Monte Carlo Data + AI Observability Platform
Monte Carlo DataReviews from AWS customer
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Montecarlo: An amazing Observability platform
What do you like best about the product?
Monitoring errors, alerts is something i use a lot, able to group them quickly search it out.
Implementation with sqls is a bit not too complicated for non sql users.
I use Montecarlo especially for on calls.
Customer support from Mark is really good
Implementation with sqls is a bit not too complicated for non sql users.
I use Montecarlo especially for on calls.
Customer support from Mark is really good
What do you dislike about the product?
I would like to seach alerts based on statements
and cluster alerts across sites.
Also need Monte carlo to support default ML drift detection
and cluster alerts across sites.
Also need Monte carlo to support default ML drift detection
What problems is the product solving and how is that benefiting you?
Issues with snowflake tasks, queries , Jobs
Data Quality Monitoring
What do you like best about the product?
Setting up the alerts, integration and dashboard is easy to use.
What do you dislike about the product?
It takes time to keep on tuning for right param threshold to get the monitor right
What problems is the product solving and how is that benefiting you?
Mainly to keep an eye on the quality of data/features
Great product, clean interface, top notch support
What do you like best about the product?
The interface is very clean an intuitive. Deep integrations give me an overview of our data and pipelines.
What do you dislike about the product?
Some data with high variability is not yet well understood by the ML volume and freshness monitors
What problems is the product solving and how is that benefiting you?
We are able to maintain a high standard of data quality thanks to the monitoring of our ingestions and transformations.
The asset views are useful for anyone who wants to get a feel of how the data changes over time, the volumes etc.
The asset views are useful for anyone who wants to get a feel of how the data changes over time, the volumes etc.
Monte Carlo lets you enforce your system's invariants
What do you like best about the product?
My team has been using Monte Carlo for a few years now and we've come to rely on it for ensuring that our data is what we think it is, which has opened the door for us to use different architectures then we could have otherwise.
As I said in the title, it lets us encode and enforce the invariants we see in our systems without requiring endless handwritten batch tasks or overloading shared resources. Running these queries on our OLTP database would be hugely impractical, if it were even possible, and running them on our data warehouse manually would be a joke. But allowing MC to run them daily means that we can easily add as many as we want and know that, unless we're being alerted, our expectations for the data are accurate.
As I said in the title, it lets us encode and enforce the invariants we see in our systems without requiring endless handwritten batch tasks or overloading shared resources. Running these queries on our OLTP database would be hugely impractical, if it were even possible, and running them on our data warehouse manually would be a joke. But allowing MC to run them daily means that we can easily add as many as we want and know that, unless we're being alerted, our expectations for the data are accurate.
What do you dislike about the product?
Some aspects of the UI are a bit unclear. For example, when making new alerts, syntax errors are not communicated at all, and there's an inexplicably short timeout, which can make testing some larger queries impossible.
What problems is the product solving and how is that benefiting you?
Ensures that our data is in the state we expect. For example, we have a table that's supposed to be in sync with another in a specific way, but that we need to maintain manually. Monte Carlo ensures that, if our code makes a mistake, we can fix it before our batch tasks run with incorrect data. We also have all kinds of SLAs with our partners that Monte Carlo helps us meet by checking daily that all our outputs have been created on time.
Monte Carlo Review
What do you like best about the product?
Querying is very easy and follows SQL. Alerting from queries is a cool use case. Dashboards help track metrics easily.
What do you dislike about the product?
UI is a little complicated and could be prettier.
What problems is the product solving and how is that benefiting you?
We are able to find issues with data quality or logical flaws automatically, then alert engineering asap to resolve the issue.
Monte Carlo
What do you like best about the product?
It helps us detect data quality issues in our systems much sooner than we 'd be able to without it. The UI is mostly intuitive / easy to navigate.
What do you dislike about the product?
The machine learning thresholds can still be a little be unreliable (we still get alerts about things we don't actually need to respond to).
What problems is the product solving and how is that benefiting you?
It helps us recognize if we have irregular data and enables us to fix the underlying issue faster.
Experience with monte carlo is very good. We are able to proactively look into any issues and solve.
What do you like best about the product?
Monte carli is best to proactively work on incidents and solve them before business raise any concern.
What do you dislike about the product?
Sometimes freshness anomolies and volume anomalies are merged under one category.
What problems is the product solving and how is that benefiting you?
Due to monte carlo we are able to practively look into any incident before business raise any concern and solve it to maintain data integrity.
All your monitoring in one place
What do you like best about the product?
The ability to leverage both custom and automated monitoring and integrate with tools like Slack
What do you dislike about the product?
Missing grouping features - would be really useful to be able to group (or search) for related alerts in order to easily clear once the underlying issue has been resolved
What problems is the product solving and how is that benefiting you?
Alerting on failed database ETLs in order to ensure our data latency remains low
It helps me to check that tables are well landed like no other tool
What do you like best about the product?
The notification system is great, and also the integration with other systems such as PowerBI or Snowflake. It helps our company to ensure that tables are well landed, making Data Engineering processes more agile.
What do you dislike about the product?
Probably the Customer support could improve the engagement with our company, helping to get the most out of the tool.
What problems is the product solving and how is that benefiting you?
It allows me to ensure that the tables are well landed into the data warehouse
Good observability tool with some flaws
What do you like best about the product?
It is easy to understand for a Technical user. It has a variety of features that enhance Data Engineering work.
What do you dislike about the product?
The interface cannot be modified depending on user roles. The explanations that Monte Carlo provides are very technical, and business users usually struggle with them.
What problems is the product solving and how is that benefiting you?
It helps me to see how often tables are refreshed.
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