Monte Carlo Data + AI Observability Platform
Monte Carlo DataReviews from AWS customer
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Great tool for data alerting
What do you like best about the product?
Monte carlo is a great tool for orgs looking to preemptively identify issues in their data ecosystem for critical areas.
What do you dislike about the product?
I think that there needs to be more information about why certain softwares aren't included as integration points for all features.
What problems is the product solving and how is that benefiting you?
Preemptively identifying issues in the data pipelines before they impact issues.
Easy to configure, allowed a quick migration
What do you like best about the product?
It's flexibility on the configuration side, we had already a set of DQ queries in use on a previous system and it was quite easy to migrate. Also the out of the box integration with slack.
What do you dislike about the product?
The UI could be more appealing and simple, the UX is a bit confusing when starting.
What problems is the product solving and how is that benefiting you?
We need to monitor data quality on our CRM platform, rules need to join different sources/date models. Monte Carlo can do that, it also manages the scheduling and notifications to Slack.
A great tool for troubleshooting and tracking changes
What do you like best about the product?
I really Like the ability of the custom query it allows me to create my own flexibility testing
What do you dislike about the product?
I am missing the ability to use AI to suggest testing options based on the process relevant to me.
What problems is the product solving and how is that benefiting you?
The Monte Carlo alarms me when an issue is across and allows me to be proactive instead of reactive
Useful for catching data inconsistencies
What do you like best about the product?
It is easy to use and you can create your alerts using SQL
What do you dislike about the product?
Not sure you can create alerts based on non SQL data sources
What problems is the product solving and how is that benefiting you?
Finding inconsistencies in our data and alerting when something is out of sorts early.
Great
What do you like best about the product?
the anomally detection is great. like the number of rows changes etc
What do you dislike about the product?
the mengment of the alerts. its too messy when we have a lot
What problems is the product solving and how is that benefiting you?
make sure all our processes are running and updated correctly.
if there is no size for a table its alerting me
if there is no size for a table its alerting me
A tool to make alerts useful again and prevent fatigue
What do you like best about the product?
I really like MonteCarlo's alert fatigue management, it makes it so that we can have our team focus on what is important without looking constantly at fake alarms in slack. Monte carlo's ability to separate the lineage for each one of the fields in our snowflake tables is an amazing feature that let's me identify when something can be modified without breaking downstream pipelines or letting me know who to notify.
What do you dislike about the product?
Monte Carlo is a paid for tool, it would be good if it could have a free-mium version so that persons outside my organization could give it a try and see if it would fit their needs, or at least have some prior knowledge of the tool before entering the organization. It's harder to onboard someone when you have to teach them everything at once and they don't have a chance to try out the tool.
What problems is the product solving and how is that benefiting you?
Montecarlo is solving an issue where we as analysts wouldn't be able to keep track of issues or changes in our data and is effectively reducing the ammount of manual work we need to do.
A great platform for getting everyone testing their data
What do you like best about the product?
Monte Carlo has been a great success for our company, because it makes it easy for users from anywhere in the company to monitor and triage data issues that affect them directly. Monte Carlo gives every user the ability to configure custom tests or to allow Monte Carlo to simply learn about your data and notify you when something looks wrong.
All of this while offering great access controls and auditing capabilities.
All of this while offering great access controls and auditing capabilities.
What do you dislike about the product?
At times the permissioning can be a a bit blunt and took us some time to get the hang of when giving users access to the right data and tests.
What problems is the product solving and how is that benefiting you?
Data tests and data issues aren't stuck inside the data team, but are accessible to any data user. This has enabled teams to add data testing into core operational workflows and caught a number of issues before they became really troubling.
Easy to set up
What do you like best about the product?
It's easy to set up new alerts based on SQL queries
What do you dislike about the product?
It would be nice to boost the integration to create tickets in JIRA and give more flexibility on alert creation and debugging queries.
What problems is the product solving and how is that benefiting you?
Monitoring our database through Slack is very simple with Monte Carlo: easy to set up using a simple SQL query.
Montecarlo is my alerting tool to spot outlier in my database
What do you like best about the product?
I link its ease of use. The simple connection to the db (I did not work on the setup)
What do you dislike about the product?
I would prefere monte carlo if it we could create SQL query in a more sandbox way. I not a fan of the built in feature in monte carlo like threshold definition, row counts etc...
What problems is the product solving and how is that benefiting you?
I use monte carlo to spot outliers in my database. I also use it to montire data distribution shift
Visibily in the darkest table
What do you like best about the product?
Very good anomaly detection, MC points you to the places where something could be going wrong. It's easy to use and the setup has become pretty easy by now. Good feature set. Excellent support and also a good feedback culture. It's fast enough to look into it daily. Integrates fine with Redshift and dbt.
What do you dislike about the product?
I miss exclusions of data sets by regex which would be nice to have to development schemas. Also, notification configuration is a bit clumsy.
What problems is the product solving and how is that benefiting you?
To know about data issues before the users do.
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