
Monte Carlo Data Observability Platform
Monte Carlo DataReviews from AWS customer
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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.
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.
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