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Compare Monte Carlo and Prefect 
Featured Products
At a Glance
Market Segments
Enterprise (50.8% of reviews)
Small-Business (42.3% of reviews)
Entry-Level Pricing
Contact Us
Pay As You Go Per Month
Monte Carlo
Star Rating
(469)4.4 out of 5
Market Segments
Enterprise (50.8% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us
Browse all 3 pricing plansPrefect
Star Rating
(124)4.5 out of 5
Market Segments
Small-Business (42.3% of reviews)
Pros & Cons
Entry-Level Pricing
Pay As You Go Per Month
Browse all 2 pricing plansMonte Carlo vs Prefect
When assessing the two solutions, reviewers found Prefect easier to use and administer. However, reviewers preferred the ease of set up, and doing business with Monte Carlo overall.
- Reviewers felt that Prefect meets the needs of their business better than Monte Carlo.
- When comparing quality of ongoing product support, reviewers felt that Monte Carlo is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Prefect over Monte Carlo.
Pricing
Entry-Level Pricing
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
Prefect
Prefect Cloud
Pay As You Go
Per Month
Prefer the open source Prefect framework with Prefect Cloud to power up your dataflows. Let us take care of the orchestration and enable collaboration, teams, security controls and more.
- Managed orchestration-as-a-service
- Collaboration Tools
- Enhanced UI
Free Trial
Monte Carlo
No trial information availablePrefect
Free Trial is available
Ratings
Meets Requirements
8.3
436
9.0
116
Ease of Use
8.2
443
8.4
118
Ease of Setup
8.2
308
8.1
42
Ease of Admin
8.5
160
8.8
39
Quality of Support
9.0
390
8.6
93
Has the product been a good partner in doing business?
9.3
163
8.9
32
Product Direction (% positive)
8.9
432
9.4
120
Features by Category
Automation
Not enough data
8.8
105
Not enough data
8.7
106
Not enough data
7.9
103
Administration
Not enough data
8.1
106
Not enough data
8.7
106
Not enough data
7.8
104
Not enough data
8.2
101
Not enough data
7.8
103
Not enough data
8.1
103
Functionality
Not enough data
9.1
105
Not enough data
8.4
104
Not enough data
8.2
103
Agentic AI - Workload Automation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
9.0
260
Not enough data
8.8
261
Not enough data
7.8
238
Not enough data
8.3
247
Not enough data
7.7
242
Not enough data
7.4
244
Not enough data
Agentic AI - Database Monitoring
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
Not enough data
Data Management
8.5
51
Not enough data
8.4
47
Not enough data
8.6
51
Not enough data
7.9
49
Not enough data
Agentic AI - DataOps Platforms
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
Not enough data
Analytics
7.8
50
Not enough data
7.7
47
Not enough data
Monitoring and Management
9.2
55
Not enough data
7.6
48
Not enough data
Cloud Deployment
7.4
43
Not enough data
7.0
41
Not enough data
Generative AI
6.2
34
Not enough data
6.1
34
Not enough data
Functionality
7.4
291
Not enough data
8.8
323
Not enough data
8.1
294
Not enough data
8.0
299
Not enough data
Management
8.7
318
Not enough data
7.7
287
Not enough data
8.3
311
Not enough data
8.0
305
Not enough data
8.1
312
Not enough data
Generative AI
5.8
231
Not enough data
Agentic AI - Data Observability
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
Not enough data
Database
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integrations
Not enough data
Not enough data
Not enough data
Not enough data
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Processing
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
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
Not enough data
Management
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
Not enough data
Generative AI
5.2
145
Not enough data
5.3
145
Not enough data
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Monte Carlo and Prefect are categorized as DataOps Platforms
Unique Categories
Prefect is categorized as Batch Management, Workload Automation, Container Orchestration, and Big Data Processing and Distribution
Reviews
Reviewers' Company Size
Monte Carlo
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Prefect
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
Financial Services
14.2%
Information Technology and Services
11.2%
Computer Software
10.7%
Marketing and Advertising
3.7%
Manufacturing
3.5%
Other
56.7%
Information Technology and Services
14.6%
Computer Software
13.8%
Financial Services
11.4%
Insurance
5.7%
Health, Wellness and Fitness
4.9%
Other
49.6%
Discussions
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
What is Prefect used for?
1 Comment
CR
Prefect is a workflow orchestration tool empowering developers to build, observe, and react to data pipelines. With Prefect, control and observe: 1. What...Read more
Prefect has no more discussions with answers
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