# Azure Data Factory vs Control-M Comparison
---
## AI Generated Summary
- **G2 reviewers report** that Control-M excels in **centralized workflow management** , allowing users to schedule, monitor, and manage jobs across multiple systems from a single interface. This feature is particularly praised for its reliability and scalability, making it easier to automate workflows across both cloud and on-premises environments.
- **Users say** Azure Data Factory stands out for its **intuitive visual pipeline builder** , which simplifies the creation of complex data workflows without extensive coding. This ease of use is highlighted as a significant advantage for teams looking to streamline their data integration processes.
- **Reviewers mention** that Control-M's **powerful automation capabilities** make it a great choice for organizations needing robust scheduling tools. Users appreciate how it adapts to changing needs, ensuring that operations remain efficient as requirements evolve.
- **According to verified reviews** , Azure Data Factory is recognized for its **strong integration with Azure services** , which enhances its functionality for cloud data migration. Users find this integration crucial for building and managing data workflows effectively in a cloud-centric environment.
- **G2 reviewers highlight** that while Control-M has a solid reputation, it faces challenges in **ease of setup** , with some users noting that the initial configuration can be complex. This contrasts with Azure Data Factory, which is praised for its straightforward setup process, making it more accessible for new users.
- **Users report** that Azure Data Factory's **scalability and monitoring features** are particularly beneficial for organizations looking to manage large volumes of data. The scheduling and monitoring capabilities are frequently mentioned as key strengths that enhance operational efficiency.



| | Azure Data Factory | Control-M | 
|---|---|---|
| **Star Rating** | 4.6 out of 5 | 4.3 out of 5 | 
| **Total Reviews** | 100 | 163 | 
| **Largest Market Segment** | Enterprise (59.6% of reviews) | Enterprise (61.4% of reviews) | 
| **Entry Level Price** | No pricing available | Starting at $29,000.00 500 Executions Per Month | 

---
## Top Pros & Cons

### Azure Data Factory

Pros:
- Data Integration (7 reviews)
- Ease of Use (7 reviews)

Cons:
- Debugging Difficulty (5 reviews)
- Difficult Debugging (4 reviews)

### Control-M

Pros:
- Ease of Use (50 reviews)
- Automation (33 reviews)

Cons:
- Complexity (35 reviews)
- Learning Curve (24 reviews)

---
## Ratings Comparison
| Rating | Azure Data Factory | Control-M | 
|---|---|---|
  | **Meets Requirements** | 9.1 (77 reviews) | 9.0 (95 reviews) | 
  | **Ease of Use** | 8.9 (79 reviews) | 8.7 (98 reviews) | 
  | **Ease of Setup** | 9.0 (44 reviews) | 8.0 (64 reviews) | 
  | **Ease of Admin** | 8.7 (31 reviews) | 8.6 (43 reviews) | 
  | **Quality of Support** | 8.8 (72 reviews) | 8.5 (92 reviews) | 
  | **Has the product been a good partner in doing business?** | 9.1 (30 reviews) | 8.9 (44 reviews) | 
  | **Product Direction (% positive)** | 9.8 (73 reviews) | 8.6 (92 reviews) | 

---
## Pricing

### Azure Data Factory

#### Entry-Level Pricing

No pricing available

#### Free Trial

No information available

### Control-M

#### Entry-Level Pricing

Plan: Starter Pack (SaaS)

Price: Starting at $29,000.00 500 Executions Per Month

Description: Full-featured Control-M SaaS orchestration — right-sized for growing teams and hybrid cloud apps.

Key Features:
- Visual Workflow Designer
- Cloud native & hybrid app integration 
- API jobs, event triggers, file transfer

[Learn more about Control-M](https://www.g2.com/products/control-m/reviews)

#### Free Trial

No

---
## Features Comparison By Category

### Workload Automation

| Product | Score | Reviews |
|---|---|---|
| **Azure Data Factory** | N/A | N/A |
| **Control-M** | 8.4/10 | 71 |

#### Automation

| Feature | Azure Data Factory | Control-M | 
|---|---|---|
| **Workload Processing** | Not enough data | 9.1 (54 reviews) | 
| **Scalability** | Not enough data | 8.8 (52 reviews) | 
| **Intelligent Automation** | Not enough data | 8.2 (29 reviews) | 

#### Administration

| Feature | Azure Data Factory | Control-M | 
|---|---|---|
| **Administration Console** | Not enough data | 7.9 (51 reviews) | 
| **Workflow Management** | Not enough data | 9.0 (51 reviews) | 
| **IT Issue Identification** | Not enough data | 8.4 (43 reviews) | 
| **Proactive Workflow** | Not enough data | 8.3 (27 reviews) | 
| **Error Alerts** | Not enough data | 8.5 (31 reviews) | 
| **Service Management** | Not enough data | 8.6 (26 reviews) | 

#### Functionality

| Feature | Azure Data Factory | Control-M | 
|---|---|---|
| **Job Scheduling** | Not enough data | 9.4 (64 reviews) | 
| **API / Integrations** | Not enough data | 8.4 (45 reviews) | 
| **Integrations** | Not enough data | 8.7 (34 reviews) | 

#### Agentic AI - Workload Automation

| Feature | Azure Data Factory | Control-M | 
|---|---|---|
| **Autonomous Task Execution** | Not enough data | 8.6 (12 reviews) | 
| **Multi-step Planning** | Not enough data | 8.9 (11 reviews) | 
| **Cross-system Integration** | Not enough data | 8.9 (16 reviews) | 
| **Adaptive Learning** | Not enough data | 7.8 (10 reviews) | 
| **Natural Language Interaction** | Not enough data | 7.5 (10 reviews) | 
| **Proactive Assistance** | Not enough data | 7.4 (11 reviews) | 
| **Decision Making** | Not enough data | 7.8 (10 reviews) | 

### ETL Tools

| Product | Score | Reviews |
|---|---|---|
| **Azure Data Factory** | 9.0/10 | 62 |
| **Control-M** | N/A | N/A |

#### Management

| Feature | Azure Data Factory | Control-M | 
|---|---|---|
| **Reporting** | 8.6 (50 reviews) | Not enough data | 
| **Auditing** | 8.4 (46 reviews) | Not enough data | 

#### Functionality

| Feature | Azure Data Factory | Control-M | 
|---|---|---|
| **Extraction** | 9.2 (56 reviews) | Not enough data | 
| **Transformation** | 9.1 (54 reviews) | Not enough data | 
| **Loading** | 9.4 (52 reviews) | Not enough data | 
| **Automation** | 9.2 (54 reviews) | Not enough data | 
| **Scalability** | 9.1 (51 reviews) | Not enough data | 

### Continuous Delivery

| Product | Score | Reviews |
|---|---|---|
| **Azure Data Factory** | N/A | N/A |
| **Control-M** | N/A | N/A |

#### Functionality

| Feature | Azure Data Factory | Control-M | 
|---|---|---|
| **Deployment-Ready Staging** | Not enough data | Not enough data | 
| **Integration** | Not enough data | Not enough data | 
| **Extensible** | Not enough data | Not enough data | 

#### Management

| Feature | Azure Data Factory | Control-M | 
|---|---|---|
| **Processes and Workflow** | Not enough data | Not enough data | 
| **Reporting** | Not enough data | Not enough data | 
| **Automation** | Not enough data | Not enough data | 

#### Agentic AI - Continuous Delivery

| Feature | Azure Data Factory | Control-M | 
|---|---|---|
| **Autonomous Task Execution** | Not enough data | Not enough data | 
| **Cross-system Integration** | Not enough data | Not enough data | 
| **Adaptive Learning** | Not enough data | Feature Not Available | 
| **Natural Language Interaction** | Not enough data | Not enough data | 
| **Proactive Assistance** | Not enough data | Feature Not Available | 

### Continuous Integration

| Product | Score | Reviews |
|---|---|---|
| **Azure Data Factory** | N/A | N/A |
| **Control-M** | 10.0/10 | 6 |

#### Functionality

| Feature | Azure Data Factory | Control-M | 
|---|---|---|
| **Integrations** | Not enough data | Not enough data | 
| **Extensibility** | Not enough data | Not enough data | 
| **Test Customization** | Not enough data | Not enough data | 

#### Management

| Feature | Azure Data Factory | Control-M | 
|---|---|---|
| **Automation** | Not enough data | 10.0 (5 reviews) | 
| **Processes and Workflow** | Not enough data | Not enough data | 
| **Reporting** | Not enough data | Not enough data | 

#### Agentic AI - Continuous Integration

| Feature | Azure Data Factory | Control-M | 
|---|---|---|
| **Autonomous Task Execution** | Not enough data | Not enough data | 
| **Cross-system Integration** | Not enough data | Not enough data | 
| **Adaptive Learning** | Not enough data | Feature Not Available | 
| **Natural Language Interaction** | Not enough data | Not enough data | 
| **Proactive Assistance** | Not enough data | Feature Not Available | 

### iPaaS

| Product | Score | Reviews |
|---|---|---|
| **Azure Data Factory** | N/A | N/A |
| **Control-M** | N/A | N/A |

#### Development 

| Feature | Azure Data Factory | Control-M | 
|---|---|---|
| **Real-Time Integration** | Not enough data | Not enough data | 
| **API Designer** | Not enough data | Feature Not Available | 
| **Flow Designer** | Not enough data | Not enough data | 
| **Pre-Built Connectors** | Not enough data | Not enough data | 
| **Custom Connectors** | Not enough data | Not enough data | 
| **Reusable connectors** | Not enough data | Not enough data | 
| **Multi - tenant architecture** | Not enough data | Feature Not Available | 

#### Management 

| Feature | Azure Data Factory | Control-M | 
|---|---|---|
| **Monitoring & Notification** | Not enough data | Not enough data | 
| **Routing And Orchestration** | Not enough data | Not enough data | 
| **Data Mapping** | Not enough data | Not enough data | 
| **Data Transformation** | Not enough data | Not enough data | 
| **API Management** | Not enough data | Not enough data | 

#### Security

| Feature | Azure Data Factory | Control-M | 
|---|---|---|
| **Data Encryption** | Not enough data | Not enough data | 
| **Security Standards** | Not enough data | Not enough data | 
| **Communication Protocol** | Not enough data | Not enough data | 

#### Integration Options

| Feature | Azure Data Factory | Control-M | 
|---|---|---|
| **Data Virtualization** | Not enough data | Not enough data | 
| **Managed File Transfers** | Not enough data | Not enough data | 
| **Big Data Processing** | Not enough data | Not enough data | 
| **EDI** | Not enough data | Not enough data | 

#### Deployment 

| Feature | Azure Data Factory | Control-M | 
|---|---|---|
| **Hybrid** | Not enough data | Not enough data | 
| **Cloud to Cloud** | Not enough data | Not enough data | 

### Runbook Automation

| Product | Score | Reviews |
|---|---|---|
| **Azure Data Factory** | N/A | N/A |
| **Control-M** | N/A | N/A |

#### Automation Support - Runbook Automation

| Feature | Azure Data Factory | Control-M | 
|---|---|---|
| **Common Tool Integration** | Not enough data | Not enough data | 
| **Scripting Language Support** | Not enough data | Not enough data | 
| **Routine Task Automation** | Not enough data | Not enough data | 
| **Automated Task Notifications** | Not enough data | Not enough data | 

#### Error Management - Runbook Automation

| Feature | Azure Data Factory | Control-M | 
|---|---|---|
| **Runbook Procedure Updates** | Not enough data | Not enough data | 
| **Recovery Options** | Not enough data | Not enough data | 
| **Error Management in Automation** | Not enough data | Not enough data | 

#### Customization - Runbook Automation

| Feature | Azure Data Factory | Control-M | 
|---|---|---|
| **Runbook Customization** | Not enough data | Not enough data | 
| **Workflow Customization** | Not enough data | Not enough data | 
| **Incident Response Customization** | Not enough data | Not enough data | 

#### Compliance and Reporting - Runbook Automation

| Feature | Azure Data Factory | Control-M | 
|---|---|---|
| **Security Management** | Not enough data | Not enough data | 
| **Compliance Standards Adherence** | Not enough data | Not enough data | 
| **Reporting and Auditing** | Not enough data | Not enough data | 

#### Performance - Runbook Automation

| Feature | Azure Data Factory | Control-M | 
|---|---|---|
| **Self-Service for Non-IT Staff** | Not enough data | Not enough data | 
| **Team Collaboration Enhancement** | Not enough data | Not enough data | 
| **Load Handling Performance** | Not enough data | Not enough data | 

#### Agentic AI - Runbook Automation

| Feature | Azure Data Factory | Control-M | 
|---|---|---|
| **Autonomous Task Execution** | Not enough data | Not enough data | 
| **Multi-step Planning** | Not enough data | Not enough data | 
| **Cross-system Integration** | Not enough data | Not enough data | 
| **Adaptive Learning** | Not enough data | Feature Not Available | 
| **Natural Language Interaction** | Not enough data | Not enough data | 
| **Proactive Assistance** | Not enough data | Feature Not Available | 
| **Decision Making** | Not enough data | Not enough data | 

### Big Data Processing and Distribution

| Product | Score | Reviews |
|---|---|---|
| **Azure Data Factory** | N/A | N/A |
| **Control-M** | 8.3/10 | 8 |

#### Database

| Feature | Azure Data Factory | Control-M | 
|---|---|---|
| **Real-Time Data Collection** | Not enough data | 8.8 (7 reviews) | 
| **Data Distribution** | Not enough data | 8.1 (7 reviews) | 
| **Data Lake** | Not enough data | 8.6 (7 reviews) | 

#### Integrations

| Feature | Azure Data Factory | Control-M | 
|---|---|---|
| **Hadoop Integration** | Not enough data | 7.3 (5 reviews) | 
| **Spark Integration** | Not enough data | Not enough data | 

#### Platform

| Feature | Azure Data Factory | Control-M | 
|---|---|---|
| **Machine Scaling** | Not enough data | 8.0 (5 reviews) | 
| **Data Preparation** | Not enough data | 7.3 (5 reviews) | 
| **Spark Integration** | Not enough data | Not enough data | 

#### Processing

| Feature | Azure Data Factory | Control-M | 
|---|---|---|
| **Cloud Processing** | Not enough data | 9.0 (5 reviews) | 
| **Workload Processing** | Not enough data | 9.2 (6 reviews) | 

### Big Data

| Product | Score | Reviews |
|---|---|---|
| **Azure Data Factory** | N/A | N/A |
| **Control-M** | N/A | N/A |

#### Building Reports

| Feature | Azure Data Factory | Control-M | 
|---|---|---|
| **Data Transformation** | Not enough data | Not enough data | 
| **Data Modeling** | Not enough data | Not enough data | 
| **WYSIWYG Report Design** | Not enough data | Not enough data | 
| **Integration APIs** | Not enough data | Not enough data | 

#### Platform

| Feature | Azure Data Factory | Control-M | 
|---|---|---|
| **Mobile User Support** | Not enough data | Not enough data | 
| **Customization ** | Not enough data | Not enough data | 
| **User, Role, and Access Management** | Not enough data | Not enough data | 
| **Internationalization** | Not enough data | Not enough data | 
| **Sandbox / Test Environments** | Not enough data | Not enough data | 
| **Performance and Reliability** | Not enough data | Not enough data | 
| **Breadth of Partner Applications** | Not enough data | Not enough data | 

---
## Categories
**Shared Categories (1):** [Big Data Integration Platforms](https://www.g2.com/categories/big-data-integration-platforms)

**Unique to Azure Data Factory (1):** [ETL Tools](https://www.g2.com/categories/etl-tools)

**Unique to Control-M (7):** [Workload Automation Software](https://www.g2.com/categories/workload-automation), [Runbook Automation Software](https://www.g2.com/categories/runbook-automation), [Big Data Processing And Distribution Systems](https://www.g2.com/categories/big-data-processing-and-distribution), [iPaaS Software](https://www.g2.com/categories/ipaas), [Build Automation Software](https://www.g2.com/categories/build-automation), [Continuous Integration Tools](https://www.g2.com/categories/continuous-integration), [Continuous Delivery Tools](https://www.g2.com/categories/continuous-delivery-tools)


---
## Reviewer Demographics

### By Company Size

| Segment | Azure Data Factory | Control-M | 
|---|---|---|
| **Small-Business** | 11.7% | 19.7% | 
| **Mid-Market** | 28.7% | 18.9% | 
| **Enterprise** | 59.6% | 61.4% | 

### By Industry

#### Azure Data Factory

- **Information Technology and Services:** 31.6%
- **Computer Software:** 12.6%
- **Consulting:** 5.3%
- **Financial Services:** 5.3%
- **Airlines/Aviation:** 4.2%
- **Retail:** 4.2%
- **Hospital & Health Care:** 3.2%
- **Oil & Energy:** 2.1%
- **Education Management:** 2.1%
- **Logistics and Supply Chain:** 2.1%
- **Other:** 27.4%

#### Control-M

- **Information Technology and Services:** 24.8%
- **Banking:** 9.1%
- **Financial Services:** 8.3%
- **Telecommunications:** 7.4%
- **Insurance:** 6.6%
- **Retail:** 5.0%
- **Computer Software:** 5.0%
- **Hospital & Health Care:** 4.1%
- **Investment Banking:** 3.3%
- **Accounting:** 2.5%
- **Other:** 24.0%

---
## Alternatives

### Alternatives to Azure Data Factory

- [SnapLogic Intelligent Integration Platform (IIP)](https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews) — 4.4/5 stars (398 reviews)
- [dbt](https://www.g2.com/products/dbt/reviews) — 4.7/5 stars (209 reviews)
- [AWS Glue](https://www.g2.com/products/aws-glue/reviews) — 4.3/5 stars (202 reviews)
- [Maia](https://www.g2.com/products/matillion-maia/reviews) — 4.5/5 stars (125 reviews)
- [IBM DataStage](https://www.g2.com/products/ibm-datastage/reviews) — 4.0/5 stars (73 reviews)
- [Apache NiFi](https://www.g2.com/products/apache-nifi/reviews) — 4.2/5 stars (26 reviews)
- [Pentaho Data Integration](https://www.g2.com/products/pentaho-data-integration/reviews) — 4.3/5 stars (17 reviews)
- [Qlik Replicate](https://www.g2.com/products/qlik-replicate/reviews) — 4.3/5 stars (110 reviews)
- [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) — 4.5/5 stars (1226 reviews)
- [Fivetran](https://www.g2.com/products/fivetran/reviews) — 4.3/5 stars (796 reviews)

### Alternatives to Control-M

- [Red Hat Ansible Automation Platform](https://www.g2.com/products/red-hat-ansible-automation-platform/reviews) — 4.6/5 stars (377 reviews)
- [Snowflake](https://www.g2.com/products/snowflake/reviews) — 4.5/5 stars (756 reviews)
- [RunMyJobs](https://www.g2.com/products/runmyjobs/reviews) — 4.8/5 stars (312 reviews)
- [JAMS](https://www.g2.com/products/jams-software-llc-jams/reviews) — 4.5/5 stars (259 reviews)
- [PagerDuty](https://www.g2.com/products/pagerduty/reviews) — 4.5/5 stars (957 reviews)
- [ActiveBatch](https://www.g2.com/products/activebatch/reviews) — 4.5/5 stars (234 reviews)
- [Tidal Automation](https://www.g2.com/products/tidal-automation/reviews) — 4.6/5 stars (73 reviews)
- [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) — 4.5/5 stars (1226 reviews)
- [Jenkins](https://www.g2.com/products/jenkins/reviews) — 4.4/5 stars (566 reviews)
- [UiPath Agentic Automation](https://www.g2.com/products/uipath-agentic-automation/reviews) — 4.6/5 stars (7582 reviews)

---
## Top Discussions

### Azure Data Factory

- Title: [Is Azure data Factory an ETL tool?](https://www.g2.com/discussions/is-azure-data-factory-an-etl-tool) — 2 comments
  > **Top comment:** "Yes Azure Data Factory is a No-Code ETL tool. Very easy to use."

### Control-M

- Title: [Is Control-M an ETL tool?](https://www.g2.com/discussions/is-control-m-an-etl-tool) — 2 comments, 1 upvote
  > **Top comment:** "Yes. Control-M is used for scheduling and monitoring the jobs in ETL."
- Title: [What is Control-M and DevOps used for?](https://www.g2.com/discussions/what-is-control-m-and-devops-used-for) — 1 comment, 1 upvote
  > **Top comment:** "Control-M is used to automate, schedule, and monitor backend jobs and workflows, while DevOps is used to build, test, deploy, and operate software quickly..."
- Title: [What is workflow in control-M?](https://www.g2.com/discussions/what-is-workflow-in-control-m) — 1 comment
  > **Top comment:** "Control-M Workflow Insights provides valuable dashboards that give users in-depth observability to continuously monitor and improve performance of the..."
- Title: [What does control-M software do?](https://www.g2.com/discussions/what-does-control-m-software-do) — 1 comment
  > **Top comment:** "I used it in banking requirrd to automate job and scheduler."

---
**Source:** [G2.com](https://www.g2.com) | [Comparison Page](https://www.g2.com/compare/azure-data-factory-vs-control-m)