Monte Carlo Data Observability Platform
Monte Carlo DataReviews from AWS customer
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a vital component that governs datapipelines
What do you like best about the product?
Monte Carlo can be used as MonteCarlo-as-code. This feature enables integration of MonteCarlo and its features into devops or dataops, which makes pipelining robust.
What do you dislike about the product?
MonteCarlo-as-code is not as simple as it can be. Many Monitors require complex custom code instead of being turn-key
What problems is the product solving and how is that benefiting you?
Our long datapipelines have multiple places where data flow can break. Digging into the root cause or whereabout is tedious and time consuming. By setting up MonteCarlo monitors at various stages of our pipelines enable us to pin point the problem quickly and automatically, hence reduce interruption.
Data Observability in Diagnostics
What do you like best about the product?
Monitor as Code. Integrations with dbt. Performance overview. Asset lineage of all branches.
What do you dislike about the product?
A lot of feature which sometimes are hard to navigate through
What problems is the product solving and how is that benefiting you?
Great Data Discoverability with its Asset Lineage feature. Highlighting the best and worst perfomring queries
Simplifying Data Monitoring with Efficiency
What do you like best about the product?
Monte Carlo is its ease of use and intuitive interface, which makes it simple to monitor data pipelines without requiring a steep learning curve. The ease of implementation was another standout—getting everything up and running was surprisingly quick, and the setup process was well-documented.
Given the tool’s robust number of features, it seamlessly covers everything from detecting anomalies to ensuring data reliability, making it an essential part of my workflow.
I use Monte Carlo on a daily basis, and its ease of integration with my existing data stack has saved me countless hours of manual troubleshooting. Overall, it’s an indispensable tool for anyone focused on maintaining high data quality.
Given the tool’s robust number of features, it seamlessly covers everything from detecting anomalies to ensuring data reliability, making it an essential part of my workflow.
I use Monte Carlo on a daily basis, and its ease of integration with my existing data stack has saved me countless hours of manual troubleshooting. Overall, it’s an indispensable tool for anyone focused on maintaining high data quality.
What do you dislike about the product?
While I’ve had a positive experience with Monte Carlo overall, there are a couple of areas where I think it could improve. For instance, the user interface could be a bit more streamlined in some sections to make navigation even quicker. Sometimes, certain features or settings are buried within menus, which can add a bit of complexity when you're trying to perform quick tasks.
Additionally, although it integrates well with most of my existing tools, there are a few integration options that could be more flexible for certain tech stacks. The tool works well, but at times, I find myself needing more customization options when connecting to less common databases or systems.
That said, these are relatively minor issues compared to the overall value and reliability the platform offers.
Additionally, although it integrates well with most of my existing tools, there are a few integration options that could be more flexible for certain tech stacks. The tool works well, but at times, I find myself needing more customization options when connecting to less common databases or systems.
That said, these are relatively minor issues compared to the overall value and reliability the platform offers.
What problems is the product solving and how is that benefiting you?
Monte Carlo is assisting us in conducting data quality checks for our customers' data through a unified platform. This helps us analyze and enhance data checks during the early stages of data ingestion.
Highly customised data testing tool
What do you like best about the product?
It's very customisable and the information provided in every incident is insightful
What do you dislike about the product?
If we have incidents which are marked expected and then after further executions if the actual issue comes, there's no way to finding it.
What problems is the product solving and how is that benefiting you?
Checking the quality of data
Game-Changer for Data Reliability and Observability
What do you like best about the product?
What I really like about monte carlo is that we can deploy large volume of test cases and it helps us in retrieving the consolidated reports in one place which is easily understandable and it helps us to present the data to the customer/client in a much cleaner way. I use it almost daily.
What do you dislike about the product?
The result report generating is somehow time consuming as it takes 2 days. Also one more disadvantage is that script execution is time consuming and sometimes lagging when the volume of data is large. Also monte carlo customer support can be improved more.
What problems is the product solving and how is that benefiting you?
1. It reduces my manual efforts as it helps to execute the predefined scripts on a scheduled basis.
2. It also helps in combining and maintaining failed test case and helps me to report them easily within the necessary team in my organization
2. It also helps in combining and maintaining failed test case and helps me to report them easily within the necessary team in my organization
Monte carlo review
What do you like best about the product?
That it gives failed alerts of the failed test cases.
What do you dislike about the product?
Failed cases report geneartion takes more than a day.
What problems is the product solving and how is that benefiting you?
Monte carlo runs a huge volume of cases by automating the process.
Efficiency and Benefits of Using Monte Carlo for Data Quality Validation
What do you like best about the product?
Monte Carlo is a one-stop platform that allows us to access all data quality checks in a single location.
It saves time and significantly reduces manual effort during data validation.
Its is a testing automation tool, which runs predefined test cases and returns their result on a scheduled basis, it also helps tagging and maintaining failed test case and to report them
It saves time and significantly reduces manual effort during data validation.
Its is a testing automation tool, which runs predefined test cases and returns their result on a scheduled basis, it also helps tagging and maintaining failed test case and to report them
What do you dislike about the product?
Occasionally, due to the large volume of data, there can be some lag in script execution, resulting in delays when extracting the output. This can impact efficiency, although the tool remains highly effective overall
What problems is the product solving and how is that benefiting you?
- Its saving a lot of manual efforts while validating the data.
- Its very common for data observatibility, quality and monitoring the data.
- Its beneficial for filtering the anomalities based on different schema and at which particular layer our data has failed and anomaly is to fixed.
- Its easy to use and access and is very accomodating of changes and flexibility.
- Its very common for data observatibility, quality and monitoring the data.
- Its beneficial for filtering the anomalities based on different schema and at which particular layer our data has failed and anomaly is to fixed.
- Its easy to use and access and is very accomodating of changes and flexibility.
Monte Carlo has helped us close important gaps in our data quickly
What do you like best about the product?
What I like best about Monte Carlo is its ability to streamline the testing and automation process. Its scheduled test case execution and result reporting make managing tests more efficient and less time-consuming. I appreciate how it not only runs predefined test cases but also helps in organizing and tagging failed tests, making it easier to track and prioritize issues. This functionality ensures that teams can maintain a high level of test coverage, quickly identify problem areas, and improve the overall quality of the software. It's an excellent tool for maintaining a structured and automated testing workflow.
What do you dislike about the product?
It could be the way it is defined in our organization, but one thing I require is the ability to configure data & result on a source level and to have a percentage wise failure count and to configure an expected rate of failure for each source.
What problems is the product solving and how is that benefiting you?
Monte Carlo is solving several key problems in the testing and automation process. It eliminates the need for manual test execution by automating the running of predefined test cases on a scheduled basis, saving valuable time and reducing human error. The tool also helps in efficiently managing and tracking failed test cases by tagging them, which allows for better prioritization and faster issue resolution.
This benefits me by providing a more organized and streamlined approach to testing. I no longer need to manually run tests or constantly monitor test results. Instead, Monte Carlo handles the execution and reporting automatically, which frees up my time for more strategic tasks. The ability to quickly identify and address failed tests also leads to quicker feedback and continuous improvement of the software quality.
This benefits me by providing a more organized and streamlined approach to testing. I no longer need to manually run tests or constantly monitor test results. Instead, Monte Carlo handles the execution and reporting automatically, which frees up my time for more strategic tasks. The ability to quickly identify and address failed tests also leads to quicker feedback and continuous improvement of the software quality.
Good platform with difficult to discover / use features
What do you like best about the product?
clearly very powerful, monitors as code is very good; it is easy to get started with basic monitors and also more advanced monitors are fairly easy to set up once you have understood them
What do you dislike about the product?
features are often not easy to discover and use; some things are not transparent - for example, there often seem to be issues with which tables are shown and sometimes they can only be found in "All Domains" instead of the specific domain; sometimes API keys need to be re-generated for some reason because they seem to lose some permissions? I don't know if this is actually an issue of MonteCarlo or is more related to the integration by the platform team; it is hard to get business users to use it and collaborate with them - maybe MonteCarlo could do more outreach to them so they are more incentivized to use it
What problems is the product solving and how is that benefiting you?
monitor tables, define and measure SLIs/SLOs; make data quality visible to both data engineers and business stakeholders
Smooth, great UI/UX
What do you like best about the product?
The UI/UX, the design, themes, speed etc..
What do you dislike about the product?
Nothing, Nothing, Nothing, Nothing, Nothing.
What problems is the product solving and how is that benefiting you?
It is arranging all the data issues for us instead of doing in manually!
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