Monte Carlo
montecarlo.ai
Data observability platform that detects data quality issues.
Quick Information
- Category:
- Data & Analytics
- Pricing:
- Contact Sales
- Platforms:
- Web, Cloud
- Free Plan:
- No
- API Available:
- Yes
- Last Verified:
- October 2026
What Is Monte Carlo?
Monte Carlo is a data observability platform that detects data quality issues. It does not publish pricing, and the reports conflict. Datatrail says it found Monte Carlo's per-credit rates in two order forms on montecarlo.ai, listing $0.18 per credit on Start and $0.28 on Scale, and from those rates estimates about $115K a year for 1,000 monitored tables on Start and about $179K on Scale, with Enterprise not published. Datatrail sells a competing product, so it may not be neutral. Dataobservability.ai and Modern Data Tools both say Monte Carlo publishes no dollar figures and every tier is quoted through sales. Dataobservability.ai adds that the Start tier is capped at 10 users, 1,000 monitors and 10,000 API calls a day, and Scale at 50,000 API calls a day.
Dataobservability.ai also reports an AWS Marketplace listing of $50,000 for a 12-month contract against a Monte Carlo credit unit, with overage at $0.01 per unit. Data Stack Index, citing Vendr data, puts annual spend at roughly $25K to $120K, sales-led, while Vendor Benchmark, dated about 180 days earlier, reports much higher figures for mid-sized deployments. Nothing confirmed official 2026 pricing for Start, Scale and Enterprise, so check Monte Carlo's pricing page or get a quote.
Monte Carlo suits data teams that need automated monitoring, lineage and alerting across warehouses and pipelines. Smaller teams may find lighter tools cheaper. Compare Atlan, Collibra and dbt. Browse the Data & Analytics tools directory for more.
What Can You Use Monte Carlo For?
Data quality monitoring
Detect issues automatically.
Lineage and alerting
Trace impact.
Monte Carlo Features
- Credit-based pricing — Per order forms (reported).
- Tier caps — Users, monitors, API calls.
- AWS Marketplace listing — $50,000 contract.
Who Is Monte Carlo For?
- Data engineering teams — Reliability.
- Analytics leaders — Trust in dashboards.
Monte Carlo Pros & Limitations
What We Like
- Automated monitoring
- Lineage
- Marketplace purchasing
Limitations
- No public pricing
- Sources conflict, including a competitor's estimate
- Spend estimates run into six figures
Monte Carlo Pricing
| Plan | Price | Main Features |
|---|---|---|
| Start | Reported $0.18/credit (Datatrail); quote via sales | Capped at 10 users, 1,000 monitors, 10,000 API calls/day |
| Scale | Reported $0.28/credit | 50,000 API calls/day |
| Enterprise | Not published | Sales-led |
| AWS Marketplace | $50,000 for 12 months | Overage $0.01 per unit; reported |
Pricing was last verified October 2026. Check the official website for the latest pricing.
AI Listing Jungle Ranking
- Global Rank:
- #774
- Overall Score:
- 54.2/100
- Monthly Users:
- –
- Rank Change:
- ▲ 654
This ranking reflects AI Listing Jungle's own independent scoring methodology and is not an endorsement by Monte Carlo or its company. How Our Rankings Work
Frequently Asked Questions
How much does Monte Carlo cost?
Sales-led; estimates range $25K to $120K a year, with a competitor estimating more.
Is there an AWS listing?
Reportedly $50,000 for 12 months.
What are the Start caps?
10 users, 1,000 monitors, 10,000 API calls a day.
Is there a free plan?
None found.
Our Take
Monte Carlo is a leading data observability tool.
Get a quote because estimates vary widely.
Monte Carlo Alternatives
Monte Carlo Comparisons
Ready to try Monte Carlo?
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