Monte Carlo Data + AI Observability Platform
Monte Carlo DataReviews from AWS customer
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Turnkey Anomaly Detection with Stakeholder-Friendly UI
What do you like best about the product?
turnkey anomaly detection, and a UI for stakeholders to log in to.
What do you dislike about the product?
It's been tough getting people to adopt it, and while some of the "just monitor all the columns" are helpful, its tough to exclude problem columns.
What problems is the product solving and how is that benefiting you?
MC has helped us with trust - we have way better visibility into the state of our lake and whether users can trust the data.
Advanced Data Observability with Easy Setup
What do you like best about the product?
I like Monte Carlo's advanced feature in data observability, which comes with useful pre-defined tools like freshness and volume monitor. I also appreciate the ability to customize them with custom SQL. The freshness monitor helps us ensure we receive data from our upstream/source systems and our downstream data products are refreshed as expected. If not, we get alerted, allowing us to troubleshoot and perform fixes promptly. Setting up Monte Carlo was easy with the official documentation, using the Monitor-as-code method with YAML configurations, which is helpful for developers to maintain in a Git repository.
What do you dislike about the product?
I wish there was more customization with the Monte Carlo alerts to write our custom messages, so that when they are sent to stakeholders like data product owners or source system owners, they can get better context of the alert.
What problems is the product solving and how is that benefiting you?
Monte Carlo helps us monitor, identify, manage, and fix data anomalies. It ensures our data is fresh by alerting us if data from upstream sources isn't refreshed, allowing us to troubleshoot quickly.
Alert Tracking and Efficient Connections
What do you like best about the product?
I like the tracking of alerts with different means and the ease of being able to connect more applications. In day-to-day use, alerts are used with metadata and other queries that allow for customizing the rules.
What do you dislike about the product?
The format of the alert history can be improved when viewing them and the summary of impacted tables.
What problems is the product solving and how is that benefiting you?
With Monte Carlo, I track the quality rules in our data lake and receive customizable alerts. This allows me to connect more applications easily and monitor through metadata and custom queries.
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
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