Monte Carlo Data + AI Observability Platform
Monte Carlo DataReviews from AWS customer
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One-Click Data Quality and Lineage
What do you like best about the product?
Monte Carlo took all the work out of monitoring our data warehouse for data lineage and quality. We have a small internal data team and being able to set up Monte Carlo and immediately enable huge capabilities we couldn't even imagine with a team of our size was truly incredible. It's one of the best data products I've ever paid for. Getting alerts in different slack channels, setting up different data domains, and the dbt integrations are also next-level features we didn't expect to love, but we do! 10/10 would buy again.
What do you dislike about the product?
Honestly, I don't have really anything to say here. Given the capabilities and insights we get from Monte Carlo, it's definitely worth the price. It's been huge for us.
What problems is the product solving and how is that benefiting you?
Monte Carlo delivers us data quality and data lineage for our whole data stack. It saved our small team months and months of work. It also delivers "unknown unknown" insights via machine learning -- a feature we would never have built internally.
The ultimate data observability in your data stack!
What do you like best about the product?
- Ability to set up alerts easily
- Variety of alerting
- Integration with Slack
- Data lineage!
- Variety of alerting
- Integration with Slack
- Data lineage!
What do you dislike about the product?
If I had to nitpick,
- more api features or monitors-as-code
- ability to view multiple field lineages together
- more api features or monitors-as-code
- ability to view multiple field lineages together
What problems is the product solving and how is that benefiting you?
- Helping with data monitoring alerts on new models
- Mapping out field lineage since we have data models across different systems
- Mapping out field lineage since we have data models across different systems
Everything we needed
What do you like best about the product?
The variety of ML automatic detection rules. The fact that you can write your own rules with code, fits like a glove with the CI/CD workflow that we use in our company.
What do you dislike about the product?
The lack of error reporting when you initially set up your filters by code. When you install them you don't know if they are incorrect until they are run, usually 2 days from the day of setup.
What problems is the product solving and how is that benefiting you?
Data quality is the main issue that we have with our data sets. Most of our data come from NoSQL store that then gets normalized into a data warehouse. Data warehouses do not enforce constraints as transactional databases so with Monte Carlo we can locate issues that we couldn't before.
A Truly Game-Changing Platform for Our Day-to-Day
What do you like best about the product?
Many SaaS platforms advertise minimal setup or work required of the client to activate and use their product. Monte Carlo truly delivers on that. There was very little setup work required for us, and once Monte Carlo's machine learning algorithms learned the data in our warehouse, we were getting value right away. It was exposing issues we never would have noticed on our own.
What do you dislike about the product?
Documentation can be a little thin at times, but thanks to how intuitive most of Monte Carlo's features are, there's rarely a need to reference the documentation.
What problems is the product solving and how is that benefiting you?
Monte Carlo exposes overall data quality issues across our warehouse. Be they late delivery of data, anomalous changes in table sizes, large shifts in low-cardinality columns, or any number of other problems caused by source system inconsistencies or breaking changes inadvertently deployed by engineers. The notifications platform additionally allows data practitioners at JetBlue to be alerted to issues in tables they commonly use at the same time our engineering team is alerted to the issue, eliminating the need for our engineering team to send out ad-hoc communications to analysts to make them aware of an issue while they work to solve it.
Have a database? Get Monte Carlo
What do you like best about the product?
I was constantly lost in a sea of 2,800 tables without any documentation. Every relationship and quirk was handed down through the generations like an arcane oral history of our business structure. Some tables were unknowingly deprecated, others had fields constantly in flux, and countless others were for testing purposes only. Monte Carlo won't write your business documentation for you but it WILL give you a map and a compass. I can now see every change that developers make to source tables: data types, new fields, dropped fields, mass insertions/deletions, everything. And it doesn't just tell you that a change occurred - it shows you the actual statement that was executed, when it was executed, and which downstream reports and users will be affected. Maybe you're not a developer and you don't care about the database structure - maybe you care about the timbre and characteristics of the data itself. Monte Carlo will show you that invoices are coming in with $0, or when users stop uploading data, or when the data you're receiving doesn't seem right. You can certainly try to write scheduled queries for all of these business alerts but you won't do it as well - or as quickly - as Monte Carlo. I didn't know that I needed Monte Carlo because I didn't know how to put my daily frustrations into words. I feel like I've gone to data therapy and I can finally keep up with the sprawling growth of our data structures.
What do you dislike about the product?
If I had Monte Carlo throughout my career in IT and analytics I wouldn't be near as good at troubleshooting system issues. If you've endured the hardships and learned how to find root causes already then jump right in. People should learn how to piece the data together by hand, document processes, and write automated alerts, THEN graduate to Monte Carlo to make their life easier.
What problems is the product solving and how is that benefiting you?
Just yesterday I was able to identify and clean up 150 tables that weren't being read or written to. I also use the catalog to track down all the tables that have a specific field I need for reporting. When things break, Monte Carlo identifies the means, motive, and opportunity of the culprit.
Monte Carlo is a reliable product
What do you like best about the product?
Data observability and data reliability delivered
What do you dislike about the product?
More security features should be added with regards to data safety.
What problems is the product solving and how is that benefiting you?
Major problem solved by Monte Carlo is data break which enaures data recovery and end to end data observability.
It Makes You Trust Your Data
What do you like best about the product?
It's never been easier to truly trust and understand your data.
I find it super helpful in every aspect of managing a data warehouse.
- Alarming when something is wrong
- Understand how the tables are tied together
- The impact of schema changes
- Cleanup and other supportive tools
There's also great support and the platform keeps improving all the time
I find it super helpful in every aspect of managing a data warehouse.
- Alarming when something is wrong
- Understand how the tables are tied together
- The impact of schema changes
- Cleanup and other supportive tools
There's also great support and the platform keeps improving all the time
What do you dislike about the product?
Used tobe the UI, setting up multiple monitors , but it has already been improved by a lot.
What problems is the product solving and how is that benefiting you?
It helps me be on top of every data issue we may encounter, no matter how bizarre or edge-case it may be.
Great product with amazing customer support
What do you like best about the product?
Monte Carlo has such a clean interface and makes onboarding so easy. It is extremely useful for doing data validation ensuring that our critical data does not have any discrepancies. They also have the best support team! They immediately reached out to try and find a solution to my problem. Awesome product!
What do you dislike about the product?
One small suggestion would be to make the created rules more easily searchable. Otherwise love using the product.
What problems is the product solving and how is that benefiting you?
Instead of needing to build batch jobs to run validation checks against our data, we can simply create sql scripts to check the data. This makes it easy to fix the validation if the logic is wrong and to add new comprehensive checks.
An great tool to ensure data quality and speed-up problem resolution
What do you like best about the product?
As data scientists/engineers, we spend time fixing data pipelines.
Monte Carlo data monitoring solution provides us a big help though:
- a complete and near real-time overview of the health of our data architecture
- an easy-to-use and intuitive platform
- possibilities to custom the dashboards based on specific business needs
- reactive alerts through notifications
Monte Carlo data monitoring solution provides us a big help though:
- a complete and near real-time overview of the health of our data architecture
- an easy-to-use and intuitive platform
- possibilities to custom the dashboards based on specific business needs
- reactive alerts through notifications
What do you dislike about the product?
Nothing much to say. It could miss the possibility to connect to some channels for notifications (depending on your need) and maybe a better way to get rid of some false alerts.
What problems is the product solving and how is that benefiting you?
It allows us to get a quick and visual overview of the status of our data-driven solutions, and especially the freshness of the data.
We save precious time in searching for the root cause when something breaks.
It also helps to increase trust from the end-users.
We save precious time in searching for the root cause when something breaks.
It also helps to increase trust from the end-users.
Tool we were waiting for
What do you like best about the product?
Being in the data field for a long time, you know how important data quality is. People will use data only if they trust it. We created multiple monitors in our pipelines, as well as a variety of data checks, which need to be maintained and supported. With Monte Carlo we have a tool that helps to find various data problems using AI underneath as out-of-box solution. The time for RCAs and problems resolution decreases dramatically, which saves lots of resources.
Besides AI driven notifications we can create business-defined custom monitors to have a complete picture about data health.
Besides AI driven notifications we can create business-defined custom monitors to have a complete picture about data health.
What do you dislike about the product?
No able to observe RDBMS and Kafka so far.
What problems is the product solving and how is that benefiting you?
Data lineage helps to find the root cause of the problem and, as a result, much faster resolution. Metadata aggregated by Monte Carlo and shared with us gives valuable insight into the data infrastructure and abilities to improve it.
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