Compare Control-M and IBM Workload Automation 
At a Glance
Market Segments
Enterprise (61.8% of reviews)
Enterprise (53.8% of reviews)
Entry-Level Pricing
Starting at $29,000.00 500 Executions Per Month
No pricing available
Control-M
Star Rating
(157)4.3 out of 5
Market Segments
Enterprise (61.8% of reviews)
Pros & Cons
Entry-Level Pricing
Starting at $29,000.00 500 Executions Per Month
Learn more about Control-MIBM Workload Automation
Star Rating
(14)4.3 out of 5
Market Segments
Enterprise (53.8% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about IBM Workload AutomationSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Control-M excels in providing a powerful automation and 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 IBM Workload Automation offers a user-friendly graphical interface that simplifies the management of workloads. The REST API interface, which is front-ended using Swagger, is particularly praised for making development and testing straightforward, appealing to teams that prioritize ease of integration.
- Reviewers mention that Control-M's reliability and scalability are standout features, with many noting its ability to automate workflows across both cloud and on-premises systems. This flexibility is crucial for enterprises looking to streamline their operations without compromising on performance.
- According to verified reviews, IBM Workload Automation is recognized for its centralized management and cross-platform support, which is beneficial for large enterprises dealing with complex IT environments. Users appreciate its capability to handle a high volume of workloads, ensuring that it meets the demands of extensive operations.
- G2 reviewers highlight that while Control-M has a slightly lower ease of use rating, its comprehensive features and robust job scheduling capabilities, rated highly by users, make it a strong contender for organizations that require detailed control over their workflows.
- Users express that Control-M's overall satisfaction ratings are significantly higher than those of IBM Workload Automation, indicating a stronger preference among users for Control-M's features and support, which are often described as being more responsive and effective in addressing user needs.
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
IBM Workload Automation
No pricing availableFree Trial
Control-M
No trial information availableIBM Workload Automation
No trial information availableRatings
Meets Requirements
9.0
96
8.3
8
Ease of Use
8.8
98
9.0
8
Ease of Setup
8.2
65
Not enough data
Ease of Admin
8.6
43
Not enough data
Quality of Support
8.6
92
8.3
8
Has the product been a good partner in doing business?
8.9
44
Not enough data
Product Direction (% positive)
8.6
93
8.5
8
Features by Category
Automation
9.1
55
8.8
7
8.8
52
8.3
6
8.2
29
9.0
5
Administration
8.0
51
8.3
7
9.0
51
9.5
7
8.4
44
9.3
7
8.3
27
8.0
5
8.6
32
8.7
5
8.6
26
9.0
5
Functionality
9.4
64
8.8
7
8.4
45
7.2
6
8.7
34
Not enough data
Agentic AI - Workload Automation
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
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
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 IBM Workload Automation are categorized as Workload Automation
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
IBM Workload Automation is categorized as Batch Management
Reviews
Reviewers' Company Size
Control-M
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM Workload Automation
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
24.8%
Banking
8.3%
Financial Services
8.3%
Telecommunications
7.4%
Retail
5.8%
Other
45.5%
Information Technology and Services
38.5%
Hospital & Health Care
15.4%
Financial Services
15.4%
Retail
7.7%
Logistics and Supply Chain
7.7%
Other
15.4%
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 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
IBM Workload Automation has no discussions with answers
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