Introducing G2.ai, the future of software buying.Try now
Compare Control-M and Prefect 
Featured Products
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
Astro by Astronomer
Visit Website
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
ActiveBatch
Visit Website
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
RunMyJobs
Visit Website
At a Glance
Market Segments
Enterprise (61.3% 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
(126)4.4 out of 5
Market Segments
Enterprise (61.3% 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.
- Users report that Control-M excels in job scheduling with a score of 9.4, highlighting its robust capabilities in managing complex workflows, while Prefect follows closely with a score of 9.1, praised for its flexibility in handling dynamic workflows.
- Reviewers mention that Control-M's real-time data collection feature stands out with a score of 9.7, making it a preferred choice for enterprises needing immediate insights, whereas Prefect's data lake functionality scores 9.3, appealing to users focused on data storage and retrieval.
- G2 users note that Control-M's proactive workflow management, rated at 9.1, allows for better anticipation of issues, while Prefect's score of 8.7 in this area indicates it may not be as proactive, leading to potential delays in issue resolution.
- Reviewers say that both products have similar quality of support ratings at 8.6, but Control-M's overall ease of administration, rated at 8.8, is slightly higher than Prefect's 8.1, suggesting a more user-friendly experience for administrators.
- Users on G2 highlight that Control-M's automation support for runbook automation is robust, with a strong emphasis on error alerts (9.0), while Prefect's lower score of 7.9 in error management indicates room for improvement in this critical area.
- Reviewers mention that Control-M's scalability is rated at 8.7, making it suitable for large enterprises, while Prefect's scalability is rated the same, but users report that it is more tailored for small to medium-sized businesses, reflecting its market segment focus.
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
82
9.0
116
Ease of Use
8.7
83
8.4
118
Ease of Setup
8.2
50
8.1
42
Ease of Admin
8.6
36
8.8
39
Quality of Support
8.6
79
8.6
93
Has the product been a good partner in doing business?
9.0
37
8.9
32
Product Direction (% positive)
8.5
79
9.4
120
Features by Category
Automation
9.0
48
8.8
105
8.7
45
8.7
106
8.1
25
7.9
103
Administration
7.9
42
8.1
106
8.9
46
8.7
106
8.3
40
7.8
104
8.3
26
8.2
101
8.3
25
7.8
103
8.5
24
8.1
103
Functionality
9.4
52
9.1
105
8.2
40
8.4
104
8.5
27
8.2
103
Agentic AI - Workload Automation
8.1
9
Not enough data
8.7
9
Not enough data
8.3
10
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
25.2%
Financial Services
8.4%
Banking
8.4%
Retail
7.5%
Insurance
6.5%
Other
43.9%
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%
Alternatives
Discussions
What does control-M software do?
1 Comment
SS
I used it in banking requirrd to automate job and scheduler.Read more
Is Control-M an ETL tool?
1 Comment
LV
Yes. Control-M is used for scheduling and monitoring the jobs in ETL.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
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
