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See Bigeye in Action

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Bigeye vs. Monte Carlo

What's the difference? Explore how Bigeye's 20+ years of enterprise lineage expertise delivers true enterprise readiness for complex, hybrid data environments - while Monte Carlo's cloud-first approach leaves critical gaps.

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“We really like that Bigeye lets us deploy monitoring as code and also monitor changes to the data models in our software development cycle. We’re not doing anything like that with Monte Carlo today.”

Senior Data Engineer
Fortune 500 Insurance and Banking Company

Why data teams chose Bigeye over Monte Carlo 

Built for hybrid environments from day one.

Proven scalability

We monitor thousands of schemas and tens of thousands of tables seamlessly. Monte Carlo customers report performance issues at 30,000+ tables. We stress-test our anomaly detection system to ensure reliable performance at enterprise scale.

Less alert fatigue

Our AI learns your data patterns and alerts you only when issues require action. We eliminate the false positives that waste your team's time.

Legacy-First Support

We monitor Oracle, DB2, and SQL Server with the same depth as modern cloud platforms. Our 70+ connectors deliver column-level lineage and anomaly detection across hybrid environments.

Bigeye vs. Monte Carlo

End-to-end lineage
Legacy database support
Connector coverage
Alert management
Scale performance
Bigeye
Column-level lineage across all connectors
First-class support for legacy and hybrid environments
70+ connectors and growing
Tailored notifications that eliminate alert fatigue
Stress-tested at enterprise scale
Monte Carlo
Many connectors restricted to only monitoring with limited or no lineage 
Better for cloud based platforms. Lack of legacy support. 
Limited on-prem and legacy connectors 
Customers report alert fatigue from constant notifications 
Reported performance issues at 30,000+ tables

Enterprise Success At Scale

customer story

Scaling enterprise data management with Bigeye

Learn how Bigeye is helping Freedom Mortgage achieve their mission of helping veterans and low-income borrowers buy homes.

customer story

Delivering trusted data products to the enterprise

Learn how Bigeye is helping Zoom achieve their vision of delivering trusted data products to business decision makers.

customer story

Bringing Reliability to CI/CD Data Pipelines

Mayan uses Bigeye to validate data pipeline merges and deliver self-serve analytics dashboards at scale.

Growth

customer story

Reliability at scale for highly-sensitive industries

About Crux: Solving tough data problems at scale

Growth

customer story

A Strong Data Culture Gets Stronger with Trusted Data

With Bigeye, Udacity has one place to understand data quality and has reduced detection times from 3+ days to under 24 hours.

Enterprise

customer story

Embracing risk without sacrificing reliability

Impira uses Bigeye as the safety net for its dynamic go-to-market strategy — ensuring that the team can move fast with reliable data.

Machine learning

customer story

Managing big data with a nimble team

Learn how the SimpleRose team uses Bigeye to deliver reliable data for large-scale data operations.

Big data

customer story

Driving marketing performance with reliable testing data

Learn how JustAnswer uses Bigeye to ensure optimal marketing results and drive customer acquisition and revenue performance for their business.

Business-logic monitoring

Monitoring and lineage for all 70+ connectors

Where Monte Carlo provides monitoring-only support, Bigeye delivers both monitoring and lineage across legacy and hybrid environments.
Connector
Monitoring
Lineage
Company
Bigeye
MC
Bigeye
MC
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Need help switching from Monte Carlo?

If you're frustrated with limited legacy support, alert overload, or performance issues, you're not alone. 
Our professional services team makes switching from Monte Carlo straightforward. We handle connector migration, setup, and team training so you can start getting the data observability you actually need. 
Contact professional services

See What Bigeye Customers Think

Trusted by Leading Enterprise Data Teams

Make the Right Enterprise Decision

Bigeye was built to support scale, complexity, and hybrid infrastructure from day one. And if you’re just getting started, our professional services team can help you set up observability the right way, without the guesswork.