[
Monte C... Reviews
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[
Monte C... Reviews
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# Monte Carlo Pricing Overview

[Editedit](https://my.g2.com/monte-carlo/pricings)

Start

Contact Us

[Contact Us](#)

For a small team to get started quickly

- Observability for Agents, ML, Data, and Performance
- Fleet of agents to automate work
- Incident triaging, root cause analysis & lineage
- Self-guided onboarding, 24-hour support SLA
- INTEGRATIONS: Agents developed on Langchain, Snowflake Intelligence, Databricks Genie, and many others
- INTEGRATIONS: Data Warehouse, BI, ETL
- Up to 10 users
- Pay per monitor, up to 1,000
- 10,000 API calls / day

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Scale

Contact Us

[Contact Us](#)

For a scaling company with multiple domains

- Everything in Start
- Advanced security: SSO, SCIM, self-hosted storage, PII filtering, audit logging
- Automation: data exports, webhooks
- Data mesh support: unlimited data products, domains
- FDE services available, 8+ hour support SLA
- ADDITIONAL INTEGRATIONS: Lakes -\> Databricks, Hive, Glue, Azure Data Lake
- ADDITIONAL INTEGRATIONS: Databases -\> MySQL, Postgres, SQL Server
- Unlimited users
- Pay per monitor
- 50,000 API calls / day

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Enterprise

Contact Us

[Contact Us](#)

End-to-end coverage and governance for the enterprise

- Everything in Scale
- Multi-workspace support for testing and development
- Advanced enterprise cost attribution ("chargebacks")
- FDE services available, 4+ hour support SLA
- ADDITIONAL INTEGRATIONS: EDW -\> Oracle, SAP Hana, Teradata, Microsoft Fabric
- ADDITIONAL INTEGRATIONS: Enterprise productivity + governance -\> ServiceNow, Data Catalogs
- ADDITIONAL INTEGRATIONS: Fully customizable bring-your-own-integration
- Unlimited users
- Pay per monitor
- 100,000 API calls / day

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Business Critical

Contact Us

[Contact Us](#)

Maximum availability and resiliency for mission-critical environments

- Everything in Enterprise
- Dedicated instance
- Disaster recovery: rollover to a different region
- Unlimited users
- Pay per monitor
- 100,000 API calls / day

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Monte Carlo makes it easy to get started with and scale data + agent observability at each stage of your company’s growth. All tiers include access to Agent Observability, ML Observability, Data Observability, and a fleet of agents to automate work. Buy credits and consume them based on our Consumption Rates. View tiers and request pricing here: https://montecarlo.ai/request-for-pricing/

Monte Carlo has 4 pricing editions. Look at different pricing editions below and see what edition and features meet your budget and needs.

Pricing information for Monte Carlo is supplied by the software provider or retrieved from publicly accessible pricing materials. Final cost negotiations to purchase Monte Carlo must be conducted with the seller.
Pricing information was last updated on June 03, 2026

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## Pricing Insights

Averages based on real user reviews.

### Time to Implement

2 months

### Return on Investment

9 months

### Average Discount

20%

### Perceived Cost

$$$$$

## How much does Monte Carlo cost?

Data powered by [BetterCloud](https://www.bettercloud.com).

Estimated Price

### $$k - $$k

Per Year

Based on data from 6 purchases.

Get Price Estimate

## Top-Rated Alternatives

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## Monte Carlo Pricing Reviews
(2)

 ![Verified User in Insurance](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Insurance")
UI

Verified User in Insurance

Enterprise (\> 1000 emp.)

2/8/2026

More Options
- 
- [Respond as Monte Carlo](https://www.g2.com/survey_responses/monte-carlo-review-12329136/official_response/new)

"Makes Monitoring Our GCP Pipelines So Much Easier"

5/5

What do you like best about Monte Carlo?

The way Monte Carlo surfaces anomalies in data freshness and pipeline behaviour is extremely helpful. It lets our team catch quality issues before they impact downstream users. The custom SQL query alerts are very accurate, and they save me a lot of time by pointing me straight to where things are breaking. Review collected by and hosted on G2.com.

What do you dislike about Monte Carlo?

The email alert formatting is restrictive — it’s difficult to insert clean tables or richer layouts for downstream users. More Outlook‑style formatting support would be a big improvement Review collected by and hosted on G2.com.

What problems is Monte Carlo solving and how is that benefiting you?

For me, the biggest value is the strong integration with Google Cloud. Monte Carlo picks up on freshness and pipeline issues across our GCP stack without any extra overhead. The custom SQL alerts are also a huge benefit — they let me monitor exactly what matters for our engineering datasets and surface issues in a very targeted way. Together, these help me identify problems early and keep downstream users informed Review collected by and hosted on G2.com.

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Current UserValidated ReviewerIncentivizedSource: G2 invite on behalf of seller

 ![Steve L.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Steve L.")
SL

Steve L.

Data Engineer

Enterprise (\> 1000 emp.)

10/30/2023

More Options
- 
- [Respond as Monte Carlo](https://www.g2.com/survey_responses/monte-carlo-review-8781043/official_response/new)

"Monte Carlo Integration for GCP DWH"

3.5/5

What do you like best about Monte Carlo?

Monte Carlo helps us keep a close eye on our data warehouse. Examples include notifying us of major changes in volume or freshness, which helps us get ahead of potential issues, and table / column lineage, which lets us see the impact of any changes to dependent tables / reports. I'm sure there are other useful features which we haven't explored yet too. Review collected by and hosted on G2.com.

What do you dislike about Monte Carlo?

The cost has increased considerably meaning we've had to monitor less tables to stay in budget. Would like more customisation on notifications as they can be quite verbose and the ability to interact with the notifications in GChat like we used to have in Slack. Maybe a few more options around the Inisght reports would be useful too. Review collected by and hosted on G2.com.

What problems is Monte Carlo solving and how is that benefiting you?

Daily warehouse changes and issues.

Impact assessment.

Old / unused fields and tables. Review collected by and hosted on G2.com.

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Rating Updated (12/16/2025)
Current UserValidated ReviewerSource: Organic

Monte Carlo Comparisons

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4.4/5

(41)

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4.4/5

(722)

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4.4/5

(55)

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