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At a Glance
Market Segments
Enterprise (61.3% of reviews)
Enterprise (38.1% of reviews)
Entry-Level Pricing
Starting at $29,000.00 500 Executions Per Month
Free
Control-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-MGoogle Cloud BigQuery
Star Rating
(1,201)4.5 out of 5
Market Segments
Enterprise (38.1% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Free Trial is available
Browse all 5 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Reviews say that Google Cloud BigQuery excels in real-time data collection, scoring 8.7, which users appreciate for its ability to handle large datasets efficiently. In contrast, Control-M, while still strong at 8.6, is noted for its batch processing capabilities rather than real-time analytics.
- Users report that Google Cloud BigQuery shines in data distribution with a score of 8.8, allowing seamless integration with various data sources. Control-M, however, scores lower at 7.8, with reviewers mentioning that its data distribution features are more limited compared to BigQuery.
- Reviewers mention that Google Cloud BigQuery's machine scaling capabilities are impressive, scoring 8.7, which allows for dynamic resource allocation based on workload. Control-M, on the other hand, scores 8.0, with users noting that its scaling options are less flexible and can be cumbersome in high-demand scenarios.
- Users on G2 highlight that Google Cloud BigQuery's data preparation features score 8.7, making it easier to clean and transform data before analysis. In contrast, Control-M's data preparation scores only 7.3, with reviewers indicating that its tools are not as intuitive or powerful.
- G2 users report that both products are comparable in ease of use, each scoring 8.7, but reviewers mention that Google Cloud BigQuery's interface is more user-friendly for newcomers, while Control-M may require a steeper learning curve due to its extensive features.
- Users say that Control-M has a slight edge in workload processing with a score of 9.2, which is beneficial for organizations that prioritize job scheduling and automation. Google Cloud BigQuery, while strong at 9.0, is more focused on analytics and data querying, which may not meet all operational 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
Google Cloud BigQuery
Free
Free
New customers get $300 in free Google Cloud credits to spend on BigQuery with free trial sign-up.
- 10 GB storage
- Up to 1 TB queries per month
Free Trial
Control-M
No trial information availableGoogle Cloud BigQuery
Free Trial is available
Ratings
Meets Requirements
9.0
82
8.8
612
Ease of Use
8.7
83
8.7
626
Ease of Setup
8.2
50
8.8
401
Ease of Admin
8.6
36
8.5
224
Quality of Support
8.6
79
8.4
564
Has the product been a good partner in doing business?
9.0
37
8.7
217
Product Direction (% positive)
8.5
79
9.2
600
Features by Category
Automation
9.0
48
Not enough data
8.7
45
Not enough data
8.1
25
Not enough data
Administration
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
Not enough data
Functionality
9.4
52
Not enough data
8.2
40
Not enough data
8.5
27
Not enough data
Agentic AI - Workload Automation
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
Not enough data
Management
Not enough data
8.6
123
Not enough data
8.3
121
Functionality
Not enough data
9.0
121
Not enough data
9.1
124
Not enough data
9.0
124
Not enough data
8.9
123
Not enough data
9.4
124
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
Data Management
Not enough data
8.9
223
|
Verified
Not enough data
8.3
214
|
Verified
Not enough data
8.9
219
|
Verified
Not enough data
8.6
215
|
Verified
Not enough data
8.3
204
|
Verified
Not enough data
8.7
205
|
Verified
Integration
Not enough data
8.6
204
|
Verified
Not enough data
8.6
216
|
Verified
Not enough data
8.6
204
|
Verified
Deployment
Not enough data
7.8
190
|
Verified
Not enough data
9.1
215
|
Verified
Performance
Not enough data
9.1
220
|
Verified
Security
Not enough data
8.7
211
|
Verified
Not enough data
9.2
217
|
Verified
Generative AI
Not enough data
7.7
132
Not enough data
7.9
129
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
Storage
Not enough data
9.1
70
Not enough data
8.8
70
Availability
Not enough data
8.4
62
Not enough data
8.5
66
Not enough data
8.6
68
Performance
Not enough data
8.5
65
Security
Not enough data
8.7
70
Not enough data
8.8
69
Not enough data
8.4
69
Not enough data
8.7
65
Support
Not enough data
8.7
66
Not enough data
8.9
66
Centralized computation
Not enough data
9.1
27
Localized computation
Not enough data
8.5
28
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
Statistical Tool
Not enough data
8.7
78
Not enough data
9.0
79
Not enough data
8.8
79
Data Analysis
Not enough data
9.3
78
Not enough data
9.1
79
Decision Making
Not enough data
8.8
80
Not enough data
8.7
78
Not enough data
8.7
80
Not enough data
8.7
78
Generative AI
Not enough data
7.5
51
Not enough data
7.8
51
Marketing Operations
Not enough data
8.8
66
Not enough data
9.2
64
Not enough data
8.9
65
Not enough data
9.4
66
Not enough data
8.8
63
Not enough data
8.5
63
Campaign Activity
Not enough data
9.1
68
Not enough data
9.5
67
Not enough data
8.7
64
Not enough data
9.2
62
Not enough data
8.9
63
Not enough data
9.1
65
Agentic AI - Marketing Analytics
Not enough data
8.8
16
Not enough data
9.6
16
Not enough data
8.3
16
Database
8.6
6
8.8
178
7.8
6
8.9
176
8.3
6
8.8
170
Integrations
Not enough data
8.4
139
Not enough data
8.6
136
Platform
8.0
5
8.9
153
7.3
5
8.9
168
Not enough data
8.6
136
Processing
Not enough data
9.3
170
9.2
6
9.1
164
Data Transformation
Not enough data
8.8
288
Not enough data
9.3
295
Connectivity
Not enough data
8.1
256
Not enough data
8.2
254
Not enough data
8.7
283
Not enough data
8.8
274
Operations
Not enough data
8.5
283
Not enough data
8.7
282
Not enough data
8.3
260
Not enough data
8.4
267
Not enough data
8.5
259
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 BigQuery are categorized as Big Data Processing and Distribution and Big Data Integration Platforms
Unique Categories
Control-M is categorized as Workload Automation, Runbook Automation, iPaaS, Build Automation, Continuous Integration, and Continuous Delivery
Google Cloud BigQuery is categorized as Columnar Databases, ETL Tools, Big Data Analytics, Marketing Analytics, Predictive Analytics, Data Warehouse, and Data Clean Room
Reviews
Reviewers' Company Size
Control-M
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Google Cloud BigQuery
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
25.2%
Financial Services
8.4%
Banking
8.4%
Retail
7.5%
Insurance
6.5%
Other
43.9%
Information Technology and Services
16.2%
Computer Software
13.5%
Retail
7.1%
Financial Services
6.5%
Marketing and Advertising
5.1%
Other
51.7%
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
Is BigQuery part of Google Cloud Platform?
2 Comments
AY
Yes, Bigquery is a GCP product and a serveless data wharehouse.Read more
How BQ legacy SQl is different form the standard SQL?
1 Comment
OD
Legacy SQL is a non-standard SQL only used by BigQuery. Standard SQL is compliant with the SQL 2011.
Google recommends using Standard SQL and looking at the...Read more
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