Bigeye vs. Monte Carlo
What's the difference? Explore how Bigeye 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.”
Why data teams chose Bigeye over Monte Carlo
Proven scalability
We monitor thousands of schemas and tens of thousands of tables seamlessly. Monte Carlo customers report performance issues at 30,000+ tables.
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
Enterprise Success At Scale
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Monitoring and lineage for all 70+ connectors
Need help switching from Monte Carlo?
See What Bigeye Customers Think
Bigeye helped our organization to monitor our 130 pipelines. We were able to automated our incident process.
- Data and Analytics Manager, Construction
The Bigeye team has been easy to work with and responsive to our needs. We found it easy to integrate Bigeye without data, setting up basic monitoring was easy and there are lots of advanced options for those looking.
- Sr. Director of Data and Analytics, Hospitality
Fantastic experience. The Bigeye team setup a POC environment for us so we could see their product in action with our data. Once we decided to move forward their team helped us to get the product implemented quickly.
- CIO, Transportation
The install/configure process was smooth and easy. Bigeye helped us every step of the way .The AI/ML behind the scenes is pretty powerful, and performance was good. The tool was able to scale easily.
- VP, Banking
Bigeye plays an into an important role in data quality for our company and we are expanding the use since we implemented it.
- Engineer, Software
The support we have received from the Bigeye team has been outstanding.
- Senior Data Expert, Software
Bigeye is a great observability tool, particularly for technical teams to implement observability into their pipelines and monitor data health.
- Technical Product Owner, Consumer Goods
Bigeye is capable of providing critical data quality insights with very little effort on the part of the user. The best part is the ability to launch auto metrics without having to specify specific things, while still maintaining functionality to launch complex monitoring.
- Engineer, Services
What I like most is: 1) Automation, being able to increase the bandwidth of our data monitoring team by taking some of the load off of their shoulders. 2) Ease of deployment of metrics across multiple data sources. 3) Receptiveness to customer feedback and fantastic troubleshooting support.
Wonderful delivery by the Bigeye team. Friendly to work with and easy to resolve issues and add enhancements.
- Product Manager, Banking
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.
