Data Observability Platform Pricing

Pricing & Plans

Start

All you need to make data reliable for one team

Monitoring for Data Warehouse, Business Intelligence, ETL
Incident triaging, troubleshooting and root cause analysis
Lineage
Performance observability
Self-guided onboarding
Up to 10 users
Pay per table up to 1,000 tables
10,000 API calls / day

Scale

Data observability for all your teams and domains

Everything in the Start plan and the below features

Monitoring for lakes: Databricks, Hive, Glue, Azure Data Lake
Monitoring for databases: MySQL, Postgres, SQL Server
Monitoring for GenAI pipelines: Kafka, Pinecone
Data Mesh support: Data Products, Domains
Advanced security: SSO, Customer-hosted storage, PII Filtering
Incident Response Automation: Webhooks
Advanced networking: Customer-hosted agent, PrivateLink (available add-on)
Expert guided onboarding + 48 hour support SLA
Pay per table
50,000 API calls / day

Enterprise

End-to-end coverage for the enterprise

Everything in the Scale plan and below features:

Monitoring for EDW: Oracle, SAP Hana, Teradata
Multi-workspace support for testing and development
Enterprise productivity + governance: ServiceNow, Data Catalogs
Audit logging
Expert guided onboarding and scaling + 24 hour support SLA
Unlimited users
Pay per table
100,000 API calls / day

Trusted by hundreds of enterprise data teams

With 500+ deployments across Pharma, FinServ, Retail, CPG, and more industries, Monte Carlo is the leader in data quality and observability according to G2, Gartner Peer Insights, and more.

#1 Data Observability Platform

Data breaks. Ensure your team is the first to know and solve with data observability.

Automated data quality coverage across your stack

Out-of-the-box data quality and pipeline checks, as well as automated data profiling, with alerts sent directly to where your team works.

End-to-end visibility with field-level lineage

Understand what data matters to your business so you know where to deploy rules - and what’s impacted when data breaks.

Triage and resolution at your fingertips

Give teams the ability to assign incident severity and owners, triage issues, and quickly uncover root cause so they can get back to business.

Learn why today’s leading data teams rely on Monte Carlo for data observability.

"This is an awesome tool for data governance and insights. ML powered monitoring helps in catch any anomalies or mismatches. Also has a pretty good data lineage solution. The inbuilt custom monitoring solution is very help full if you want to build something specific to your use case. The support is very good. Its very easy to use and implementation is a breeze. I use this pretty much daily."

Enterprise Data Leader at Financial Services

"The tool excels in providing monitoring and automated data quality checks, which are crucial for maintaining data integrity. Its intuitive UI, clear, actionable insights, data lineage, and anomaly detection features are highly effective at identifying issues before they impact decision-making. Additionally, Monte Carlo’s proactive alerting system ensures that data issues are addressed promptly, enhancing overall data reliability."

Lead Data Engineer at Earnest

“Data observability is becoming more than just data quality, it’s becoming a a cultural fit and approach. on how companies or teams are actually looking into their data. Because companies look at data as an essential resource that they want to use for their crucial operations or bring out value, they understand that having high-quality data is becoming a crucial part of their business."

Senior Data Engineer at Checkout.com

Ready to set a company record for time-to-resolution?

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