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Awesome tool for data governance and insights
What do you like best about the product?
This is an awesome tool forr data governance and insights. ML powered monitoring helps in catch any anamolies or mismatches. Also has a pretty good data lineage solution. The inbuilt custom monitoring solution is very help full if you want to build something specific to your use case. The suppport is very good. Its very easy to use and implementation is a breeze. I use this pretty much daily.
What do you dislike about the product?
The data lineage solution needs to improve more and if it can integrate with other databases would be really awesome.
What problems is the product solving and how is that benefiting you?
MC helps us pretty much in catch any data anomolies.
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Working on a daily basis with MC
What do you like best about the product?
It is very simple, it has out-of-the-box great features, generates insight, and the support is very good
What do you dislike about the product?
Not many data sources it support. we wish it had more integration with other DBs
What problems is the product solving and how is that benefiting you?
It allows my team and me to monitor our data assets very easily.
Direct us to areas where we have issues and respond to and resolve them faster than before.
Direct us to areas where we have issues and respond to and resolve them faster than before.
Montecarlo feedback
What do you like best about the product?
Potente user interface
Facilidad de implementacion e integracion
Facilidad de implementacion e integracion
What do you dislike about the product?
Notificaciones y personalizacion
100% observability, as this is part of Data Governance, more functionality would be appreciated
100% observability, as this is part of Data Governance, more functionality would be appreciated
What problems is the product solving and how is that benefiting you?
Para equipos de data engineering, todos los monitores son muy utiles. Freshness, volume and schema changes are very valuable
Excellent tool with good interface, allowing for instant reaction to data issues
What do you like best about the product?
Swift integration with Slack. Ease of configuration for the monitors, clearly made with data engineers in mind but also usable by less experienced users.
Good customer support.
We use this tool daily, with hundreds of pipelines there always is something to check.
Good customer support.
We use this tool daily, with hundreds of pipelines there always is something to check.
What do you dislike about the product?
It takes a while to fine tune the alerts, some tables don't lend themselves much to automatic AI recognition of their thresholds
What problems is the product solving and how is that benefiting you?
Finding data anomalies which can depend on many factors. MC is agnostic and we can set up monitors to understand if the problem is in the data source or in our pipelines.
Great out of the box functionality and insights presented in an accessible way
What do you like best about the product?
Very low bar to entry via easy set up providing large number of insights right out of the box
What do you dislike about the product?
Can be difficult to stay on top of alerts and ensure they are being addressed, but is more of an organisational problem
What problems is the product solving and how is that benefiting you?
* Enabling fast time to resolution for data issues reducing internal customer complaints on timeliness of dashboards and internal processes
* Highlighting and allowing tracing of issues which may never have been spotted or only come to light much later such as unusual traffic patterns / data growth which point to other tech issues which need to be addressed. This can help avoid bad business decision making related to bad data.
* Highlighting and allowing tracing of issues which may never have been spotted or only come to light much later such as unusual traffic patterns / data growth which point to other tech issues which need to be addressed. This can help avoid bad business decision making related to bad data.
MonteCarlo best data observation and inspection tool
What do you like best about the product?
This tool provides customised interface where we can create our own monitors and also both options available to create monitor using code and web ui....
There are multiple features including different default monitors.
There are multiple features including different default monitors.
What do you dislike about the product?
In our case there is no any option available to test code in dev, There is directly prod env and only there we can create and test our monitor.
There is no any option where we can track past row count of source side.
There is no any option where we can track past row count of source side.
What problems is the product solving and how is that benefiting you?
This tool helps us to understand table behaviour and gives alerts if table data is changed or table schema changed or anything suspecius happened with table. This table reduces our time and we dont need to monitor all tables on daily basis, This tool gives alart if any rule breaches. There are multiple anomalies catagories like Schema change, Volume Anomaly, Freshness anomaly, SQL breach rule anomaly and meny other similar anomalies are there which helps us to monitor frequently.
Also there is feature where we can create custom monitors according to our requirement which help us to monitor difficult cases as well
Also there is feature where we can create custom monitors according to our requirement which help us to monitor difficult cases as well
Montecarlo improved availability with better SLA
What do you like best about the product?
Montecarlo seamlessly integrates with database and Integration tools to bring imformation and incedents in single place. Very easy to monitor end to end data flow to provide quality data to users.
Montecarlo customer support is excellent.
Montecarlo customer support is excellent.
What do you dislike about the product?
1. not able to import or export table list to excel.
2. not able to select tables while onboarding to MC. every table is imported
2. not able to select tables while onboarding to MC. every table is imported
What problems is the product solving and how is that benefiting you?
we are able to identify and data anomolies better like volume change/schema change/freshness. ability to create tickets and track the progress in one place is very useful.
MC Experience
What do you like best about the product?
automated ML based monitoring for volume and freshness; custom/opt in monitors for specific DQ checks
What do you dislike about the product?
false positives; keeping up with rapid changes in the product enviroment can be challenging; some integrations / features must be implemented via CLI, GUI bases is preferred
What problems is the product solving and how is that benefiting you?
Identifying volume and freshness anomolies, performance monitoring, custom/opt in monitors for specific DQ checks
Monte Carlo is an awesome toll for Data Quality and Observability
What do you like best about the product?
Its an great tool to define the DQ rules
The Dahsboards are very intutive and easy to track incidents
Freshness & volume Monitors are very helpful
its userfriendy UI makes it easy to use the tool
The seamless integration with other techstack
The Dahsboards are very intutive and easy to track incidents
Freshness & volume Monitors are very helpful
its userfriendy UI makes it easy to use the tool
The seamless integration with other techstack
What do you dislike about the product?
The time takes to trains the models is bit
What problems is the product solving and how is that benefiting you?
In Traditional Data Quality setup is very difficult to keep track to all DQ issues at once. Monte Carlo is helping to have all DQ & Data Observibility at one place with easy to use UI interface
mc is successful in catching anomalies in terms of freshness and volume except false positive alerts
What do you like best about the product?
Automated monitors can quickly detect the anomalies and announce it via slack alert.
What do you dislike about the product?
Let's say an alert is sent to our slack channel about a freshness anomaly for several tables. When the anomaly of one of these tables is solved, but other still remains having the issue, it sends a thread message regarding as the current late amounts of the tables, including the table which has no freshness anomly anymore. However, we expect to the see only the current problematic tables in the thread messages.
What problems is the product solving and how is that benefiting you?
it detects the abnormal size changes and the freshness anomalies of our tables. Additionaly, we are informed about the schema changes like a type change of a column in our table.
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