Monte Carlo Data + AI Observability Platform
Monte Carlo DataReviews from AWS customer
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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.
Complete data monitoring and quality tool
What do you like best about the product?
Many features
Integration with Slack is very useful
East of use and implementation
Data Lineage feature is also very useful to understand how all tables are linked together.
Integration with Slack is very useful
East of use and implementation
Data Lineage feature is also very useful to understand how all tables are linked together.
What do you dislike about the product?
Grouping of alerts: sometimes we get too many alerts in our slack channels and it's difficult to isolate them into different channels because a lot of our tables are linked together
What problems is the product solving and how is that benefiting you?
Monitoring & data quality
Helps to see the things we can easily miss
What do you like best about the product?
it learns the system it works on so it can bring unique conclusions. it's really easy to use, you can also look at the linage of a column or a table
What do you dislike about the product?
it took some time to train it but i guess there's no other way
What problems is the product solving and how is that benefiting you?
if something weren't copy from one place to another
if we have unusual movment of data
if something is stuck
if we have unusual movment of data
if something is stuck
A great platform for observability
What do you like best about the product?
I really like the lineage tool. It helps understand the downstream impacts when there is an issue with a given table while also helping finding out the root cause.
The custom monitors are also very easy to set up and provide immediate value
The custom monitors are also very easy to set up and provide immediate value
What do you dislike about the product?
While it's a great product, some features have limitations for example the lineage is not very accurate when there is a COUNT(*) in the query, considering all the fields are used in the query.
What problems is the product solving and how is that benefiting you?
The main problem it's solving for us, is the identification of data issues before our stakeholders can see them. In the past, it was stakeholders noticing something wrong in a dashboard. Now, if we have an issue with incoming data, Montecarlo is going to alert us straight away.
It also makes the investigations of data issues much easier.
It also makes the investigations of data issues much easier.
Product Functionalities
What do you like best about the product?
Anamolies raised by MC to take immediate action on what happening at our data side
What do you dislike about the product?
Nothing as of now.Tool is working as per information whatvever I need
What problems is the product solving and how is that benefiting you?
Find out the root causes very easily by seeing the alerts from MC and take immediate action.
I appreciate and value Monte Carlo as a valuable part of Data Governance.
What do you like best about the product?
I like Assets, Table Lineage and Monitors. I use them in my day to day work and it's important part of Data Governance stack in our company.
What do you dislike about the product?
I dislike that I have to purchase multiple different integrations separately, for example PostgreSQL and Redshift connector that should be almost the same technically. Also, it is hard ti push any features if you are not Top Tier customer.
What problems is the product solving and how is that benefiting you?
We ran 3000+ Monitors every day and build incident management system above that. Also, it helps us find any asset and the owner that is crutial when you have thousands of tables and views.
Monte Carlo for incident alerts
What do you like best about the product?
* Incident monitorring capability
* Anomalies detection
* Anomalies detection
What do you dislike about the product?
It's a bit slow to open the details about the incident
What problems is the product solving and how is that benefiting you?
* Incident detection
* Anomaly detection
* Anomaly detection
Monte Carlo is the trusted tool our data engineering team relies on to ensure data quality!
What do you like best about the product?
One of the things I really appreciate about Monte Carlo is its automated, out-of-the-box monitors powered by anomaly detection, which learn from our data patterns and alert us to irregularities. It has quickly become an indispensable tool for uncovering unknown data quality issues in our daily operations.
What do you dislike about the product?
Monte Carlo is less effective for infrequently updated data, such as bi-weekly, monthly, or quarterly datasets, as the out-of-the-box monitors are not designed to support these use-cases. While custom monitors can address this, they sacrifice scalability, reducing the tool's overall usability for these use cases.
What problems is the product solving and how is that benefiting you?
- Detecting and resolving anomalies like missing, duplicated, or corrupted data.
- Minimizing periods when data is unreliable or unavailable.
- Ensuring schema, volume, and freshness changes do not go unnoticed.
- Automating data monitoring across complex, large-scale ecosystems.
- Building confidence in data reliability for decision-making.
- Providing timely alerts to proactively address data-related incidents.
- Minimizing periods when data is unreliable or unavailable.
- Ensuring schema, volume, and freshness changes do not go unnoticed.
- Automating data monitoring across complex, large-scale ecosystems.
- Building confidence in data reliability for decision-making.
- Providing timely alerts to proactively address data-related incidents.
Its a great tool to have if used properly
What do you like best about the product?
Custom sql alerts
Tags and audiences feature
Dashboard
Tags and audiences feature
Dashboard
What do you dislike about the product?
Sometimes it gets buggy
Things keep changing
Things keep changing
What problems is the product solving and how is that benefiting you?
Data monitoring for our data assets in the entire organization
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