Monte Carlo Data Observability Platform
Monte Carlo DataReviews from AWS customer
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Review for Monte Carlo
What do you like best about the product?
Product enhancements across portfolio to simplify and personalize all the data.flexibilty to collect data reduce, enrich,normalize and route data from any to source to one destination.
What do you dislike about the product?
As per my usage I don't see any dislikes on this products since it gives data engineers programmatic access to augument data observability platforms lineage and cataloging
What problems is the product solving and how is that benefiting you?
Gitlab data team builds culture of transparency also reduced data incidents to zero with data observability and also prevents broken data pipelines with Monte carlo
Great data quality monitoring
What do you like best about the product?
Monte carlo enables trust on data by monitoring data lineage and quality. Easy to integrate with slack. Getting alerts in different slack channels. Dashboard is really nice
What do you dislike about the product?
Nothing in particular, as it satisfies all the requirements that I need to monitor my data.
What problems is the product solving and how is that benefiting you?
Monitoring the reliability of data without downtime.
Review and inputs for Monte Carlo data observability software
What do you like best about the product?
Monte Carlo uses machine learning to identify data down times and up times which is quite utilitarian
What do you dislike about the product?
The costs involved in implementing such a feature-rich software can be one of the impediments in installing the software
What problems is the product solving and how is that benefiting you?
The software essentially helps as a tool to understand the costs incurred due to downtime, the assessment of data downtime in terms of related software installed and its affects on inventory management.
Great tool for data visibility and security.
What do you like best about the product?
It helped us to understand potential issues before they actually get pretty serious, which eventually happened to be cost-effective. It also helped with data freshness.
What do you dislike about the product?
It had minor UI issues which spoilt the overall experience of using the entire tool. It also needs a revamp on alert customisation settings. Still lacks MS Teams integration.
What problems is the product solving and how is that benefiting you?
The overall experience was seamless with minimal configuration. It helped to identify issues and errors faster due to the constant monitoring of data freshness.
Monte Carlo adds value to the project
What do you like best about the product?
Useful in data insights in various data lakes
What do you dislike about the product?
Defining separate domains for two separate ENV's
What problems is the product solving and how is that benefiting you?
For the accurate monitoring of the various data lakes in one go, and to predict the various behaviours of the data.
Great product, great customer success.
What do you like best about the product?
Montecarlo has enabled us to get a grip on data reliability. Company metrics being late for the weekly executive review has basically stopped being a thing because of Montecarlo.
What do you dislike about the product?
It would be great if this tool covered more than just our data warehouse. We've diagnosed incidents based on the copy of production data in our DW. If MC covered our prod databases we'd have known sooner.
What problems is the product solving and how is that benefiting you?
Montecarlo surfaces anomalies in our data which often reveal problems with a pipeline.
Building trust in your data
What do you like best about the product?
Ease of use. It's a very frictionless setup allowing users to add new databases to monitor in minutes.
What do you dislike about the product?
Nothing to dislike in general but when observing data, latency can be an issue. There generally has to be a passage of time for an issue to become apparent.
What problems is the product solving and how is that benefiting you?
We run a Saas application across 16 databases in 11 Snowflake accounts. Monte Carlo helps us observe these in a single view
Smart way to stay up to date with data quality issues without writing a single test or query.
What do you like best about the product?
I love the automated AI detection of quality issues that just come to me without even having to think where and how to start monitoring my data or writing tests or queries to look for issues, I love how it all ends up in one place (ETL issues, dbt failures, database schema changes), the easily accessible field and table lineage that help me understand where some issues come from - or even help to model data and refactor old models.
What do you dislike about the product?
The only concern is the load on our database and, therefore, increased costs but after a small duscussion with the Mc team we were able to improve this too by tuning down the frequencies these checks run agains our db.
What problems is the product solving and how is that benefiting you?
Monte Carlo clearly shows impacted buisness reports in each of the detected incidents while also providing a degreee of importance of the table and its impact downstream, and allows us to give a heads up to the stakeholders early on when anything unexpected happens.
Great tool which covers our requirements
What do you like best about the product?
- high configuration abilities
- many predefined monitors
- usage of artificial intelligence
- monitors as code
- great support and collaboration with the MC team
- many predefined monitors
- usage of artificial intelligence
- monitors as code
- great support and collaboration with the MC team
What do you dislike about the product?
- no possibility to define groups for notifications purposes
What problems is the product solving and how is that benefiting you?
- less own monitoring implementation necessary
- self-learning observability moves the monitoring to the next level
- self-learning observability moves the monitoring to the next level
Ensuring Data Reliability with Monte Carlo
What do you like best about the product?
The most helpful aspect of Monte Carlo is its real-time data quality issue detection and resolution, which ensures accurate and reliable data. The platform is easy to use and provides advanced algorithms and machine learning capabilities for identifying and resolving data anomalies and outliers. Monte Carlo's customer support is responsive and helpful in addressing any issues that users encounter.
What do you dislike about the product?
Sometimes I have experienced occasional issues with data processing and the platform's user interface, although these issues seem to be infrequent and have been promptly resolved by the Monte Carlo support team.
What problems is the product solving and how is that benefiting you?
1. automatically detecting and resolving data quality issues in real-time
2. saving time and preventing costly errors that can arise from using inaccurate or incomplete data
3. improving overall data quality by identifying data anomalies and outliers
4. helping businesses become more data-driven and better equipped to make informed decisions based on high-quality data
2. saving time and preventing costly errors that can arise from using inaccurate or incomplete data
3. improving overall data quality by identifying data anomalies and outliers
4. helping businesses become more data-driven and better equipped to make informed decisions based on high-quality data
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