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Compare Metaplane and Monte Carlo 
At a Glance
Market Segments
Mid-Market (65.5% of reviews)
Enterprise (50.7% of reviews)
Entry-Level Pricing
Free 10 Monitored Tables Per Month
Contact Us
Metaplane
Star Rating
(116)4.8 out of 5
Market Segments
Mid-Market (65.5% of reviews)
Pros & Cons
Entry-Level Pricing
Free 10 Monitored Tables Per Month
Browse all 3 pricing plansMonte Carlo
Star Rating
(470)4.4 out of 5
Market Segments
Enterprise (50.7% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Monte Carlo excels in overall user satisfaction, boasting a higher G2 Score compared to Metaplane. Users appreciate its real-time alerts for data quality issues, which have significantly improved their ability to address problems proactively before stakeholders notice them.
- According to verified reviews, Monte Carlo has a substantial lead in the total number of reviews, indicating a broader user base and more reliable feedback. Users highlight its continuous feature updates, making it more intuitive and easier to use over time.
- Users say that Metaplane shines in its ease of setup and integration capabilities. Many reviewers mention how quickly they could get started with the tool, appreciating features like automated anomaly detection that save time on manual checks.
- Reviewers mention that while Metaplane has a higher star rating, it has fewer recent reviews, which may suggest less current user engagement. However, users still commend its proactive detection of data quality issues, which helps teams identify root causes swiftly.
- G2 reviewers report that Monte Carlo provides a robust monitoring experience, with features that allow teams to maintain a better sense of data reliability. Users have noted that the tool's alerts help them fix issues before they escalate, enhancing overall data governance.
- According to verified reviews, Metaplane's quality of support is highly rated, with users appreciating the responsiveness and helpfulness of the support team. This aspect is crucial for teams that require quick resolutions to data issues, making it a strong contender for those prioritizing support.
Pricing
Entry-Level Pricing
Metaplane
Free
Free
10 Monitored Tables Per Month
Getting started for individuals and new data teams.
- 10 monitored tables
- 4 users
- Column-level lineage across entire data stack
Monte Carlo
Start
Contact Us
All you need to make data reliable for one team
- Monitoring for Data Warehouse, Business Intelligence, ETL
- Incident triaging, troubleshooting and root cause analysis
- Lineage
Free Trial
Metaplane
Free Trial is available
Monte Carlo
No trial information availableRatings
Meets Requirements
9.2
104
8.3
437
Ease of Use
9.3
107
8.2
444
Ease of Setup
9.5
73
8.2
308
Ease of Admin
9.3
56
8.5
159
Quality of Support
9.9
102
9.0
391
Has the product been a good partner in doing business?
9.9
56
9.3
162
Product Direction (% positive)
10.0
102
8.9
433
Features by Category
Functionality
9.6
83
9.0
260
9.5
83
8.8
261
8.3
75
7.8
238
9.4
80
8.3
247
8.7
73
7.7
242
8.7
74
7.4
244
Agentic AI - Database Monitoring
Not enough data
7.1
13
Not enough data
6.9
13
Not enough data
6.9
13
Not enough data
7.1
13
Not enough data
6.8
12
Not enough data
6.5
13
Not enough data
7.1
13
Data Management
Not enough data
8.5
51
Not enough data
8.4
47
Not enough data
8.6
51
Not enough data
7.9
49
Agentic AI - DataOps Platforms
Not enough data
7.2
6
Not enough data
6.0
5
Not enough data
6.3
5
Not enough data
6.3
5
Not enough data
6.3
5
Analytics
Not enough data
7.8
50
Not enough data
7.7
47
Monitoring and Management
Not enough data
9.2
55
Not enough data
7.6
48
Cloud Deployment
Not enough data
7.4
43
Not enough data
7.0
41
Generative AI
Not enough data
6.2
34
Not enough data
6.1
34
Functionality
8.4
77
7.4
291
9.6
88
8.8
323
9.1
81
8.1
294
9.2
85
8.0
300
Management
9.2
88
8.7
319
8.9
78
7.7
287
9.4
85
8.3
311
9.1
83
8.0
305
9.0
86
8.1
312
Generative AI
7.2
36
5.8
231
Agentic AI - Data Observability
Not enough data
6.1
27
Not enough data
6.2
27
Not enough data
6.7
27
Not enough data
6.4
26
Not enough data
6.7
29
Functionality
Not enough data
8.1
187
Not enough data
6.4
174
Not enough data
6.7
169
Not enough data
6.1
164
Not enough data
6.4
165
Management
Not enough data
7.2
169
Not enough data
7.5
169
Not enough data
7.9
167
Not enough data
7.4
175
Not enough data
7.5
169
Generative AI
Not enough data
5.2
145
Not enough data
5.3
145
Categories
Categories
Shared Categories
Metaplane and Monte Carlo are categorized as Database Monitoring and Data Observability
Unique Categories
Metaplane has no unique categories
Monte Carlo is categorized as DataOps Platforms and Data Quality
Reviews
Reviewers' Company Size
Metaplane
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Monte Carlo
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Computer Software
26.7%
Information Technology and Services
19.8%
Food & Beverages
6.9%
Financial Services
6.9%
Marketing and Advertising
5.2%
Other
34.5%
Financial Services
14.2%
Information Technology and Services
11.1%
Computer Software
10.7%
Marketing and Advertising
3.7%
Manufacturing
3.5%
Other
56.8%
Discussions
Metaplane has no discussions with answers
What is Monte Carlo software?
1 Comment
MV
Monte Carlo is a fully automated, end-to-end data observability platform that helps data engineering teams reduce time to detection and resolution for data...Read more
Monte Carlo has no more discussions with answers
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