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Monte CarloVerified

Seat and usage sync available

Monte Carlo provides data observability that monitors data quality, freshness, volume, and schema changes across the data stack to detect and resolve data issues.

Pricing

Usage-based

Founded

2019

Team size

201-500 employees

Headquarters

San Francisco, California

Product Preview

Monte Carlo preview

Preview from montecarlodata.com

At a glance

Best for

Startup (1-50), Small business (51-200), Mid-market (201-1,000), Enterprise (1,000+)

Pricing model

Tiered plans

Integrates with

LangchainSnowflake IntelligenceDatabricks GenieDatabricksHive+5

About Monte Carlo

Monte Carlo provides end-to-end data observability by monitoring data quality across pipelines, warehouses, and lakes. The platform automatically detects anomalies in freshness, volume, schema, and distribution without manual rule configuration.

Root cause analysis and impact analysis help data teams quickly understand and resolve data incidents. Integration with dbt, Snowflake, BigQuery, and Databricks provides comprehensive coverage.

Where this fits

Pricing

Usage-basedTiered plans

Sync Monte Carlo with Cubbie

Cubbie connects straight to the Monte Carlo admin API, so your seats, usage, and plan stay current without anyone updating a spreadsheet. That is what turns renewals and unused licenses into something you can act on.

Account user rosterSeat countUser emails

Connecting takes about a minute. Paste a read-only key from your Monte Carlo admin settings. Cubbie never writes to your account.

Buyer Fit & Positioning

Procurement & Fit

Structured facts from the vendor to help your security, finance, and procurement reviews move faster.

Trust

Security & compliance

The vendor hasn’t added security or compliance details yet.

Pricing

Commercial model

Pricing model: Tiered plans

Free trial: No

Free plan: No

Contract minimum: Not specified

Procurement

Purchasing & legal

The vendor hasn’t added purchasing & legal details yet.

Fit

Best-fit company size

Startup (1-50)Small business (51-200)Mid-market (201-1,000)Enterprise (1,000+)

Implementation & Procurement

Commercial Fit & Ecosystem

Proof, Outcomes & Momentum

Alternatives, Migration & Buyer Objections