Link copied to clipboard # Great Expectations vs Monte Carlo Comparison - What are their main differences? Share [ Export ](/compare/great-expectations/monte-carlo/export.csv) Great ExpectationsMonte Carlo[+ Add Product](#) Pricing **Great Expectations** No pricing available **Monte Carlo** No pricing available **Pricing Insights** from reviews Perceived Cost **Great Expectations** Not enough reviews yet **Monte Carlo** $$$$$ Average Discount **Great Expectations** Not enough reviews yet **Monte Carlo** 19% Uncover valuable pricing insights from real user feedback to improve your shopping experience. See it for free Time to Implement **Great Expectations** 6 months Based on 100 responses **Monte Carlo** 6 months Based on 100 responses Return on Investment **Great Expectations** 6 months Based on 100 responses **Monte Carlo** 6 months Based on 100 responses ![Great Expectations](https://images.g2crowd.com/uploads/product/hd_favicon/321f1fcf10cf80906774d79401375343/great-expectations.svg "Great Expectations") ![Monte Carlo](https://images.g2crowd.com/uploads/product/hd_favicon/4ee77be496500644e055bc774924d023/monte-carlo.svg "Monte Carlo") G2 offers free advice on this comparison. Chat with an expert How would you like to receive Software Advice? ![](/assets/advisor_router/laptop_form-f1a7012279826105416befde8d882ffc7589b1f9db09c93a1379d601cafe8e0d.svg) FormAnswer questions at your own pace, no call required. ![](/assets/advisor_router/ai_agent-4d78629a3ba354fed449a65c60df3a6f2eda90fb98411b711df4b25d7be52a38.svg) AI AgentChat live and get a recommendation in minutes. ![](/assets/advisor_router/phone_call_picker-c48821ec36f4182d8ee3e54cfbd3937500eec54d7b7e0cfb80dc80a8a733842f.svg) Phone CallTalk it through live with a software advisor. **Pros & Cons** from reviews **Great Expectations** Not enough data **Monte Carlo** Ease of Use (112) Alerts (107) Alert Management (68) Alert Overload (62) Integrations **Great Expectations** Not enough data **Monte Carlo** [ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_7c8d43b5b00c44acc1a3d106c9a36f4c/alation.png "Product Avatar Image") Alation ](https://www.g2.com/products/alation/reviews)[ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_b3390b4cc3d92e87d570895f7358c003/amazon-athena.jpg "Product Avatar Image") Amazon Athena ](https://www.g2.com/products/amazon-athena/reviews)[ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_b3390b4cc3d92e87d570895f7358c003/amazon-redshift.jpg "Product Avatar Image") Amazon Redshift ](https://www.g2.com/products/amazon-redshift/reviews)[ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_a697fff464fa3e9e9509f963fc269fe1/anthropic-sdk.png "Product Avatar Image") Anthropic SDK ](https://www.g2.com/products/anthropic-sdk/reviews)[ View all ](https://www.g2.com/products/monte-carlo/integrations) Screenshots **Great Expectations** No screenshot available **Monte Carlo** ![Monte Carlo screenshot](https://images.g2crowd.com/cdn-cgi/image/width=600,height=600,fit=scale-down,format=auto,onerror=redirect,/https://images.g2crowd.com/uploads/attachment/file/1849247/agent-dashboard%282%29.png) **Ratings** from reviews Meets Requirements **Great Expectations** **9.2** /10 Based on 11 responses **Monte Carlo** **8.4** /10 Based on 515 responses Ease of Use **Great Expectations** **9.1** /10 Based on 9 responses **Monte Carlo** **8.3** /10 Based on 525 responses Ease of Setup **Great Expectations** **9.2** /10 Based on 6 responses **Monte Carlo** **8.2** /10 Based on 380 responses Ease of Admin **Great Expectations** **8.3** /10 Based on 6 responses **Monte Carlo** **8.5** /10 Based on 176 responses Quality of Support **Great Expectations** **8.5** /10 Based on 10 responses **Monte Carlo** **9.0** /10 Based on 459 responses Has the product been a good partner in doing business? **Great Expectations** **8.6** /10 Based on 6 responses **Monte Carlo** **9.3** /10 Based on 179 responses Product Direction (% positive) **Great Expectations** **10.0** /10 Based on 10 responses **Monte Carlo** **8.8** /10 Based on 495 responses **Features** ratings from reviews Data Observability **8.8** /10 Based on 11 responses **7.6** /10 Based on 402 responses Database Monitoring Not enough data **7.6** /10 Based on 273 responses DataOps Platforms Not enough data **7.6** /10 Based on 62 responses Uncover more feature rated insights from real users to improve your shopping experience. See it for free AI Agent Observability Not enough data **9.3** /10 Based on 19 responses Data Quality Not enough data **7.0** /10 Based on 207 responses User Insights **Reviewers' Company Size** Small-Business(50 or fewer emp.) 36.4% Mid-Market(51-1000 emp.) 45.5% Enterprise(\> 1000 emp.) 18.2% Small-Business(50 or fewer emp.) 36.4% Mid-Market(51-1000 emp.) 45.5% Enterprise(\> 1000 emp.) 18.2% Small-Business(50 or fewer emp.) 4.8% Mid-Market(51-1000 emp.) 42.9% Enterprise(\> 1000 emp.) 52.3% Small-Business(50 or fewer emp.) 4.8% Mid-Market(51-1000 emp.) 42.9% Enterprise(\> 1000 emp.) 52.3% **Reviewers' Industry** [![Great Expectations](https://images.g2crowd.com/uploads/product/hd_favicon/321f1fcf10cf80906774d79401375343/great-expectations.svg "Great Expectations")](https://www.g2.com/products/great-expectations/reviews) Great Expectations Accounting 36.4% Information Technology and Services 18.2% Telecommunications 9.1% Security and Investigations 9.1% Online Media 9.1% Other 18.2% [![Monte Carlo](https://images.g2crowd.com/uploads/product/hd_favicon/4ee77be496500644e055bc774924d023/monte-carlo.svg "Monte Carlo")](https://www.g2.com/products/monte-carlo/reviews) Monte Carlo Financial Services 13.2% Computer Software 11.9% Information Technology and Services 11.9% Manufacturing 3.9% Marketing and Advertising 3.3% Other 55.8% Alternatives **Great Expectations Alternatives** ![Soda](https://images.g2crowd.com/uploads/product/hd_favicon/e638e91488c4eb39ed2012d3148576e6/soda-data.svg "Soda") [ Soda ](/products/soda/reviews) ![Demandbase One](https://images.g2crowd.com/uploads/product/hd_favicon/c774a027c587be17b366c706735319c9/demandbase-one.svg "Demandbase One") [ Demandbase One ](/products/demandbase-one/reviews) ![GTM Studio - Powered by ZoomInfo](https://images.g2crowd.com/uploads/product/hd_favicon/8ada573c8501ec5365b452cfec53ba0d/gtm-studio-powered-by-zoominfo.svg "GTM Studio - Powered by ZoomInfo") [ GTM Studio - Powered by ZoomInfo ](/products/gtm-studio-powered-by-zoominfo/reviews) ![Planhat](https://images.g2crowd.com/uploads/product/hd_favicon/419a7323b926f3ff16b400b2b7ca40c1/planhat%282%29.svg "Planhat") [ Planhat ](/products/planhat/reviews) **Monte Carlo Alternatives** ![Acceldata](https://images.g2crowd.com/uploads/product/hd_favicon/217af7b707bcb9be751e0cd2ddba555c/acceldata.svg "Acceldata") [ Acceldata ](/products/acceldata/reviews) ![Anomalo](https://images.g2crowd.com/uploads/product/hd_favicon/40db1259c5ed0bc7a1b41544f2917478/anomalo.svg "Anomalo") [ Anomalo ](/products/anomalo/reviews) ![Datadog](https://images.g2crowd.com/uploads/product/hd_favicon/1498834114/datadog.svg "Datadog") [ Datadog ](/products/datadog/reviews) ![Soda](https://images.g2crowd.com/uploads/product/hd_favicon/e638e91488c4eb39ed2012d3148576e6/soda-data.svg "Soda") [ Soda ](/products/soda/reviews) ## Great Expectations vs Monte Carlo FAQs Generated using AI Last updated: November 14, 2026 ### What is the difference between Monte Carlo vs Great Expectations? Monte Carlo stands out for broad, automated observability and integrations, while Great Expectations leads on reviewer-rated ease of use and setup. | Dimension | [Monte Carlo](https://www.g2.com/products/monte-carlo/reviews) | [Great Expectations](https://www.g2.com/products/great-expectations/reviews) | | --- | --- | --- | | G2 Rating (reviews) | 4.3/5 (500+ reviews) | 4.5/5 (10+ reviews) | | Largest Segment | Enterprise | — | | Ease of Setup | 8.2/10 | 9.2/10 | | Quality of Support | 9.0/10 | 8.5/10 | | Top Reviewer-Cited Strength | Ease of Use, 100+ mentions | Declarative data validation and documentation | ### How do the pricing models of Monte Carlo and Great Expectations compare? Great Expectations has the stronger reviewer-rated value signal, while recent Monte Carlo reviews describe both value and cost-predictability trade-offs. - **Monte Carlo:** In recent reviews, users say the platform is worth the spend for centralized monitoring and automation, while others describe pricing as difficult to predict and manage. - **Great Expectations:** Recent reviews describe the open-source framework as available without spending money, and value its automated data testing and reduced manual work. - **Switching considerations:** Recent Monte Carlo reviewers cite unpredictable costs and billing complexity as concerns; Great Expectations reviewers cite ongoing maintenance and technical setup as trade-offs. ### What are the best alternatives to Monte Carlo and Great Expectations? Soda, Acceldata, and Anomalo are the top three G2-ranked alternatives to Monte Carlo and Great Expectations. | Product | G2 Rating (reviews) | Largest Segment | Pricing Insight | Top Reviewer-Cited Strength | | --- | --- | --- | --- | --- | | [Monte Carlo](https://www.g2.com/products/monte-carlo/reviews) | 4.3/5 (500+ reviews) | Enterprise | Recent reviewers describe value alongside concerns about cost predictability. | Automated monitoring, alerting, and data lineage | | [Great Expectations](https://www.g2.com/products/great-expectations/reviews) | 4.5/5 (10+ reviews) | — | Recent reviewers value its open-source availability without spending money. | Declarative validation, automated profiling, and data documentation | | [Soda](https://www.g2.com/products/soda/reviews) | 4.4/5 (50+ reviews) | Mid-Market | — | — | | [Acceldata](https://www.g2.com/products/acceldata/reviews) | 4.4/5 (50+ reviews) | Enterprise | — | — | | [Anomalo](https://www.g2.com/products/anomalo/reviews) | 4.4/5 (40+ reviews) | Enterprise | — | — | ### Which AI Agent Observability features should I prioritize when comparing Monte Carlo and Great Expectations? Prioritize ease of use, setup, monitoring and alerting, data quality, and integrations when evaluating Monte Carlo and Great Expectations. - **Ease of use:** Great Expectations scores 9.1/10 versus Monte Carlo at 8.3/10; Monte Carlo has 100+ all-time mentions for ease of use. - **Ease of setup:** Great Expectations scores 9.2/10 versus Monte Carlo at 8.2/10. Recent Great Expectations reviews value its CLI and documentation, while Monte Carlo reviews cite quick onboarding alongside setup effort in some environments. - **Monitoring and alerting:** Monte Carlo has 100+ all-time mentions for alerts and 90+ for monitoring. Recent reviewers highlight anomaly detection, incident triage, and alert routing. - **Data quality:** Monte Carlo has 50+ all-time mentions for data quality. Recent Great Expectations reviews emphasize validation, profiling, and data documentation. - **Integrations:** Monte Carlo has 50+ all-time mentions for easy integrations; recent reviews cite connections to data platforms and notification tools. ### What are the pros and cons of Monte Carlo vs Great Expectations? Monte Carlo’s headline strength is automated observability and alerting; Great Expectations’ is configurable data validation and documentation. - **Monte Carlo strengths:** Reviewers praise automated anomaly detection, monitoring, lineage, integrations, and AI-assisted triage. All-time mentions include 100+ for ease of use, 100+ for alerts, 90+ for monitoring, and 50+ for data lineage. - **Monte Carlo trade-offs:** Recent reviewers describe alert noise, monitor tuning, UI navigation, and cost predictability as areas requiring attention. - **Great Expectations strengths:** Recent reviewers value Python-based expectations, automated profiling and validation, data testing in pipelines, and generated documentation. - **Great Expectations trade-offs:** Reviewers note that setup and use can require technical knowledge, data-source integration can involve custom code, and the framework needs ongoing maintenance. ### Is Monte Carlo or Great Expectations better for small businesses? Monte Carlo is the better-supported small-business fit in the available segment data, which identifies Enterprise as its largest reviewer segment rather than Small Business. - **Monte Carlo:** Enterprise is the largest reviewer company-size segment; recent reviews describe accessible low-code monitors and straightforward onboarding, alongside setup and cost-management effort. - **Great Expectations:** Recent reviewers value its open-source availability and Python-based validation, while noting that setup and integration can require technical knowledge. ### Which AI Agent Observability platform has better integrations? Monte Carlo has the stronger reviewer signal for integrations, with recent reviews describing broad data-platform connections and alert routing; Great Expectations reviewers cite supported sources and custom integration work. - **Monte Carlo:** G2 reviewers mention Snowflake in 30+ reviews, PagerDuty in 10+ reviews, and Databricks in 10+ reviews. Recent reviews also cite Slack, GitHub, and warehouse and pipeline connections. - **Great Expectations:** Recent reviews cite Snowflake support and describe integrating with other data environments through custom code when needed. ### How do Monte Carlo and Great Expectations compare on customer support? Monte Carlo leads Great Expectations on Quality of Support by 0.5 points, scoring 9.0/10 versus 8.5/10. - **Monte Carlo:** Recent reviewers describe responsive technical support, helpful onboarding, and product-team collaboration; others note that support responses can be less useful when issues require escalation. - **Great Expectations:** Reviewers describe support experiences positively, while one review notes a lower support experience alongside otherwise favorable feedback. ### Which is easier to implement, Monte Carlo or Great Expectations? Great Expectations leads Monte Carlo on Ease of Setup by 1.0 point, scoring 9.2/10 versus 8.2/10; Monte Carlo scores 8.5/10 on Ease of Admin versus Great Expectations at 8.3/10. - **Great Expectations:** Reviewers describe CLI-based context setup and Python execution as workable, but note that initial configuration can involve many steps and technical knowledge. - **Monte Carlo:** Recent reviewers report quick API-level or low-effort onboarding in some environments, while others cite connection setup, security reviews, and monitor configuration as implementation work. ### Which product has better Integrations? Integrations is the most frequently mentioned feature across Monte Carlo and Great Expectations reviews. - **Monte Carlo:** Reviewers rate Ease of Use at 8.3/10 and Ease of Setup at 8.2/10; all-time mentions include 50+ for easy integrations and 40+ for integrations. Recent reviews cite Snowflake, Slack, PagerDuty, GitHub, and Databricks connections. - **Great Expectations:** Reviewers rate Ease of Use at 9.1/10 and Ease of Setup at 9.2/10. Recent reviews cite Snowflake support and describe custom coding to connect some data environments.