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Compare AutoSys Workload Automation and Control-M 
Featured Products
At a Glance
Market Segments
Enterprise (77.1% of reviews)
Enterprise (63.1% of reviews)
Entry-Level Pricing
No pricing available
Starting at $29,000.00 500 Executions Per Month
AutoSys Workload Automation
Star Rating
(48)4.5 out of 5
Market Segments
Enterprise (77.1% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about AutoSys Workload AutomationControl-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-MSummary
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 seamlessly with multiple cloud platforms, providing a centralized view of workflows.
- Users say that AutoSys Workload Automation offers a user-friendly experience, particularly with its web GUI and client tool. Reviewers mention that it simplifies job monitoring and tracking logs, which significantly reduces overhead and enhances operational efficiency.
- According to verified reviews, Control-M stands out for its hybrid multicloud orchestration, allowing organizations to manage both legacy systems and modern cloud infrastructure effectively. This capability is particularly beneficial for enterprises looking to streamline their operations.
- Reviewers mention that while AutoSys provides a solid job scheduling experience, it lacks the comprehensive features found in Control-M, such as the Job As Code feature, which many users find advantageous for managing complex workflows.
- G2 reviewers highlight that Control-M has a higher overall satisfaction score, reflecting its robust performance and reliability in workload automation. Users appreciate its centralized visibility and auditing capabilities, which enhance transparency and control over job executions.
- Users express mixed feelings about AutoSys's scalability, noting that while it performs well for smaller operations, it may not meet the demands of larger enterprises as effectively as Control-M, which is designed to handle extensive workloads and complex job dependencies.
Pricing
Entry-Level Pricing
AutoSys Workload Automation
No pricing availableControl-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
Free Trial
AutoSys Workload Automation
No trial information availableControl-M
No trial information availableRatings
Meets Requirements
9.0
35
9.0
87
Ease of Use
9.0
36
8.8
88
Ease of Setup
8.9
19
8.1
55
Ease of Admin
8.9
18
8.6
42
Quality of Support
8.7
34
8.6
84
Has the product been a good partner in doing business?
9.3
18
8.8
43
Product Direction (% positive)
8.9
31
8.5
84
Features by Category
Automation
9.2
20
9.1
51
9.1
21
8.7
48
8.7
20
8.1
27
Administration
8.6
19
8.1
44
9.4
21
8.9
46
8.8
16
8.3
42
8.3
18
8.2
25
8.5
19
8.5
28
8.8
18
8.5
24
Functionality
9.3
22
9.3
56
8.8
16
8.3
42
8.8
19
8.6
31
Agentic AI - Workload Automation
Not enough data
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
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
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Feature Not Available
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
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Feature Not Available
Development
Not enough data
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
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
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
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Database
Not enough data
8.6
6
Not enough data
7.8
6
Not enough data
8.3
6
Integrations
Not enough data
Not enough data
Not enough data
Not enough data
Platform
Not enough data
8.0
5
Not enough data
7.3
5
Not enough data
Not enough data
Processing
Not enough data
Not enough data
Not enough data
9.2
6
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
AutoSys Workload Automation and Control-M are categorized as Workload Automation
Unique Categories
AutoSys Workload Automation has no unique categories
Control-M is categorized as Runbook Automation, Big Data Processing and Distribution, iPaaS, Build Automation, Continuous Integration, Continuous Delivery, and Big Data Integration Platforms
Reviews
Reviewers' Company Size
AutoSys Workload Automation
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Control-M
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
37.5%
Banking
18.8%
Computer Software
6.3%
Architecture & Planning
6.3%
Telecommunications
4.2%
Other
27.1%
Information Technology and Services
24.1%
Financial Services
8.9%
Banking
8.9%
Telecommunications
8.0%
Retail
6.3%
Other
43.8%
Alternatives
Discussions
AutoSys Workload Automation has no discussions with answers
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
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