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A good tool to have
What do you like best about the product?
It helps us to do anomaly detection pretty easily and discover a lot of errors we wouldn't otherwise.
What do you dislike about the product?
Sometimes one wishes to have more integrations to have end to end quality tests. It doesn't support crossed soures lineage (data sharing)
What problems is the product solving and how is that benefiting you?
* Knowing which assets have data quality issues
* Knowing where this quality issues come from
* Knowing where the data issue is being propagated
* Knowing where this quality issues come from
* Knowing where the data issue is being propagated
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Alerts are a must
What do you like best about the product?
The "automatic" alerts MonteCarlo provides help us a lot to address data quality issues.
What do you dislike about the product?
No support for Redshift data sharing and databases built on top of datashares as of today.
What problems is the product solving and how is that benefiting you?
We can be proactive when issues arise instead of being reactive and we can alert business before they find the problems, increasing trust in our team.
Monte Carlo is a game changer for data observability in the modern data stack
What do you like best about the product?
The automated data monitoring and anomoly detection as added more value than even a small team of humans ever could for us. The automated monitoring has become a crucial tool for us in understanding our data health, lineage, and reliability, ensuring high data integrity across the ecosystem. Additionally, Monte Carlo excels in proactive incident management, with robust alerting mechanisms that have enabled us to swiftly address and resolve issues, thereby minimizing operational impact. The ease of implementation with data sources and integration with communication tools (Slack!), provides us with actual real-time insights in not only our pipeline health, but also resolution of issues.
What do you dislike about the product?
The user-interface can be a little confusing in some of the more advanced features of the app, but the user support team is always extremely responsive to questions.
What problems is the product solving and how is that benefiting you?
The automated anomoly detection and data monitoring provides a robust but generalized testing harness which means we don't need to worry that our pipeline might fail because we weren't aware of a issue brewing due to missed tests during model development. Monte Carlo also provides a very slick intergration with Slack which we use to manage incidents. We have dedicated channels setup for incident priority, and individual users are alerted on specific monitors. From there, users can apply or review status flags directly to an incident without needing to open the UI. This process alone has saved us an immense amount of time and resources.
Matured Data observability tool
What do you like best about the product?
Automated alerts based on ML prediction and ease of scalling
What do you dislike about the product?
UI still can be improvised, sometimes I feel lot of information are shown on UI and hard for user to navigate
What problems is the product solving and how is that benefiting you?
Currently it is helping us to detect pipeline downtime by raising data freshness issues
Good, convenient, fast product
What do you like best about the product?
Convenient flexible setup of monitors and alerts; custom SQL covers almost all needs. The Table Lineage section is very convenient and useful. Good support.
What do you dislike about the product?
Lack of timestamp parameterization for monitor launches.
Not very convenient display of Tableau workbooks in the Lineage and Assets - Report sections.
And it would be convenient to have the ability to import descriptions for table and fields from Redshift data warehouse
Not very convenient display of Tableau workbooks in the Lineage and Assets - Report sections.
And it would be convenient to have the ability to import descriptions for table and fields from Redshift data warehouse
What problems is the product solving and how is that benefiting you?
Fast and convenient setup of automatic monitoring and user notification
Broad feature set, does what it says on the tin
What do you like best about the product?
Reduces pipeline complexity to actionable insights. Broad set of integrations. Love the API.
What do you dislike about the product?
Keep working on the UI/UX - UI could be more sleek.
What problems is the product solving and how is that benefiting you?
Detecting and reporting silent failures in a timely manner
Anomaly detection you would never detect without Monte Carlo
What do you like best about the product?
The few configuration necessary to get started. Monte Carlo really is a smart tool working on his own, and I find this great.
What do you dislike about the product?
The lack of Monitor as Code capabilities. OPS Analytics aims to have all conf stored as code (Terraform)
The lack of the possibility to control monitored/observable assets easily.
The lack of the possibility to control monitored/observable assets easily.
What problems is the product solving and how is that benefiting you?
Detect anomalies before end-users find about them in their dashboard.
Save time on resolution using insights.
Save time on resolution using insights.
Useful monitoring tool
What do you like best about the product?
Slack updates and alerts on data model changes, possible errors, delayed updates, etc. It's a convenient way, espescially for data consumers, to keep an eye on the health of the pipeline and the freshness of the data they are using.
What do you dislike about the product?
There is the usual problem of alert fatigue, but that's not surprising. What is more difficult is that when a model does not update, or when a test fails, that the actual source is harder to pinpoint. There is not a clear way to see what caused an error, or why.
There have also been issues where resolutions of errors are not reported.
There have also been issues where resolutions of errors are not reported.
What problems is the product solving and how is that benefiting you?
Most usefully it is wide scale alerts when there are database issues. Recent developments like linking alerts to git PRs is also a good step in the right direction, although it could be smarter. For example, if a model fails downstream because of a PR change that isn't always picked up as related.
Good product experience with help in data observability and job monitoring
What do you like best about the product?
Notifications -- Slack channels help and GUI is user friendly
What do you dislike about the product?
Data lineage support - Per our architectire we need to look through columns usage in various reports and tables. Having data lineage support would be very helpful.
What problems is the product solving and how is that benefiting you?
Data gaps, when a regular job didnt load the data per schedule.
Schema changes - New data columns started flowing
Data Anamolies
Schema changes - New data columns started flowing
Data Anamolies
Easy monitoring
What do you like best about the product?
The builtin monitors have a good coverage, and the database is quite good monitored with not much effort. Also the custom monitors are easy to implement.
What do you dislike about the product?
It is being quite painful to create alerts and domains containing a large number of tables, especially from different databases. That said, once everything is created works fine.
I miss an api to just changing something or adding tables to a domain, Update instead or CreateorUpdate, without the need of adding all the assests each time.
I miss an api to just changing something or adding tables to a domain, Update instead or CreateorUpdate, without the need of adding all the assests each time.
What problems is the product solving and how is that benefiting you?
Mainly the freshness of the Analytics sources, as we are not the owners and had not visibility until the data reached to Analytics
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