Monte Carlo Data Observability Platform
Monte Carlo DataReviews from AWS customer
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Real-Time Data Alerts Have Transformed Our Issue Resolution
What do you like best about the product?
Real-time alerts based on data quality were not something previously available to us, and it has significantly improved our awareness of ongoing data issues and allowed us to resolve them.
What do you dislike about the product?
UI is not bad, but there could be slight improvements to simplify use cases (ie too may drop down menus and lack of ability to templatize custom alerts).
What problems is the product solving and how is that benefiting you?
Monte Carlo allows us to have real-time alerts about data ingestion and integration failures, which allows us to troubleshoot in real time instead of just when an internal stakeholder flags them to us -- this allows us to be more proactive and have deeper trust across stakeholders in the organization.
Specialized Data Monitoring Tool
What do you like best about the product?
It's a tool specialized in data monitoring/observability, and it's constantly implementing new features, making it more intuitive and easier to use.
What do you dislike about the product?
Apparently the license is very expensive, so we have to limit its use in the company.
What problems is the product solving and how is that benefiting you?
Their SQL monitors can be integrated into Collibra for easy visualization of SLAs during DP shopping.
Good Overall, But Custom Metric Limitations Hold It Back
What do you like best about the product?
It's really easy to set up different kind of monitoring alerts.
What do you dislike about the product?
Custom metric is a bit limited if you wat to do comparisons between fields within the same table.
What problems is the product solving and how is that benefiting you?
It's really easy to set up different kind of monitoring alerts.
Proactive Data Reliability That Keeps Us Ahead
What do you like best about the product?
Monte Carlo has helped our team maintain a much better sense of data reliability, as issues and changes in the data are now alerted to us proactively, we now have the chance to get things fixed before stakeholders even notice, rather than being reactive to their tickets about something being broken.
What do you dislike about the product?
Out of the box, we were a little overloaded with alerts that didn't actually signify anything of importance leading to alert fatigue, luckily the customization options gave us the opportunity to remedy that
What problems is the product solving and how is that benefiting you?
Data Observability, Proactiveness
Effortless Setup and Seamless Integration with Outstanding Support
What do you like best about the product?
I appreciate how easy it is to set things up. The platform's capability to handle multiple use cases within a single system is very useful. Its integration with the tools we already use allows me to take advantage of alerting features directly within my daily workflow. The customer support and engagement from our Monte Carlo team has been fantastic.
What do you dislike about the product?
Some of the admin side of things can be difficult when managing the different types of monitors. Being able to see our holistic quality and manage them from one central place can be tricky sometimes.
What problems is the product solving and how is that benefiting you?
We use Monte Carlo to monitor and alert us to any issues that might be going on in our complex architecture. The goal for us is to never have an end user catch issues with our data, but we have proactively set monitors up to manage that in advance.
Effortless Use and Insightful Summaries
What do you like best about the product?
Easy to use, great root cause analysis and agentic summaries
What do you dislike about the product?
pricing structure and budgeting is difficult
What problems is the product solving and how is that benefiting you?
Proactive notification of issues in our data ecosystem enable us to get ahead of breaks before downstream users are aware.
Huge time saver for our team
What do you like best about the product?
I like that we don't have to write our own DQ rules from scratch and its organized in a user-friendly UI. The data quality dashboard is a very useful tool to show executives and prove the ROI for the software.
What do you dislike about the product?
It can be complicated and overwhelming to understand the process as a whole on what to monitor, when to alert and what priority to assign. The popularity score doesn't always match with what the business considers our most important data and using the key asset tag doesn't allow the granularity to adjust how important an asset is. The AI features could use some work as they often offer suggestions that are not entirely helpful.
What problems is the product solving and how is that benefiting you?
The ability to test data quality in several dimensions on our bronze and gold layers without having to manually do this in Snowflake is a huge time savings for our team. The proactive monitoring has helped us catch data development errors before it reaches our end user. To have this summarized in a dashboard with an overall data quality score is a very helpful benchmark.
Effortless Data Monitoring with Monte Carlo
What do you like best about the product?
I like how Monte Carlo is very easy to set up and truly plug and play. It's super easy to connect to our systems and get alerts set up.
What do you dislike about the product?
I would like Monte Carlo to recommend which alerts to add from a business perspective.
What problems is the product solving and how is that benefiting you?
Monte Carlo helps me detect data anomalies in real-time. It's plug and play, making it very easy to set up and connect with our systems to get alerts quickly.
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.
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