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What is Control-M?

Control-M is a comprehensive workflow orchestration platform built to automate, optimize, and monitor mission-critical processes across modern hybrid infrastructures. It unifies data pipelines, batch workloads, and file transfers under a single operational view, eliminating the hidden complexity that slows down digital initiatives. The platform provides deep integrations with leading cloud and data technologies, making it simple to automate workflows that span AWS, Azure, Google Cloud, Snowflake, Databricks, and traditional on-prem systems. Control-M enhances production reliability through predictive analytics, SLA-driven insights, and real-time alerts that help teams resolve issues before they affect downstream business services. Its Jobs-as-Code model enables workflows to be versioned, tested, and deployed within existing CI/CD pipelines, improving software quality and accelerating releases. Developers, business users, and operations teams can collaborate more effectively thanks to role-based access and intuitive self-service interfaces. The platform also delivers powerful managed file transfer capabilities, ensuring secure and traceable movement of sensitive business data. With flexible deployment options across SaaS, self-hosted, and hybrid models, organizations can align Control-M with their cloud maturity and operational priorities. Large enterprises rely on Control-M for massive scale, proven stability, and the ability to orchestrate everything from core banking processes to advanced machine-learning data pipelines. By centralizing orchestration, organizations reduce costs, increase agility, and establish a future-ready operational backbone.

What is Azure Data Factory?

Effortlessly merge your data silos with Azure Data Factory, a flexible service tailored to accommodate a wide range of data integration needs for users of varying skill levels. The platform allows you to create both ETL and ELT workflows without the need for coding through its intuitive visual interface, or you can choose to implement custom code if that suits your preferences better. It also boasts seamless integration capabilities with more than 90 ready-to-use connectors, all included at no additional cost. With a strong emphasis on your data, this serverless integration service takes care of all the complexities for you. Azure Data Factory acts as a powerful layer for data integration and transformation, supporting your digital transformation initiatives. Moreover, it enables independent software vendors (ISVs) to elevate their SaaS offerings by integrating hybrid data, which helps them deliver more engaging, data-centric user experiences. By leveraging pre-built connectors and scalable integration features, you can focus on boosting user satisfaction while Azure Data Factory adeptly manages backend operations, thereby simplifying your data management processes. Additionally, this service empowers you to achieve greater agility and responsiveness in your data-driven strategies.

Media

Media

Integrations Supported

Pantomath
Apache Spark
Ascend
Azure Data Lake
Azure Service Fabric
BMC Compuware Topaz Connect
BMC Helix ITSM
BMC Helix Operations Management
DataHawk
FairCom EDGE
Microsoft Customer Lockbox
Microsoft Fabric
MindBridge
New Relic
Orchestra
RunMyJobs by Redwood
SSIS
Sirius
Stonebranch
Zipher

Integrations Supported

Pantomath
Apache Spark
Ascend
Azure Data Lake
Azure Service Fabric
BMC Compuware Topaz Connect
BMC Helix ITSM
BMC Helix Operations Management
DataHawk
FairCom EDGE
Microsoft Customer Lockbox
Microsoft Fabric
MindBridge
New Relic
Orchestra
RunMyJobs by Redwood
SSIS
Sirius
Stonebranch
Zipher

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

BMC Software

Date Founded

1980

Company Location

United States

Company Website

www.bmc.com/it-solutions/control-m.html

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/products/data-factory/

Categories and Features

Managed File Transfer (MFT)

API Integration
Authentication / Auditing
Compression
Data Sharing
Data Transmission Protocol Integration
Database Management
Encryption Support
Fail-Over / Load Balancing

Workload Automation

Alerts / Notifications
Audit Trails
Business Process Management
Cross-Platform Scheduling
Dashboard
Data Analysis / Visualization
Event-Triggers
Load Balancing
Resource-Based Scheduling
Robotic Process Automation (RPA)
Workflow Foundation Support

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

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