Monte Carlo Data Observability Platform
Monte Carlo DataReviews from AWS customer
0 AWS reviews
-
5 star0
-
4 star0
-
3 star0
-
2 star0
-
1 star0
External reviews
461 reviews
from
and
External reviews are not included in the AWS star rating for the product.
Intuitive Interface and Outstanding Monitoring Features
What do you like best about the product?
The user interface is easy to use, and the platform offers excellent monitoring and alerting for table anomalies.
What do you dislike about the product?
It can be challenging at times to determine which tables you should monitor, especially since charges are based on table monitor days.
What problems is the product solving and how is that benefiting you?
This tool enables us to take a proactive approach to data quality and provides improved visibility into our data warehouse.
Fast Monitor Creation and Smart Anomaly Detection
What do you like best about the product?
I really enjoy how it allows me to create monitors very fast and the platform has agents to find anomalous towards my tables and data in general. The lineage mapping is also very nice
What do you dislike about the product?
I wish the jobs was easier to put in, as if there was a way to dump all my jobs from a certain platform like snowflake or agilitke
What problems is the product solving and how is that benefiting you?
I have lots of ingestion pipelines that I previously would not know if they went down. Now I know within a day when they went down. Data completeness is also great so I know that there aren't nulls in my database and that my metadata is up to date
Outstanding Analogy Detection and Monitoring Features
What do you like best about the product?
The analogy detection and in built monitors for freshness / volume.
What do you dislike about the product?
Would like to see more integrations with other sources like Kafka and not only lineage
What problems is the product solving and how is that benefiting you?
It gives my team the holistic view of the health of our data and alerts us on the issues before our customers complain
Notification Customization Makes a Big Difference
What do you like best about the product?
Notification customization can be very helpful
What do you dislike about the product?
Hard to navigate the portal to customize all the groups
What problems is the product solving and how is that benefiting you?
Our datwarehouse provider doesnt notify us of integration issues
Versatile and Intuitive Solution That Delivers
What do you like best about the product?
Versatile and in most cases quite intuitive
What do you dislike about the product?
Requires a bit of set-up and process around it (by the customer) that can influence how useful the service turns out to be.
What problems is the product solving and how is that benefiting you?
Identifying data quality issues and assigning the issues for resolution in the appropriate team.
Effortless Monitoring with Automated Insights
What do you like best about the product?
I like that Monte Carlo works out of the box. Once the dataset is connected, it automatically monitors it for basic issues, which is already a great help to catch errors. I also appreciate the ability to create custom monitoring to prevent regression on discovered issues. It helps in discovering issues before they affect customers or other systems. It's valuable that I can monitor tons of datasets at once and receive signals about problems via Slack or email. The ability to investigate directly within Monte Carlo easily is great. Additionally, the initial setup was super easy.
What do you dislike about the product?
Monte Carlo is a bit expensive, and it could provide more guidance on how to improve monitoring coverage to guide juniors.
What problems is the product solving and how is that benefiting you?
I use Monte Carlo for detecting data quality issues across data warehouses, unveiling automated insights on potential problems, and preventing customer-impacting issues. It automatically monitors datasets for errors and allows custom monitoring to prevent regression, which is very effective.
Effortless Integration and Insightful Reporting with Monte Carlo
What do you like best about the product?
I appreciate how easy and straightforward it is to use Monte Carlo. I also value the seamless integration with popular databases such as Snowflake and MongoDB. Additionally, I find the reports provided by MC on past incidents and data health to be very useful.
What do you dislike about the product?
It can be too expensive, especially for small projects.
What problems is the product solving and how is that benefiting you?
It helps me identify anomalies in traffic quality
Intuitive Interface and Helpful Documentation Make It a Standout
What do you like best about the product?
The user interface is highly intuitive, making it easy to navigate, and the documentation provides valuable assistance.
What do you dislike about the product?
At the moment, nothing specific comes to mind. My main issues relate to how we configure the notification channels. With the most recent update, our previous strategy for setting them up is no longer effective, so we now need to make some adjustments as a result.
What problems is the product solving and how is that benefiting you?
We have noticed improvements in reducing the time required for reconciliations by validating in advance that all necessary information is available. Additionally, we have identified downtime in system integrations and have received alerts about delays in data being sent by our data providers.
Effortless to Use and Highly Intuitive
What do you like best about the product?
Simple to use, you dont need technical experience in order to use the tool
What do you dislike about the product?
Needs a bit of work with the alerts where you can disable alerts
What problems is the product solving and how is that benefiting you?
Data quality issues
Intuitive with Powerful Monitoring, Improve the Documentation
What do you like best about the product?
I really like that, without having much experience, Monte Carlo has given me the option to create robust monitors in a short time. I have provided it with a list of tables and it has been able to find when the data should enter, and when it hasn't, it has triggered an alert. As a data engineer, creating the first monitors has been quite intuitive.
What do you dislike about the product?
I think there could be more documentation to create more complex monitors. When you want to do more complex things, they always force you to use the custom query, for example.
What problems is the product solving and how is that benefiting you?
I use Monte Carlo to monitor the data warehouse tables and detect anomalies. It helps me identify tables that do not update new data and create robust monitors without much experience.
showing 11 - 20