Monte Carlo Data + AI Observability Platform
Monte Carlo DataReviews from AWS customer
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Monte Carlo is a powerful platform for data discovery, lineage, and quality management.
What do you like best about the product?
I love the built-in monitors and alerts. It is beneficial that many built-in monitors, like freshness and volume, don't require configuration. The Machine learning ability of the tool does an excellent job of learning the cadence and size of the data with no effort required. Monte Carlo offers an extensible and flexible set of tools to customize alerts for data quality.
The data lineage features of Monte Carlo are impressive and easy to use. Being able to trace data from S3 storage to Tableau is powerful.
Integrating with DBT makes finding data easier for our product teams. They don't need to be experts on the data to discover what they need.
The data lineage features of Monte Carlo are impressive and easy to use. Being able to trace data from S3 storage to Tableau is powerful.
Integrating with DBT makes finding data easier for our product teams. They don't need to be experts on the data to discover what they need.
What do you dislike about the product?
There is so much that Monte Carlo has to offer that the UI can be intimidating. Some additional handholding, tooltips, or other visual cues could be helpful to someone who is less technically included or doesn't have time to read the documentation.
What problems is the product solving and how is that benefiting you?
Monte Carlo continually monitors our data warehouse to identify data anomalies. This tool has allowed my small team to scale across many data pipelines. Data Operations, Engineers, and stakeholders know when there are issues with the data.
Monte Carlo- A+ tool for Data Observability
What do you like best about the product?
1. We can pick any monitor from Monte Carlo's list based on our requirements and set up notifications from various channels such as Slack/Teams or emails.
2. Out-of-the-box features that detect schema changes and data volume is fantastic.
2. Out-of-the-box features that detect schema changes and data volume is fantastic.
What do you dislike about the product?
I don't dislike the product so far, but there are cases when people might get false negative alerts if you don't set up the notifications properly.
What problems is the product solving and how is that benefiting you?
Monte Carlo is helping us to solve the biggest problem of reducing data downtime by alerting various teams who owns the data pipeline.
Robust platform for managing Data Observability and Quality needs
What do you like best about the product?
Great tool for monitoring Data Quality of new as well as already existing tables. Love the continuous addition of new features which further enable end to end Data Quality checks!
What do you dislike about the product?
At some time in future it would be great to have a feature which would enable Data Quality checks across ETL workflows i.e. to validate if data from source is loaded as expected in the target.
What problems is the product solving and how is that benefiting you?
Monte Carlo alerts whenever data looks like it is not in the expected shape or format which then allows to fix the issues before they impact end users of the data.
Reliable application for managing data
What do you like best about the product?
Monto Carlo application helped me to solve the large data management. It's a reliable application to analyse the data manage the data and reporting the data and making decisions based on the data
What do you dislike about the product?
There is nothing to dislike the Monte Carlo as it's used to manage large amount of data there will be some limitations and monte Carlo will evolve to over come those limitations
What problems is the product solving and how is that benefiting you?
Monto Carlo helped me to solve large data driven decision making and also monitoring of the data. Analzing and reporting of the data made easy in the Monte Carlo
Review for Monte Carlo
What do you like best about the product?
Product enhancements across portfolio to simplify and personalize all the data.flexibilty to collect data reduce, enrich,normalize and route data from any to source to one destination.
What do you dislike about the product?
As per my usage I don't see any dislikes on this products since it gives data engineers programmatic access to augument data observability platforms lineage and cataloging
What problems is the product solving and how is that benefiting you?
Gitlab data team builds culture of transparency also reduced data incidents to zero with data observability and also prevents broken data pipelines with Monte carlo
Great data quality monitoring
What do you like best about the product?
Monte carlo enables trust on data by monitoring data lineage and quality. Easy to integrate with slack. Getting alerts in different slack channels. Dashboard is really nice
What do you dislike about the product?
Nothing in particular, as it satisfies all the requirements that I need to monitor my data.
What problems is the product solving and how is that benefiting you?
Monitoring the reliability of data without downtime.
Great tool for data visibility and security.
What do you like best about the product?
It helped us to understand potential issues before they actually get pretty serious, which eventually happened to be cost-effective. It also helped with data freshness.
What do you dislike about the product?
It had minor UI issues which spoilt the overall experience of using the entire tool. It also needs a revamp on alert customisation settings. Still lacks MS Teams integration.
What problems is the product solving and how is that benefiting you?
The overall experience was seamless with minimal configuration. It helped to identify issues and errors faster due to the constant monitoring of data freshness.
Monte Carlo adds value to the project
What do you like best about the product?
Useful in data insights in various data lakes
What do you dislike about the product?
Defining separate domains for two separate ENV's
What problems is the product solving and how is that benefiting you?
For the accurate monitoring of the various data lakes in one go, and to predict the various behaviours of the data.
Great product, great customer success.
What do you like best about the product?
Montecarlo has enabled us to get a grip on data reliability. Company metrics being late for the weekly executive review has basically stopped being a thing because of Montecarlo.
What do you dislike about the product?
It would be great if this tool covered more than just our data warehouse. We've diagnosed incidents based on the copy of production data in our DW. If MC covered our prod databases we'd have known sooner.
What problems is the product solving and how is that benefiting you?
Montecarlo surfaces anomalies in our data which often reveal problems with a pipeline.
Building trust in your data
What do you like best about the product?
Ease of use. It's a very frictionless setup allowing users to add new databases to monitor in minutes.
What do you dislike about the product?
Nothing to dislike in general but when observing data, latency can be an issue. There generally has to be a passage of time for an issue to become apparent.
What problems is the product solving and how is that benefiting you?
We run a Saas application across 16 databases in 11 Snowflake accounts. Monte Carlo helps us observe these in a single view
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