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Compare Amazon EMR and Control-M 
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At a Glance
Market Segments
Enterprise (58.9% of reviews)
Enterprise (61.3% of reviews)
Entry-Level Pricing
No pricing available
Starting at $29,000.00 500 Executions Per Month
Amazon EMR
Star Rating
(64)4.1 out of 5
Market Segments
Enterprise (58.9% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Amazon EMRControl-M
Star Rating
(126)4.4 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 Amazon EMR excels in "Cloud Processing" with a score of 9.1, making it a preferred choice for organizations looking to leverage cloud capabilities for big data processing. In contrast, Control-M's "Workload Processing" received a higher score of 9.7, indicating its strength in managing complex job scheduling and workload automation.
- Reviewers mention that Control-M offers superior "Real-Time Data Collection" with a score of 9.7, which is crucial for businesses needing immediate insights. Amazon EMR, while effective, scored lower at 8.1 in this area, suggesting it may not be as responsive for real-time data needs.
- G2 users highlight that Control-M's "Job Scheduling" feature stands out with a score of 9.4, providing robust capabilities for automating and managing job workflows. In comparison, Amazon EMR's job scheduling features are effective but do not match the depth and user satisfaction found in Control-M.
- Users on G2 report that Amazon EMR's integration with "Hadoop" and "Spark" is highly rated at 8.9, making it a strong choice for organizations utilizing these technologies. Control-M also supports these integrations but does not emphasize them as prominently, focusing more on its overall workload management capabilities.
- Reviewers mention that Control-M's "Error Alerts" feature is rated at 9.0, providing proactive notifications that help teams address issues quickly. Amazon EMR's error management capabilities are solid but do not offer the same level of proactive support, scoring 8.6 in this area.
- Users say that both products have strong "Performance and Reliability" ratings, with both scoring 8.8. However, Control-M's focus on "Proactive Workflow" management, rated at 9.1, gives it an edge in ensuring consistent performance and reliability in automated processes.
Pricing
Entry-Level Pricing
Amazon EMR
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
Amazon EMR
No trial information availableControl-M
No trial information availableRatings
Meets Requirements
8.6
50
9.0
82
Ease of Use
8.2
49
8.7
83
Ease of Setup
8.4
22
8.2
50
Ease of Admin
8.6
22
8.6
36
Quality of Support
8.2
49
8.6
79
Has the product been a good partner in doing business?
8.9
22
9.0
37
Product Direction (% positive)
7.9
44
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
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
8.1
27
8.6
6
8.5
30
7.8
6
8.1
7
8.3
6
Integrations
8.9
33
Not enough data
8.9
31
Not enough data
Platform
8.7
25
8.0
5
8.7
31
7.3
5
8.9
31
Not enough data
Processing
9.1
31
Not enough data
8.7
31
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
Amazon EMR and Control-M are categorized as Big Data Processing and Distribution
Unique Categories
Amazon EMR has no unique categories
Control-M is categorized as Workload Automation, Runbook Automation, iPaaS, Build Automation, Continuous Integration, Continuous Delivery, and Big Data Integration Platforms
Reviews
Reviewers' Company Size
Amazon EMR
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
Financial Services
25.0%
Computer Software
19.6%
Information Technology and Services
14.3%
Retail
5.4%
Health, Wellness and Fitness
3.6%
Other
32.1%
Information Technology and Services
25.2%
Financial Services
8.4%
Banking
8.4%
Retail
7.5%
Insurance
6.5%
Other
43.9%
Alternatives
Discussions
Amazon EMR has no 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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