Apache AirflowThe Apache Software Foundation
|
Control-MBMC Software
|
|||||
Related Products
|
||||||
About
Airflow is a platform created by the community to programmatically author, schedule and monitor workflows. Airflow has a modular architecture and uses a message queue to orchestrate an arbitrary number of workers. Airflow is ready to scale to infinity. Airflow pipelines are defined in Python, allowing for dynamic pipeline generation. This allows for writing code that instantiates pipelines dynamically. Easily define your own operators and extend libraries to fit the level of abstraction that suits your environment. Airflow pipelines are lean and explicit. Parametrization is built into its core using the powerful Jinja templating engine. No more command-line or XML black-magic! Use standard Python features to create your workflows, including date time formats for scheduling and loops to dynamically generate tasks. This allows you to maintain full flexibility when building your workflows.
|
About
Control-M accelerates business outcomes by orchestrating complex workflows across hybrid, cloud, and on-prem environments. With centralized visibility and governance, it simplifies operational complexity, reduces risk, and increases agility. The platform’s predictive analytics, event-driven automation, and seamless integration with modern toolchains enable IT, data, and DevOps teams to automate data pipelines and application workflows reliably at scale. Backed by BMC’s expertise in intelligent automation, Control-M connects people, systems, and data to power sustainable growth and transformation. Through predictive analytics, event-driven automation, and seamless integration with modern toolchains, Control-M helps organizations reduce risk, increase agility, and accelerate innovation.
Widely used in finance, healthcare, telecom, and manufacturing, it is valued for scalability, compliance, and operational resilience in mission-critical environments.
|
|||||
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
|||||
Audience
Anyone who wants to to programmatically author, schedule and monitor workflows
|
Audience
Control-M is designed for enterprise IT, DataOps, and DevOps teams that need to automate, orchestrate, and monitor complex workflows across applications, data platforms, and cloud environments from a single platform.
|
|||||
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
|||||
API
Offers API
|
API
Offers API
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
No information available.
Free Version
Free Trial
|
Pricing
$2400 / month
Free Version
Free Trial
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||||
Company InformationThe Apache Software Foundation
Founded: 1999
United States
airflow.apache.org
|
Company InformationBMC Software
Founded: 1980
United States
www.bmc.com/it-solutions/control-m.html
|
|||||
Alternatives |
Alternatives |
|||||
|
|
|
|||||
|
|
||||||
|
|
|
|||||
|
|
||||||
Categories |
Categories |
|||||
Managed File Transfer (MFT) Features
API Integration
Authentication / Auditing
Compression
Data Sharing
Data Transmission Protocol Integration
Database Management
Encryption Support
Fail-Over / Load Balancing
Workload Automation Features
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
|
||||||
Integrations
Google Cloud Managed Service for Apache Airflow
Amazon MWAA
Ardent
Azure Kubernetes Fleet Manager
Azure SQL Database
Beats
Cake AI
CircleCI
Control-M
Datakin
|
Integrations
Google Cloud Managed Service for Apache Airflow
Amazon MWAA
Ardent
Azure Kubernetes Fleet Manager
Azure SQL Database
Beats
Cake AI
CircleCI
Control-M
Datakin
|
|||||
|
|
|