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Compare Azure Data Factory and Control-M 
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At a Glance
Market Segments
Enterprise (63.0% of reviews)
Enterprise (61.3% of reviews)
Entry-Level Pricing
No pricing available
Starting at $29,000.00 500 Executions Per Month
Azure Data Factory
Star Rating
(87)4.6 out of 5
Market Segments
Enterprise (63.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Azure Data FactoryControl-M
Star Rating
(124)4.3 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-MSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Control-M offers robust scheduling capabilities, but Azure Data Factory shines with its seamless integration with other Azure services, making it easier for users to manage data workflows across platforms.
- Reviewers mention that while Control-M has a strong enterprise focus, Azure Data Factory's user-friendly interface and ease of setup are frequently highlighted, with many users appreciating its drag-and-drop functionality for building data pipelines.
- G2 users indicate that Control-M's quality of support is solid, but Azure Data Factory receives higher praise for its responsive customer service, with users noting quicker resolution times for issues.
- Users on G2 say that Control-M's entry-level price is significantly higher at $29,000.00, which may be a barrier for smaller enterprises, while Azure Data Factory offers a more flexible pricing model that can be more accessible for various business sizes.
- Reviewers mention that both products have similar scores for ease of administration, but Azure Data Factory is often preferred for its intuitive dashboard, which simplifies monitoring and managing data flows.
- Users report that Control-M has a strong reputation for meeting requirements, but Azure Data Factory outperforms in product direction, with many users expressing confidence in its ongoing development and feature enhancements, particularly in areas like machine learning integration.
Pricing
Entry-Level Pricing
Azure Data Factory
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 Data Factory
No trial information availableControl-M
No trial information availableRatings
Meets Requirements
9.2
65
9.0
82
Ease of Use
8.9
66
8.7
83
Ease of Setup
9.2
31
8.2
50
Ease of Admin
8.6
23
8.6
36
Quality of Support
8.8
60
8.6
79
Has the product been a good partner in doing business?
9.3
22
9.0
37
Product Direction (% positive)
9.8
61
8.5
79
Features by Category
Automation
Not enough data
9.0
48
Not enough data
8.7
45
Not enough data
8.1
25
Administration
Not enough data
7.9
42
Not enough data
8.9
46
Not enough data
8.3
40
Not enough data
8.3
26
Not enough data
8.3
25
Not enough data
8.5
24
Functionality
Not enough data
9.4
52
Not enough data
8.2
40
Not enough data
8.5
27
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
Management
8.4
45
Not enough data
8.4
44
Not enough data
Functionality
9.1
47
Not enough data
9.1
47
Not enough data
9.3
44
Not enough data
9.1
47
Not enough data
9.1
45
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 Data Factory and Control-M are categorized as Big Data Integration Platforms
Unique Categories
Azure Data Factory is categorized as ETL Tools
Control-M is categorized as Workload Automation, Runbook Automation, Big Data Processing and Distribution, iPaaS, Build Automation, Continuous Integration, and Continuous Delivery
Reviews
Reviewers' Company Size
Azure Data Factory
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
32.9%
Computer Software
12.2%
Financial Services
6.1%
Retail
4.9%
Airlines/Aviation
4.9%
Other
39.0%
Information Technology and Services
25.2%
Financial Services
8.4%
Banking
8.4%
Retail
7.5%
Insurance
6.5%
Other
43.9%
Discussions
Is Azure data Factory an ETL tool?
2 Comments
AG
yesRead more
Azure Data Factory has no more discussions with answers
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
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