Sold by: Monte Carlo Data
Deployed on AWS
Data breaks. We ensure your team is the first to know and the first to solve with end-to-end data observability.
4.4
Overview
As businesses increasingly rely on data to power digital products and drive better decision making, it's mission-critical that this data is accurate and reliable. Monte Carlo's Data Observability Platform is an end-to-end solution for your data stack that monitors and alerts for data issues across your data warehouses, data lakes, ETL, and business intelligence. The platform uses machine learning to infer and learn your data, proactively identify data issues, assess its impact, and notify those who need to know. By automatically and immediately identifying the root cause of an issue, teams can easily collaborate and resolve problems faster. Monte Carlo also provides automatic, field-level lineage and centralized data cataloging that allows teams to better understand the accessibility, location, health, and ownership of their data assets, as well as adhere to strict data governance requirements.
Highlights
- Detect: Detect data quality issues before your stakeholders at each stage of the pipeline
- Resolve: Resolve data issues with out-of-the-box root cause and impact analysis, including end-to-end field-level lineage
- Prevent: Prevent data downtime proactively across your stack
Details
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Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
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Dimension | Description | Cost/12 months | Overage cost |
|---|---|---|---|
Monte Carlo Credit | Monte Carlo's Data Observability Platform Credit | $50,000.00 |
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Delivery details
Software as a Service (SaaS)
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Updated weekly
By Monte Carlo Data
By Collibra
Top
10
In Data Governance
Top
10
In Data Catalogs, Data Governance
Top
10
In Data Catalogs, Data Governance
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Data Monitoring
Machine learning-powered monitoring of data warehouses, data lakes, ETL, and business intelligence systems
Data Quality Detection
Proactive identification and assessment of data quality issues using advanced machine learning algorithms
Data Lineage
Automatic field-level lineage tracking with comprehensive visibility across data assets and transformation pipelines
Root Cause Analysis
Automated root cause identification and impact assessment for data quality and reliability issues
Data Governance
Centralized data cataloging with capabilities for tracking data asset accessibility, location, health, and ownership
AI Governance
Provides active metadata-driven governance framework for AI strategies with rules, processes, and responsibilities to mitigate risks and ensure ethical AI practices
Data Catalog Management
Enables comprehensive discovery and understanding of data assets across hybrid and multi-cloud environments with full business context and metadata insights
Automated Data Lineage
Offers end-to-end lineage tracking with complete transparency into data transformation and flow across systems, including summary-level and technical lineage details
Privacy Workflow Automation
Centralizes and automates privacy workflows to address global regulatory requirements and encourage collaborative data protection
Data Quality Management
Replaces manual processes with automated data monitoring and rule management to scale data quality across enterprise environments
Data Discovery
Powerful search algorithms for discovering data assets across tables, views, BI dashboards, SQL snippets, and pipelines
Data Lineage
Automated lineage construction through parsing SQL query history with intelligent bot-driven tracking
Data Governance
Automatic PII data detection with dynamic access policy creation and ecosystem management capabilities
Data Quality Profiling
Automated generation of data quality profiles with variable type detection, frequency distribution, missing value, and outlier analysis
Multi-Platform Integration
Deep integrations with data platforms including Snowflake, Redshift, Databricks, Looker, and Power BI for comprehensive metadata management
Standard contract
No
No
Customer reviews
Sports
Real-Time Data Alerts Have Transformed Our Issue Resolution
Reviewed on Dec 19, 2025
Review provided by G2
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.
David G.
Specialized Data Monitoring Tool
Reviewed on Dec 19, 2025
Review provided by G2
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.
Xavier O.
Good Overall, But Custom Metric Limitations Hold It Back
Reviewed on Dec 19, 2025
Review provided by G2
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.
Human Resources
Proactive Data Reliability That Keeps Us Ahead
Reviewed on Dec 18, 2025
Review provided by G2
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
Consumer Goods
Effortless Setup and Seamless Integration with Outstanding Support
Reviewed on Dec 17, 2025
Review provided by G2
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.