Compare Control-M and Prefect 
At a Glance
Market Segments
Enterprise (61.5% of reviews)
Small-Business (42.3% of reviews)
Entry-Level Pricing
Starting at $29,000.00 500 Executions Per Month
Pay As You Go Per Month
Control-M
Star Rating
(157)4.3 out of 5
Market Segments
Enterprise (61.5% of reviews)
Pros & Cons
Entry-Level Pricing
Starting at $29,000.00 500 Executions Per Month
Learn more about Control-MPrefect
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 plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Control-M excels in centralized workflow management, allowing users to schedule, monitor, and manage jobs across multiple systems from a single interface. This capability is particularly praised for making operations much easier and more efficient.
- Users say that Prefect stands out for its user-friendly orchestration features, making it easy to set up flows and debug when issues arise. Reviewers appreciate the straightforward development process in the latest versions, which enhances usability for both beginners and experienced users.
- According to verified reviews, Control-M is recognized for its reliability and scalability, automating workflows across both cloud and on-premises systems. Users highlight its ability to adapt to changing needs, which is crucial for complex environments.
- Reviewers mention that while Prefect is considered a cost-effective solution, it may not match the extensive capabilities of Control-M in larger enterprise settings. Users appreciate its integration with platforms like Databricks and Snowflake, but some feel it lacks the depth of features found in more established tools.
- G2 reviewers highlight that Control-M's ease of use is a significant advantage, with many users finding it intuitive and adaptable. This is reflected in its higher ratings for user experience compared to Prefect, which, while still user-friendly, has slightly lower scores in this area.
- Users report that both products offer solid support and administration features, but Control-M has a slight edge in overall quality of support. Reviewers appreciate the proactive assistance and resources available, which can be crucial for troubleshooting and optimizing workflows.
Pricing
Entry-Level Pricing
Control-M
Starter Pack (SaaS)
Starting at $29,000.00
500 Executions Per Month
Full-featured Control-M SaaS orchestration — right-sized for growing teams and hybrid cloud apps.
- Visual Workflow Designer
- Cloud native & hybrid app integration
- API jobs, event triggers, file transfer
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
Control-M
No trial information availablePrefect
Free Trial is available
Ratings
Meets Requirements
9.0
95
9.0
116
Ease of Use
8.7
97
8.4
118
Ease of Setup
8.2
64
8.1
42
Ease of Admin
8.6
43
8.8
39
Quality of Support
8.5
91
8.6
93
Has the product been a good partner in doing business?
8.9
44
8.9
32
Product Direction (% positive)
8.6
93
9.4
120
Features by Category
Automation
9.1
54
8.8
105
8.8
51
8.7
106
8.1
28
7.9
103
Administration
7.9
50
8.1
106
9.0
50
8.7
106
8.4
43
7.8
104
8.3
26
8.2
101
8.5
31
7.8
103
8.5
25
8.1
103
Functionality
9.4
63
9.1
105
8.4
44
8.4
104
8.7
33
8.2
103
Agentic AI - Workload Automation
8.5
11
Not enough data
8.8
10
Not enough data
8.7
14
Not enough data
7.6
9
Not enough data
7.2
9
Not enough data
7.2
10
Not enough data
7.6
9
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
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Continuous Delivery
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Continuous Integration
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Development
Not enough data
Not enough data
Feature Not Available
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
Feature Not Available
Not enough data
Management
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
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration Options
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Data Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - DataOps Platforms
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
Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Monitoring and Management
Not enough data
Not enough data
Not enough data
Not enough data
Cloud Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Automation Support - Runbook 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
Error Management - Runbook Automation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Customization - Runbook Automation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Compliance and Reporting - Runbook Automation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance - Runbook Automation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Runbook Automation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Database
8.6
6
Not enough data
7.8
6
Not enough data
8.3
6
Not enough data
Integrations
Not enough data
Not enough data
Not enough data
Not enough data
Platform
8.0
5
Not enough data
7.3
5
Not enough data
Not enough data
Not enough data
Processing
Not enough data
Not enough data
9.2
6
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
Control-M and Prefect are categorized as Workload Automation and Big Data Processing and Distribution
Unique Categories
Control-M is categorized as Runbook Automation, iPaaS, Build Automation, Continuous Integration, Continuous Delivery, and Big Data Integration Platforms
Reviews
Reviewers' Company Size
Control-M
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
Information Technology and Services
24.2%
Banking
8.3%
Financial Services
8.3%
Telecommunications
7.5%
Retail
5.8%
Other
45.8%
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
Is Control-M an ETL tool?
2 Comments
LV
Yes. Control-M is used for scheduling and monitoring the jobs in ETL.Read more
What is Control-M and DevOps used for?
1 Comment
SR
Control-M is used to automate, schedule, and monitor backend jobs and workflows, while DevOps is used to build, test, deploy, and operate software quickly...Read more
What is workflow in control-M?
1 Comment
LV
Control-M Workflow Insights provides valuable dashboards that give users in-depth observability to continuously monitor and improve performance of the...Read more
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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