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What is Control-M?

Control-M is a Workload Automation and orchestration platform designed to integrate applications, Data Pipelines, and infrastructure processes. The solution manages Hybrid Cloud (integrated on-premises and cloud resources) environments by providing a framework for the design, automation, and governance of workflows. According to the vendor, the platform is intended to centralize the management of operational dependencies to support organizational compliance and operational efficiency. The solution provides a shared environment for development, data, and operations teams to coordinate Workloads spanning Mainframe systems, cloud applications, and data technologies. This centralized approach is designed to provide visibility into automated processes and replace manual task coordination. Control-M includes monitoring tools intended to identify potential disruptions during process execution to maintain persistent operations. The platform utilizes Predictive Analytics and Event-Driven Automation to identify performance bottlenecks and respond to changing system conditions. The developer states that these capabilities allow operations teams to manage Service Level Agreements (SLAs) and resolve incidents with reduced manual intervention. Control-M integrates with DevOps (Development and Operations) and DataOps workflows to automate software delivery and data management. Organizations in the finance, healthcare, manufacturing, and telecommunications sectors utilize Control-M for tasks requiring high reliability and regulatory compliance. The platform is designed to consolidate fragmented operational environments into structured execution systems. The vendor states that the solution is intended to reduce technical complexity and support organizational agility through automated lifecycle management.

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

Amazon Redshift
Amazon RDS
Azure Red Hat OpenShift
Bitbucket
CircleCI
Docker
Oracle Cloud Infrastructure
SAP Integrated Business Planning (IBP)
SPARK

Integrations Supported

Amazon Redshift
Apache Spark
Azure Data Lake
Azure Service Fabric
Evvox
IBM watsonx.data integration
Orchestra
RTILA
RunMyJobs by Redwood
SSIS
Sirius
Suntek Reporting

API Availability

Has API

API Availability

Pricing Information

$2400 / month

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

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

Data Pipeline

Not specified

DataOps

Not specified

DevOps

Not specified

IT Automation

Not specified

Job Scheduler

Not specified

Managed File Transfer (MFT)

API Integration
Authentication / Auditing
Data Sharing
Database Management

Runbook Automation

Not specified

Secure File Transfer

Not specified

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 Integration

Not specified

Data Management

Not specified

Data Pipeline

Not specified

Data Preparation

Not specified

ETL

Not specified

Integration

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

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