Compare AWS Batch and Control-M 
At a Glance
Market Segments
Small-Business (40.4% of reviews)
Enterprise (63.9% of reviews)
Entry-Level Pricing
No pricing available
Starting at $29,000.00 500 Executions Per Month
AWS Batch
Star Rating
(93)4.4 out of 5
Market Segments
Small-Business (40.4% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about AWS BatchControl-M
Star Rating
(153)4.3 out of 5
Market Segments
Enterprise (63.9% of reviews)
Pros & Cons
Entry-Level Pricing
Starting at $29,000.00 500 Executions Per Month
Learn more about Control-MAWS Batch vs Control-M
When assessing the two solutions, reviewers found them equally easy to use. However, AWS Batch is easier to set up and administer.reviewers also preferred doing business with AWS Batch overall.
- Reviewers felt that Control-M meets the needs of their business better than AWS Batch.
- When comparing quality of ongoing product support, reviewers felt that Control-M is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Control-M over AWS Batch.
Pricing
Entry-Level Pricing
AWS Batch
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
AWS Batch
No trial information availableControl-M
No trial information availableRatings
Meets Requirements
8.8
65
9.0
92
Ease of Use
8.7
66
8.7
94
Ease of Setup
8.7
36
8.1
61
Ease of Admin
8.7
32
8.6
43
Quality of Support
8.4
63
8.5
88
Has the product been a good partner in doing business?
9.0
31
8.9
44
Product Direction (% positive)
8.3
60
8.6
89
Features by Category
Automation
Not enough data
9.1
54
Not enough data
8.8
52
Not enough data
8.2
29
Administration
Not enough data
8.0
49
Not enough data
9.0
50
Not enough data
8.4
43
Not enough data
8.3
27
Not enough data
8.5
31
Not enough data
8.6
26
Functionality
Not enough data
9.4
62
Not enough data
8.4
45
Not enough data
8.7
34
Agentic AI - Workload Automation
Not enough data
8.6
12
Not enough data
8.9
11
Not enough data
8.8
15
Not enough data
7.8
10
Not enough data
7.5
10
Not enough data
7.4
11
Not enough data
7.8
10
Functionality
8.7
43
Not enough data
8.5
40
Not enough data
8.5
39
Not enough data
8.4
41
Not enough data
8.6
41
Not enough data
8.8
40
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
AWS Batch and Control-M share no categories
Unique Categories
AWS Batch is categorized as Batch Management
Control-M is categorized as Workload Automation, Runbook Automation, Big Data Processing and Distribution, iPaaS, Build Automation, Continuous Integration, Continuous Delivery, and Big Data Integration Platforms
Reviews
Reviewers' Company Size
AWS Batch
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
23.6%
Information Technology and Services
20.2%
Financial Services
7.9%
Accounting
4.5%
Computer & Network Security
4.5%
Other
39.3%
Information Technology and Services
25.6%
Banking
8.5%
Financial Services
8.5%
Telecommunications
7.7%
Insurance
6.0%
Other
43.6%
Alternatives
Discussions
AWS Batch 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 is Control-M and DevOps used for?
1 Comment
SR
Control-M is used to automate, schedule, and monitor backend jobs and workflows, while DevOps is used to build, test, deploy, and operate software quickly...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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