Monte Carlo review
Monte Carlo is a data and AI observability platform that monitors warehouse tables, pipelines and AI agents for anomalies. It ranks #8 of 12 in our data monitoring testing tools list (8.3/10). Best for mid-size and large data teams that want automated monitoring across a warehouse, ETL and BI stack.
Also ranked in Data Quality Tools (#16, 7/10).
Price: Quote-only pricing.
What Monte Carlo is
Monte Carlo monitors tables for freshness, volume and schema changes with learned thresholds, and adds metric, validation and custom SQL monitors. Alerts go to Slack, Microsoft Teams, email, PagerDuty and other tools, and field-level lineage is used for root-cause and impact analysis.
Pros and cons
- Table monitors learn normal update, size and growth patterns, so freshness and volume coverage needs little manual threshold setting
- Notification audiences can route alerts to Slack, Microsoft Teams, email, PagerDuty, Opsgenie, Webex, Jira, ServiceNow and webhooks
- Monitors can be defined as code (YAML) as well as in the UI
- Also monitors AI agents (agent evaluation, metric, trajectory and validation monitors)
- No published prices; every tier says 'Request pricing'
- Credit-based, pay-per-monitor billing makes cost harder to predict
- SSO, SCIM and audit logging start at the Scale tier, not Start
- Oracle, SAP HANA, Teradata and Microsoft Fabric connectors are Enterprise-tier only
Monte Carlo pricing
| Plan | Billed annually | Billed monthly | Annual saving | Notes |
|---|---|---|---|---|
| Start | Custom quote | Custom quote | — | Request pricing. Credits billed per monitor; up to 10 users, up to 1,000 monitors, 10,000 API calls/day |
| Scale | Custom quote | Custom quote | — | Request pricing. Unlimited users; adds SSO, SCIM, PII filtering, audit logging, Databricks/Glue/MySQL/Postgres/SQL Server |
| Enterprise | Custom quote | Custom quote | — | Request pricing. Adds multi-workspace, chargebacks, Oracle/SAP HANA/Teradata/Microsoft Fabric connectors |
| Business Critical | Custom quote | Custom quote | — | Request pricing. Adds dedicated instance and disaster recovery with region rollover |
USD, per user per month unless noted. "—" means the price is not published or we could not confirm it. Last checked Nov 15, 2026. Status: verified on Monte Carlo's pricing page.
Key facts
| Free plan | No |
|---|---|
| Free trial | Not advertised |
| Paid from | Quote-only (contact sales) |
| Minimum seats | 1 |
| Platforms | Cloud (SaaS) |
| Compliance and security | SSO (Scale tier and above), SCIM (Scale tier and above) |
| Support | 24-hour support SLA (Start), 8+ hour SLA (Scale), 4+ hour SLA (Enterprise), Docs |
| ML anomaly detection | Yes |
| Freshness and volume checks | Yes |
| Alerts (email, Slack or Teams) | Yes |
| Data lineage | Yes |
| Custom rule checks | Yes |
| Facts checked | Nov 15, 2026 · verified on the vendor's own site (source) |
Also ranked in
Monte Carlo is ranked in 2 of our lists: #8 of 12 in Data Monitoring Testing Tools, and:
Monte Carlo alternatives
Frequently asked questions
How much does Monte Carlo cost?
Monte Carlo has no free plan; paid plans are quote-only (contact Monte Carlo sales). Prices last checked Nov 15, 2026.
Is Monte Carlo free?
No. Monte Carlo has no permanent free plan.
What are the best Monte Carlo alternatives?
Soda (9.6/10), Elementary (9.2/10), Metaplane (9.2/10) are the highest-scoring alternatives in our data monitoring testing tools ranking.