Monte Carlo Data Observability Platform
Monte Carlo DataReviews from AWS customer
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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.
Lead Engineer
What do you like best about the product?
It does what it says it does, straight out of the box, little to no configuration required from our side
What do you dislike about the product?
It's relatively new, and therefore changes happen frequently, 9/10 times this is good as it brings additional features, but it can mean having to relearn
What problems is the product solving and how is that benefiting you?
It's helping support our entire data platform that is used across the company
Easily set up a much needed monitoring system.
What do you like best about the product?
Monte Carlo has a very easy to use UI and out of the box alerts/monitors.
What do you dislike about the product?
It takes a very long time for the machine learning models to calibrate and start sending alerts.
What problems is the product solving and how is that benefiting you?
I needed a way to be alerted to any database problems before they affected any stakeholders.
Great product!
What do you like best about the product?
Easy to use. Integrated with Slack and SQL for custom rules. ML is pretty good at detecting anomolies
What do you dislike about the product?
I was going to write "Nothing!" in this box, but the minimum character requirement is making me write nothing with many more words :|
What problems is the product solving and how is that benefiting you?
We need to proactively identify changes in our datasets, as well as have custom alerting based on table outputs that alerts us in Slack
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