Introducing G2.ai, the future of software buying.Try now
Compare Control-M and Google Cloud Dataflow 
Featured Products
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
Astro by Astronomer
Visit Website
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
ActiveBatch
Visit Website
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
RunMyJobs
Visit Website
At a Glance
Market Segments
Enterprise (61.0% 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
(123)4.3 out of 5
Market Segments
Enterprise (61.0% 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.
- Users report that Control-M excels in job scheduling with a score of 9.4, making it a preferred choice for enterprises that require robust workload processing capabilities. In contrast, Google Cloud Dataflow, while strong in data processing, scores lower in job scheduling, which may impact users who prioritize this feature.
- Reviewers mention that Control-M's ease of use is rated at 8.8, which is significantly higher than Google Cloud Dataflow's 7.9. This suggests that Control-M may provide a more user-friendly experience, particularly for teams that may not have extensive technical expertise.
- G2 users highlight Control-M's superior real-time data collection capabilities with a score of 9.7, compared to Google Cloud Dataflow's 8.3. This feature is crucial for businesses that rely on immediate data insights for decision-making.
- Users on G2 report that Control-M offers better integration options with a score of 9.2, while Google Cloud Dataflow scores 8.4. This indicates that Control-M may provide a more seamless experience when connecting with other tools and platforms, which is essential for workflow automation.
- Reviewers mention that Control-M's proactive workflow management, rated at 9.1, allows for better IT issue identification and error alerts, enhancing operational efficiency. Google Cloud Dataflow, while effective, does not match this level of proactive management, which could lead to delays in issue resolution.
- Users say that Control-M's automation support, particularly in routine task automation and automated task notifications, is a standout feature, making it easier for teams to manage repetitive tasks. Google Cloud Dataflow, while offering automation, does not provide the same level of comprehensive support in this area.
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
81
9.0
24
Ease of Use
8.7
82
8.1
24
Ease of Setup
8.2
49
7.9
7
Ease of Admin
8.6
36
8.0
5
Quality of Support
8.6
78
8.3
21
Has the product been a good partner in doing business?
9.0
37
9.0
5
Product Direction (% positive)
8.5
78
9.0
23
Features by Category
Automation
9.0
47
Not enough data
8.6
44
Not enough data
8.1
24
Not enough data
Administration
7.9
41
Not enough data
8.9
45
Not enough data
8.4
39
Not enough data
8.3
25
Not enough data
8.3
24
Not enough data
8.5
23
Not enough data
Functionality
9.4
51
Not enough data
8.1
39
Not enough data
8.4
26
Not enough data
Agentic AI - Workload Automation
7.9
8
Not enough data
8.5
8
Not enough data
8.1
9
Not enough data
7.3
8
Not enough data
6.9
8
Not enough data
6.9
9
Not enough data
7.3
8
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
25.5%
Banking
8.5%
Retail
7.5%
Financial Services
7.5%
Insurance
6.6%
Other
44.3%
Computer Software
11.9%
Internet
7.1%
Entertainment
7.1%
Management Consulting
4.8%
Insurance
4.8%
Other
64.3%
Alternatives
Discussions
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
Google Cloud Dataflow has no discussions with answers
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
