Compare Azure Automation and Control-M 
At a Glance
Market Segments
Enterprise (46.9% of reviews)
Enterprise (61.2% of reviews)
Entry-Level Pricing
No pricing available
Starting at $29,000.00 500 Executions Per Month
Azure Automation
Star Rating
(42)4.5 out of 5
Market Segments
Enterprise (46.9% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Azure AutomationControl-M
Star Rating
(157)4.4 out of 5
Market Segments
Enterprise (61.2% 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 providing a centralized workflow management system, allowing users to schedule, monitor, and manage jobs across multiple systems from a single interface. This capability significantly enhances operational efficiency, making it a preferred choice for complex environments.
- Users say that Azure Automation is particularly effective for automating repetitive operational tasks within Azure environments. Its ability to create runbooks for routine processes like resource management and maintenance tasks is frequently highlighted, showcasing its utility for users focused on Azure-specific automation.
- Reviewers mention that Control-M's implementation process is generally quick and intuitive, with many users appreciating its ease of use and adaptability to changing needs. This flexibility is a significant advantage for teams that require a robust scheduling tool that can evolve with their operations.
- According to verified reviews, Azure Automation is praised for its user-friendly interface and extensive features, making it accessible for users with varying levels of technical expertise. However, some users coming from a scripting background feel that while it offers a lot, it may not match the comprehensive capabilities of Control-M in more complex scenarios.
- G2 reviewers highlight that Control-M maintains a strong reputation for reliability and scalability, automating workflows across both cloud and on-premises systems. This reliability is crucial for enterprises that depend on consistent performance across diverse environments.
- Users report that while both products offer quality support, Control-M has a slight edge in being a better business partner, with users noting its proactive approach to customer service and product direction, which fosters a more collaborative relationship compared to Azure Automation.
Pricing
Entry-Level Pricing
Azure 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
Azure Automation
No trial information availableControl-M
No trial information availableRatings
Meets Requirements
9.0
25
9.0
94
Ease of Use
8.7
25
8.8
96
Ease of Setup
7.6
11
8.1
63
Ease of Admin
8.3
10
8.6
43
Quality of Support
8.5
25
8.5
90
Has the product been a good partner in doing business?
8.0
10
8.9
44
Product Direction (% positive)
8.0
23
8.6
92
Features by Category
Automation
Not enough data
9.1
54
Not enough data
8.8
51
Not enough data
8.1
28
Administration
Not enough data
8.0
49
Not enough data
9.0
50
Not enough data
8.4
43
Not enough data
8.3
26
Not enough data
8.5
30
Not enough data
8.5
25
Functionality
Not enough data
9.4
62
Not enough data
8.4
44
Not enough data
8.7
33
Agentic AI - Workload Automation
Not enough data
8.3
10
Not enough data
8.8
10
Not enough data
8.7
13
Not enough data
7.6
9
Not enough data
7.2
9
Not enough data
7.2
10
Not enough data
7.6
9
Administration
9.0
7
Not enough data
8.6
7
Not enough data
8.3
6
Not enough data
7.8
6
Not enough data
Automation
7.7
5
Not enough data
7.3
5
Not enough data
8.0
5
Not enough data
7.0
5
Not enough data
IT Management
8.6
6
Not enough data
7.3
5
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
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
Azure Automation and Control-M are categorized as Build Automation and Runbook Automation
Unique Categories
Azure Automation is categorized as Cloud Infrastructure Automation
Control-M is categorized as Workload Automation, Big Data Processing and Distribution, iPaaS, Continuous Integration, Continuous Delivery, and Big Data Integration Platforms
Reviews
Reviewers' Company Size
Azure 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
Computer Software
15.6%
Information Technology and Services
9.4%
Financial Services
9.4%
Textiles
6.3%
Chemicals
6.3%
Other
53.1%
Information Technology and Services
24.4%
Financial Services
8.4%
Banking
8.4%
Telecommunications
7.6%
Retail
5.9%
Other
45.4%
Alternatives
Discussions
Azure 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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