easy to use
What do you dislike about the product?
it is pretty cool to use and help us find defercts
What problems is the product solving and how is that benefiting you?
It is helping us fix the defects right away.
The Monte Carlo experience from a blue ocean user
What do you like best about the product?
The best part about Monte Carlo is the intuiative GUI. Wiithin minutes you can create data metrics for every field, or combination of sql joining commands, or even dimension mapping. In prior tools, accomplishing these tasks would have taken days.
Another positive is the way that the MC team listens to problems and seeks to address issues within the next release or so.
Another positive is the way that the MC team listens to problems and seeks to address issues within the next release or so.
What do you dislike about the product?
One of the biggest drawback is how tables in a schema are charges to customers. If I have a schema that houses 100 tables, but I only want to use 10, I am charged for the entire schema.
I would like to be able to select certain tables from a schema and only be charged for that subset.
I would like to be able to select certain tables from a schema and only be charged for that subset.
What problems is the product solving and how is that benefiting you?
We are using Monte Carlo to implement data quality metrics across all of our platforms. By having these measurements in place, we can identify data gaps, outages, or improper data flows immediately and escalate to the proper team for resolution.
I have been using Monte Carlo to create monitor alerts.
What do you like best about the product?
It's options for creating so many different types of monitor alerts including the Custom SQL alert
What do you dislike about the product?
Nothing as such. But there's a scope for improvemt in Refrential Integrity alerts and Dimensional Tracking alerts
What problems is the product solving and how is that benefiting you?
Giving us alerts when there's any anomaly idenified int he data.
Monte Carlo is a staple for my platform
What do you like best about the product?
Super reliable, highlights problems for us way before they impact my stakeholders.
What do you dislike about the product?
Not much - one nice to have would be to see real recent queries when looking at a Table in Assets.
What problems is the product solving and how is that benefiting you?
Alerting on data surprises. Catching issues at the last mile, resulting in fixes upstream to prevent us from being alerted again. Pushes ownership upstream to the right teams closer to the source of data.
Best in class data quality tool
What do you like best about the product?
Monte Carlo default monitors make sure you don't miss any anomaly in your data. Specially of help are that they also work with field segmentation.
What do you dislike about the product?
The only way to integrate with Monte Carlo right now is through Redshift. If there was an API/SDK so we could send data or sampled data we would be able to monitor other data sources such as Kafka.
What problems is the product solving and how is that benefiting you?
Monte Carlo allows us to detect and prevent problems with our data because of problems in our infrastructure.
Convenient and Efficient
What do you like best about the product?
I appreciate its simplicity and how intuitive it is
What do you dislike about the product?
Not much . I think there is no option to set threshold between two values.
What problems is the product solving and how is that benefiting you?
it alerts when processes are failing.
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