Monte Carlo Data Observability Platform
Monte Carlo DataReviews from AWS customer
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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
data engineer
What do you like best about the product?
the fact that 100% of my tables are monitored, that all thresholds can be dynamically configured by the ML, and the UI is super easy to use it makes debugging easy
What do you dislike about the product?
- no slack owner assignments
- queries that are sent to Snowflake are not optimized
- no monitoring on read query performance
0 lineage is too much, and hard to navigate and filter out assets, and when I filtered out assets, except that nothing would be there, and the screen would adjust
- queries that are sent to Snowflake are not optimized
- no monitoring on read query performance
0 lineage is too much, and hard to navigate and filter out assets, and when I filtered out assets, except that nothing would be there, and the screen would adjust
What problems is the product solving and how is that benefiting you?
monitoring all data
Monte Carlo provide reliable and accurate data observability to our data stack.
What do you like best about the product?
I like the most about Monte Carlo is the Automated Monitoring functionality. Because it remove the hassles of need to create monitor for each tables, by automatically applied the Freshness, Volume and Schema change monitor to any new table imported to our database.
What do you dislike about the product?
Most dislike is its UI. I feel that the UI is not inituitive. Eg;
What problems is the product solving and how is that benefiting you?
Monte Carlo help to automates thousand of tables in our databases. It provide a consistent observability and come with multiple monitoring option. Plus we can integrate Monte Carlo to our Slack channel to provide alert to our team. With Monte Carlo, we dont need manually create a custom SQL script for our tables, as Monte Carlo helps to automate those task
Very easy to onboard with an excellent team that tailors their work to our success
What do you like best about the product?
Monte Carlo is very easy to use and connecting it to our stack was fairly simple. The documentation on their university allowed us to operate at scale, we only needed core employees to have access to live sessions and they quickly got up to speed to train others.
The fact that we can get immediate support using slack, email or any other channel, with instant feedback, gave us that extra reassurance that we were going to be well cared.
On top of that, Monte Carlo has a lot of monitoring features that make our life easier and point us in the right direction in the journey of improving our data observability experience.
The fact that we can get immediate support using slack, email or any other channel, with instant feedback, gave us that extra reassurance that we were going to be well cared.
On top of that, Monte Carlo has a lot of monitoring features that make our life easier and point us in the right direction in the journey of improving our data observability experience.
What do you dislike about the product?
The fact that we can create monitors "as code" / via API is awesome, but they are not compatible with the visual configuration interface, meaning that we are not able to automate the release of new tables with automatic monitors and, at the same time, allow less technical people to tune the monitors from an easier interface. This is not a deal breaker and is definitely in their long term roadmap, but not release yet
What problems is the product solving and how is that benefiting you?
Decrease SLA for MTRR (time to detect and fix) for data problems in production
Improve the data trustworthiness with data product owners
Scale the number of data products without increasing the number of people to upkeep them
Improve the data trustworthiness with data product owners
Scale the number of data products without increasing the number of people to upkeep them
Great onboarding processes, fast communication, continues development - new features each month
What do you like best about the product?
Monte Carlo enabled us to quickly integrate data quality into our data pipelines. Their onboarding process was briliant and helped us alot in understanding of data quality issues. Additionaly their platform is very mature in features and while providing great UI it also provides API's that can be used to incorporate those features programmatically.
What do you dislike about the product?
Lack of terraform provider to enable Infrastructure as a Code integration.
API limits are very low but can extended by contacting customer support.
Missing clean and concise tracking of raised issues and requested features.
API limits are very low but can extended by contacting customer support.
Missing clean and concise tracking of raised issues and requested features.
What problems is the product solving and how is that benefiting you?
Data quality in data pipelines. Data lineage. Notification framework enabling fast and reliable information directly to the data producers/consumers/stakeholders.
Easy to use observability tool
What do you like best about the product?
Non technical people can start using it with just basic sql knowledge.
What do you dislike about the product?
The commercial model that pushes you to pay for assets you do not necessarily want to track.
What problems is the product solving and how is that benefiting you?
It allows you to track your data assests with very low effort.
Administering the MonteCarlo tool in a Pharmaceutical company
What do you like best about the product?
- customer support is highly responsive, active and eager to help
- programmatic resources like Monitors as Code, API that enable plugging MonteCarlo in CI/CD pipelines
- graphical representation of incidents, data flows and patterns
- data products feature
- programmatic resources like Monitors as Code, API that enable plugging MonteCarlo in CI/CD pipelines
- graphical representation of incidents, data flows and patterns
- data products feature
What do you dislike about the product?
- documentation on the API usage around getting the results of monitors, triggering the monitors programmatically could have more examples
What problems is the product solving and how is that benefiting you?
Team that I work with is able to easily apply the data quality metrics and spot the data anomalies or data flow incosistencies way easier than before.
Great solution for data observability
What do you like best about the product?
- The tool overall works great. Offered features are enough to cover wide spread of use-cases.
- The team is also great. We've always had very quick response to our support requests.
- Automation features are the best. We've set up almost everything using code, which makes resources easily manageable.
- They are very open for feature requests and deliver them relatively quickly. We requested monitoring support nested fields and structs, which was implemented within weeks.
- The team is also great. We've always had very quick response to our support requests.
- Automation features are the best. We've set up almost everything using code, which makes resources easily manageable.
- They are very open for feature requests and deliver them relatively quickly. We requested monitoring support nested fields and structs, which was implemented within weeks.
What do you dislike about the product?
- We had some headache during Databricks integration, which was mostly caused by our platform not being Unity enabled yet. But with support, we've dealt with all the issues.
- There is a blocklist feature which works on schema level. It would be great if we could block table level access with that feature.
- There is a blocklist feature which works on schema level. It would be great if we could block table level access with that feature.
What problems is the product solving and how is that benefiting you?
We're leveraging its anomaly detection capabilities to great extend. Almost all our pipelines and tables are monitored for various use-cases. It works much better than some alternatives we've used.
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