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Compare Control-M and Microsoft SQL Server 
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At a Glance
Market Segments
Enterprise (62.2% of reviews)
Enterprise (45.5% of reviews)
Entry-Level Pricing
Starting at $29,000.00 500 Executions Per Month
No pricing available
Control-M
Star Rating
(120)4.3 out of 5
Market Segments
Enterprise (62.2% of reviews)
Pros & Cons
Entry-Level Pricing
Starting at $29,000.00 500 Executions Per Month
Learn more about Control-MMicrosoft SQL Server
Star Rating
(2,252)4.4 out of 5
Market Segments
Enterprise (45.5% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Microsoft SQL ServerSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Microsoft SQL Server excels in Data Distribution with a score of 8.8, highlighting its robust capabilities in managing and distributing data across various platforms. In contrast, Control-M scores lower at 7.8, with reviewers mentioning that its data distribution features could be more intuitive and flexible.
- Reviewers mention that Control-M shines in Workload Processing, achieving a score of 9.2. Users appreciate its ability to handle complex scheduling and automation tasks efficiently. Microsoft SQL Server, while strong, scores 8.5, with some users noting that its workload management features are not as comprehensive as those offered by Control-M.
- Users on G2 report that both products have a solid score of 9.0 for meeting requirements, indicating that they effectively fulfill user needs. However, reviewers say that Microsoft SQL Server's extensive feature set, including advanced analytics and reporting tools, gives it a slight edge in versatility.
- Reviewers mention that Control-M has a slight advantage in Ease of Admin with a score of 8.6 compared to Microsoft SQL Server's 8.3. Users appreciate Control-M's user-friendly interface for managing jobs and workflows, making it easier for administrators to oversee operations.
- G2 users report that Microsoft SQL Server has a strong reputation for Quality of Support, scoring 8.3, but Control-M edges ahead with a score of 8.5. Reviewers mention that Control-M's support team is responsive and knowledgeable, which is crucial for businesses relying on timely assistance.
- Users say that both products are comparable in terms of Real-Time Data Collection, each scoring 8.6. However, reviewers mention that Microsoft SQL Server's integration with Azure services enhances its real-time capabilities, making it a preferred choice for organizations leveraging cloud technologies.
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
Microsoft SQL Server
No pricing availableFree Trial
Control-M
No trial information availableMicrosoft SQL Server
No trial information availableRatings
Meets Requirements
9.0
74
9.0
1,849
Ease of Use
8.7
75
8.6
1,865
Ease of Setup
8.1
42
8.1
986
Ease of Admin
8.5
32
8.3
947
Quality of Support
8.5
71
8.3
1,643
Has the product been a good partner in doing business?
9.0
33
8.4
897
Product Direction (% positive)
8.4
71
8.4
1,820
Features by Category
Automation
9.0
45
Not enough data
8.6
42
Not enough data
8.1
24
Not enough data
Administration
8.1
38
Not enough data
8.9
42
Not enough data
8.3
38
Not enough data
8.3
24
Not enough data
8.3
22
Not enough data
8.5
23
Not enough data
Functionality
9.3
45
Not enough data
8.1
38
Not enough data
8.3
25
Not enough data
Agentic AI - Workload Automation
7.9
8
Not enough data
8.5
8
Not enough data
7.9
8
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
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
Management
Not enough data
8.9
151
Not enough data
8.9
151
Not enough data
9.2
156
Not enough data
8.9
151
Not enough data
8.9
153
Maintenance
Not enough data
8.9
151
Not enough data
9.0
156
Not enough data
9.0
152
Security
Not enough data
8.9
150
Not enough data
9.1
152
Management
Not enough data
9.1
149
Not enough data
9.2
150
Not enough data
8.8
136
Not enough data
8.9
142
Support
Not enough data
8.6
145
Not enough data
9.0
149
Not enough data
8.7
144
Not enough data
8.4
148
Security
Not enough data
8.9
148
Not enough data
9.0
148
Not enough data
8.9
145
Not enough data
9.0
148
Performance
Not enough data
8.7
144
Not enough data
8.8
141
Not enough data
8.8
147
Not enough data
8.7
145
Not enough data
8.8
146
Database Features
Not enough data
8.9
1284
Not enough data
9.0
1289
Not enough data
8.9
1296
Not enough data
8.7
1263
Not enough data
8.8
1265
Not enough data
8.8
1271
Not enough data
9.1
1291
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
8.5
56
7.8
6
8.8
57
8.3
6
8.4
54
Integrations
Not enough data
7.8
45
Not enough data
8.2
45
Platform
8.0
5
8.2
50
7.3
5
8.5
53
Not enough data
8.2
45
Processing
Not enough data
8.5
52
9.2
6
8.5
55
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 Microsoft SQL Server 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
Microsoft SQL Server is categorized as Relational Databases, Database Management Systems (DBMS), and On-Premise Data Integration
Reviews
Reviewers' Company Size
Control-M
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Microsoft SQL Server
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
26.3%
Financial Services
8.1%
Banking
8.1%
Retail
7.1%
Insurance
7.1%
Other
43.4%
Information Technology and Services
24.2%
Computer Software
13.7%
Hospital & Health Care
5.4%
Financial Services
4.2%
Higher Education
2.9%
Other
49.6%
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
What is the best way to save your queries?
4 Comments
CA
I recommend that you use the saved querys in plain text or .sql or txt format you can use the same sql server query creator or a notepad +++ tool, they are...Read more
How could I make much easier the experience with the order of my database?
4 Comments
AF
You can create different tables with your employee information eg employee table, employee roles etc. Then you can create a single view that will pull data...Read more
How can I work on the same query if the connection is lost (timeout) and then I reconnect?
4 Comments
JE
When this happens to me in SQL Server Management Studio, I just have to type USE {your database name here} and then select only that statement and execute...Read more
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