Monte Carlo Recognized as the #1 Data Observability Platform by G2 for 6th Consecutive Quarter

For the sixth consecutive quarter, Monte Carlo has been named G2’s #1 Data Observability Platform. This recognition is especially meaningful to our team because G2 relies on feedback and ratings from real customers — individuals who use these tools daily to accomplish their tasks and create more value for their business. 

Filling our trophy case with G2 badges is wonderful, but mostly, we’re delighted to know our products are helping our customers create more value from data and achieve their goals. This recognition confirms that our focus on delivering time-to-value, exceptional customer success, and deep integrations across the data stack is making a direct impact on the organizations using our platform to ensure data quality and reliability. 

In the Fall 2024 awards, we were recognized as #1 in the entire Data Observability category and #1 in both Relationship Index and Momentum in Data Quality, along with 34 additional badges — including Database Monitoring, Enterprise Leader and DataOps Platforms, Leader.

The positive feedback continues to roll in because we never stop investing in improving our user experiences and our customers’ data quality. 

Over the last few months, that includes valuable new features like: 

• Our Data Operations Dashboard, which gives teams scannable visibility into where incidents are happening and how long they’re persisting, and helps data leaders improve data governance by tracking multiple teams or data product owners against approved incident management standards. 
• AI-powered Monitor Recommendations that leverage the power of data profiling to suggest appropriate monitors based on rich metadata and historic patterns — greatly simplifying the process of discovering, defining, and deploying field-specific monitors.
• No-code Validation Monitors that allow all members of the data team, regardless of their SQL proficiency, to set business-critical data validation monitors with hard thresholds on specific, important fields.

At the same time, we’re committed to providing our customers with strategic guidance and support around best practices for observability and incident management — especially in the age of generative AI. Since the success of AI products depends on the quality of the data itself, we’re continually looking for ways to help organizations improve their AI-readiness. That’s why our co-founder and CEO Barr Moses helped develop the Trusted Data for AI (TDAI) Advisory Council to help uncover and distribute best practices around data reliability for AI. And it’s why we continue to support and share the successful GenAI use cases achieved by leading data teams. 

In the age of GenAI, enabling teams to monitor and improve data quality is more important than ever. According to Andy Turner, Director of Data & AI at PrimaryBid, “In the last 18 months to two years, data has become a tier one service offered by the business — both to internal users, and now to external partners as well. Things being broken or processes not working is no longer acceptable. It’s no longer ‘We can’t do this week’s report’ — it’s ‘A client is unable to get value from a data product they’ve paid for’. In my opinion, that pivot means data observability is massively more important than it was five years ago.” 

“Monte Carlo’s automated monitors have given us the scale and coverage we need to build trust with our internal and external data consumers, but we can also set custom, granular alerts to ensure service levels are being upheld,” said Matt Wurst, Senior Director, Software Engineering at Accolade. “Monte Carlo has made our data team more efficient and now operational stakeholders feel more confident using data to make decisions.” 

This full breadth-and-depth approach to data observability requires coverage across the entire data stack, so we’ve continued to layer on robust integrations with new partners. That includes automatically monitoring, alerting, and triaging data quality issues across MotherDuck and DuckDB warehouses; increasing visibility into data workflows with data discovery platform Select Star; and safeguarding data quality in lakehouse platform Dremio.

We’re also honored to have been recognized as a Leader in the GigaOm Radar for Data Observability, and named as Exemplary in the Ventana Research Buyers Guide: Data Observability. But since our G2 recognition is rooted in our own customers’ perception of the value we provide, this fall’s awards are uniquely significant. 

We’re celebrating 25 #1 G2 awards, including:  

1. Leader in Data Observability
2. Leader in Data Quality
3. Leader in Enterprise Data Quality
4. Leader in Database Monitoring
5. Leader in Enterprise Grid for Database Monitoring 
6. Leader in Relationship Index for Data Quality 
7. Leader in Momentum for Data Quality
8. Leader in Enterprise Relationship for Data Quality
9. Leader in Europe Regional Grid for Data Quality 
10. Leader in EMEA Regional Grid for Data Quality
11. Leader in Mid-Market Grid for Data Observability 
12. Leader in Mid-Market Grid for Database Monitoring
13. Leader in Mid-Market Grid for Data Quality
14. Leader in Mid-Market Relationship Index for Database Monitoring
15. Leader in India Regional Grid for Data Observability
16. Leader in Enterprise Relationship Index for Database Monitoring
17. Leader in Asia Regional Grid for Data Observability
18. Leader in Asian Pacific Regional Grid for Data Observability
19. Leader in Mid-Market Relationship Index for Data Quality
20. Leader in Mid-Market EMEA Regional Grid for Database Monitoring
21. Leader in Enterprise EMEA Regional Grid for Database Monitoring
22. Leader in Mid-Market Europe Regional Grid for Database Monitoring
23. Leader in EMEA DataOps
24. Leader in Europe Regional DataOps
25. Momentum Leader in DataOps

Of course, you don’t have to take our word for it. Here’s what our customers have to say about working with Monte Carlo: 

If you’d like to learn more about how data observability improves data reliability and supports AI-readiness, reach out to me and the rest of the Monte Carlo team! 

Our promise: we will show you the product.