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Great tool, can be greater!
What do you like best about the product?
1. Capability to alert on Data criteria
2. Integration with Slack, PagerDuty
3. Good metrics on alerts
2. Integration with Slack, PagerDuty
3. Good metrics on alerts
What do you dislike about the product?
1. The AI tool to generate SQL is often misleading, for ex: Date formats in the query, query suggestion when trying to access Json field values etc., def area for improvement
What problems is the product solving and how is that benefiting you?
Data observability,
1. Has the admins been paid for the sales happened T-1
2. Do we have any payments even though the loan is closed
3. did we send the insurance file?
4. Have the invoices been generated for all the sales from previous day
1. Has the admins been paid for the sales happened T-1
2. Do we have any payments even though the loan is closed
3. did we send the insurance file?
4. Have the invoices been generated for all the sales from previous day
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Best Data Observability platform
What do you like best about the product?
Montecarlo helped us a lot to identify anamolies in our data pipelines it also helped us identify data quality issues before hand so were able to take action and remediate even before business got impacted
What do you dislike about the product?
I have not found any down sides as of today, i have been using the product since a year and half
What problems is the product solving and how is that benefiting you?
Observability for the 3.6 PB data we have
Great data monitoring tool
What do you like best about the product?
I like the flexibility it gives to monitor data and set custom rules via coding
What do you dislike about the product?
Hard to integrate with SAP directly.....
What problems is the product solving and how is that benefiting you?
Identifying data quality issues based on business rules
Monte Carlo Monitors
What do you like best about the product?
I love the ability to customize my monitors. They are very user friendly, and work perfectly with my SQL queries.
What do you dislike about the product?
I would like some new ability within monitors to include the ability to return more customizable result sets. Currently I return a result if it hits row count limits.
What problems is the product solving and how is that benefiting you?
Monte Carlo solves the ability to not have to check my queries myself on a daily basis. For things that I need results on when specific limits are hit, I can take action when I know there is an issue. It provides me the ability to focus my time and energy in other areas, until needed for the returned results.
Outstanding offerings with great out of the box settings
What do you like best about the product?
Monte Carlo is a one stop shop for data quality monitoring. It's so easy to add monitors and create alerting on your data so that relevant parties know when anomalies occur. Frequently, Monte Carlo informs our organization about failures that are several hops upstream of the Data Warehouse.
My favorite thing about Monte Carlo is that the out of the box (default) monitors it runs are extremely useful and intuitive.
My favorite thing about Monte Carlo is that the out of the box (default) monitors it runs are extremely useful and intuitive.
What do you dislike about the product?
Honestly nothing- we've found Monte Carlo to be unbelievably helpful with little downside (except maybe cost, but having data quality monitoring requires running queries in the warehouse necessarily).
What problems is the product solving and how is that benefiting you?
Monte Carlo primarily gives us a monitoring platform that informs us about data anomalies. We run a small number of data quality checks as well to ensure the correctness of that data.
Monte Carlo is also extremely helpful as an observability platform- the lineage features are a boon to our team. As a data engineer, I especially benefit from identifying object dependencies in our warehouse environment.
Monte Carlo is also extremely helpful as an observability platform- the lineage features are a boon to our team. As a data engineer, I especially benefit from identifying object dependencies in our warehouse environment.
senior data engneer in thrivepet health.Using monte carlo for tracking our daily loads
What do you like best about the product?
It is very easy to use,very readable,detail information about issues.
What do you dislike about the product?
so far didn't find any noticeable downside
What problems is the product solving and how is that benefiting you?
It is making our monitoring the jobs process very easy.It tracks all the information like metadata change,data volume change,any wrong sql statements,timeout issues etc and also gives the exact information about failure point which is helping a lot to save the research time.
Not great
What do you like best about the product?
Monte Carlo's automated monitors effectively oversee large datasets, capturing critical errors like volume, freshness, and schema changes. This functionality makes detecting anomalies straightforward. The flexibility to configure monitors via UI or API enhances its utility across different development stages. Additionally, the customer support is exceptional, with a strong understanding of data modeling.
What do you dislike about the product?
While Monte Carlo is straightforward to implement, making it effective requires careful consideration. The tool can generate numerous alerts depending on data size and scope, leading to potential overwhelm if not properly managed. It's crucial to define what needs monitoring, establish tiers of alert severity, and determine how to respond to different alert levels. To maximize Monte Carlo's value, you should thoughtfully integrate it with your existing Data Quality, Data Governance, and Triage processes, ensuring alerts are balanced to avoid overload or underutilization.
What problems is the product solving and how is that benefiting you?
I receive real-time alerts when anomalies or errors are detected. This proactive approach allows me to address issues before they impact my analysis or reporting, saving time and preventing potential disruptions.
Data Engineer experience
What do you like best about the product?
I like the capability to check on different anomalies in the data, for example when values are unusual and how it maps the etl process and dependencies
What do you dislike about the product?
I filtering of the dates, is hard to confuse the days.
What problems is the product solving and how is that benefiting you?
We see table that have not been loading that helps us investigate why the stored proc is not running
Very positive experience
What do you like best about the product?
Helped us build a data quality dashboard
What do you dislike about the product?
Customisation is still in the early stages.
What problems is the product solving and how is that benefiting you?
It is helping us quickly identifying data quality issues. This is benefitting us through quicker and more efficient approach to solving issues.
Extremely flexible for anomaly and trending detection
What do you like best about the product?
To create unique queries that are applicable to our business use-cases; we can use standardized templates but for trending and business performance metrics, creating our own query with our own historical time frames as reference is critical.
What do you dislike about the product?
I may have not figured out how to do this yet but for anomaly detection, our business can have a 'if this then that scenario' so 0% is not always going to be the case, but 1% could also be wrong - its almost on a case by case review and I haven't figured out how to manage that yet.
What problems is the product solving and how is that benefiting you?
Right now, trending & anomaly detection
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