Data + AI observability for all your teams and domains. Monte Carlo’s usage-based pricing provides flexibility to fit your team’s needs. Complete the order form to get started.
Complete Order Form
Service Tier: Scale
Credit Rate: $0.25 per Credit*
Deployment Model: Cloud Deployment
Monitoring. The Monte Carlo Service offers a variety of monitors to provide alerts when a set of conditions about Customer data, metadata and infrastructure are met (“Monitors”). Monitors consume credits (“Credits”) at the consumption rates provided at https://docs.getmontecarlo.com/docs/version-21 (or such successor URL as may be designated by Monte Carlo) (the “Consumption Rates”), which is hereby incorporated into this Order Form and made a part hereof. The different categories of Monitors available for the Service are described in the Consumption Rates link above.
Service Inclusions on the Scale Tier:
- Integrations 1x BI and 1x Orchestration Integrations
- Unlimited users
- Pay per credit
- 50,000 API calls / day
- Monitoring for Data Warehouse, Business Intelligence, ETL
- Incident triaging, troubleshooting and root cause analysis
- Performance observability
- Lineage
- Monitoring for lakes: Databricks, Hive, Glue, Azure Data Lake
- Monitoring for databases: MySQL, Postgres, SQL Server
- Monitoring for GenAI pipelines: Kafka, Pinecone
- Incident triaging, troubleshooting and root cause analysis
- Data Mesh support: Data Products, Domains
- Advanced security: SSO, Customer-hosted storage, PII Filtering
- Advanced networking: Customer-hosted agent, PrivateLink (available add-on)
- Expert guided onboarding + 48 hour support SLA
- Monthly billing with payment due upon receipt of invoice. Credit card payment available.
End-to-end visibility, automated monitoring, and targeted notifications. All available in minutes, not days.
Don’t just sound the alarm when data incidents occur. Empower your data teams to resolve incidents in minutes.
Out-of-the-box coverage across all your data tables, opt-in monitors for key assets, and monitors-as-code.
Rich insights enable your team to proactively ensure data quality, and make better infrastructure investment decisions.