Compare Control-M and Google Cloud Dataflow 
At a Glance
Market Segments
Enterprise (61.5% of reviews)
Small-Business (33.3% 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 (61.5% of reviews)
Pros & Cons
Entry-Level Pricing
Starting at $29,000.00 500 Executions Per Month
Learn more about Control-MGoogle Cloud Dataflow
Star Rating
(44)4.2 out of 5
Market Segments
Small-Business (33.3% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Google Cloud DataflowSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Control-M excels in workflow management, with users praising its powerful automation and centralized job scheduling capabilities. One user highlighted how it simplifies managing complex workflows from a single interface, making operations much easier and more efficient.
- Users say that Google Cloud Dataflow stands out for its ease of use in processing streaming events. Reviewers appreciate how simple it is to build complex streaming pipelines and the real-time monitoring features that provide important metrics, enhancing overall operational efficiency.
- According to verified reviews, Control-M has a higher rating for ease of setup, with users noting a straightforward onboarding process that allows for quick adaptation to changing needs. This contrasts with Google Cloud Dataflow, where some users found the setup slightly less intuitive.
- Reviewers mention that while both products offer solid support, Control-M's support quality is slightly more favorable, with users highlighting its reliability and responsiveness. In comparison, Google Cloud Dataflow also receives positive feedback but is noted for its fault tolerance, which users find particularly beneficial.
- G2 reviewers indicate that Control-M is particularly favored by enterprise users, with a significant portion of its reviews coming from larger organizations. This suggests that it may be better suited for complex, large-scale operations compared to Google Cloud Dataflow, which has a notable presence among small businesses.
- Users highlight that both products perform well in workload processing, with identical ratings in this area. However, Control-M's additional features for centralized job visibility and automation across various systems give it an edge for users managing diverse workflows.
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
Google Cloud Dataflow
No pricing availableFree Trial
Control-M
No trial information availableGoogle Cloud Dataflow
No trial information availableRatings
Meets Requirements
9.0
95
9.0
24
Ease of Use
8.7
97
8.1
24
Ease of Setup
8.2
64
7.9
7
Ease of Admin
8.6
43
8.0
5
Quality of Support
8.5
91
8.3
21
Has the product been a good partner in doing business?
8.9
44
9.0
5
Product Direction (% positive)
8.6
93
9.0
23
Features by Category
Automation
9.1
54
Not enough data
8.8
51
Not enough data
8.1
28
Not enough data
Administration
7.9
50
Not enough data
9.0
50
Not enough data
8.4
43
Not enough data
8.3
26
Not enough data
8.5
31
Not enough data
8.5
25
Not enough data
Functionality
9.4
63
Not enough data
8.4
44
Not enough data
8.7
33
Not enough data
Agentic AI - Workload Automation
8.5
11
Not enough data
8.8
10
Not enough data
8.7
14
Not enough data
7.6
9
Not enough data
7.2
9
Not enough data
7.2
10
Not enough data
7.6
9
Not enough data
Data
Not enough data
9.8
7
Not enough data
9.6
8
Not enough data
9.3
7
Not enough data
9.6
8
Analytics
Not enough data
8.3
5
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
8.3
11
7.8
6
8.9
11
8.3
6
8.5
10
Integrations
Not enough data
6.9
7
Not enough data
6.9
8
Platform
8.0
5
8.8
11
7.3
5
8.6
12
Not enough data
6.9
8
Processing
Not enough data
8.9
12
9.2
6
9.2
10
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 Google Cloud Dataflow are categorized as Big Data Processing and Distribution
Unique Categories
Control-M is categorized as Workload Automation, Runbook Automation, iPaaS, Build Automation, Continuous Integration, Continuous Delivery, and Big Data Integration Platforms
Google Cloud Dataflow is categorized as Event Stream Processing
Reviews
Reviewers' Company Size
Control-M
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Google Cloud Dataflow
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
24.2%
Banking
8.3%
Financial Services
8.3%
Telecommunications
7.5%
Retail
5.8%
Other
45.8%
Computer Software
11.9%
Internet
7.1%
Entertainment
7.1%
Higher Education
4.8%
Hospital & Health Care
4.8%
Other
64.3%
Alternatives
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 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
Google Cloud Dataflow has no discussions with answers
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