Introducing G2.ai, the future of software buying.Try now
Compare Control-M and Prefect 
Featured Products
At a Glance
Market Segments
Enterprise (63.1% 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
(144)4.4 out of 5
Market Segments
Enterprise (63.1% 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 ease of implementation, with users highlighting its intuitive onboarding process and strong customer support. Many appreciate its ability to integrate with multiple cloud platforms, providing a centralized view of workflows.
- Users say that Prefect stands out for its user-friendly interface and ease of use, particularly for beginners. Reviewers mention that setting up flows is straightforward, and the debugging features are beneficial when issues arise, making it a great choice for those new to orchestration.
- According to verified reviews, Control-M is favored for its hybrid multicloud orchestration, which allows organizations to manage both legacy systems and modern cloud infrastructure effectively. This capability is particularly praised in industries like banking, where such flexibility is crucial.
- Reviewers mention that while Prefect is recognized for its cost-effectiveness, it may not match the comprehensive features of Control-M. Users appreciate its ability to integrate with various platforms like Databricks and Snowflake, but some feel it lacks the depth of functionality found in more established solutions.
- G2 reviewers highlight that Control-M's job scheduling capabilities are robust, with many users noting its effectiveness in managing complex workflows. The Job As Code feature is particularly beneficial for teams looking to streamline their operations and enhance visibility.
- Users report that while both products offer solid support, Control-M's quality of support is often seen as a strong advantage, with many users praising the responsiveness and expertise of the support team, which can be a deciding factor for enterprises with critical workloads.
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
87
9.0
116
Ease of Use
8.8
88
8.4
118
Ease of Setup
8.1
55
8.1
42
Ease of Admin
8.6
42
8.8
39
Quality of Support
8.6
84
8.6
93
Has the product been a good partner in doing business?
8.8
43
8.9
32
Product Direction (% positive)
8.5
84
9.4
120
Features by Category
Automation
9.1
51
8.8
105
8.7
48
8.7
106
8.1
27
7.9
103
Administration
8.1
44
8.1
106
8.9
46
8.7
106
8.3
42
7.8
104
8.2
25
8.2
101
8.5
28
7.8
103
8.5
24
8.1
103
Functionality
9.3
56
9.1
105
8.3
42
8.4
104
8.6
31
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
24.1%
Financial Services
8.9%
Banking
8.9%
Telecommunications
8.0%
Retail
6.3%
Other
43.8%
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%
Alternatives
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 does control-M software do?
1 Comment
SS
I used it in banking requirrd to automate job and scheduler.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.
