Apache Airflow

Apache Airflow

The Apache Software Foundation
Control-M

Control-M

BMC Software
+
+

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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/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

The Apache Software Foundation
Founded: 1999
United States
airflow.apache.org

Company Information

BMC Software
Founded: 1980
United States
www.bmc.com/it-solutions/control-m.html

Alternatives

JAMS

JAMS

JAMS Software

Alternatives

ActiveBatch Workload Automation

ActiveBatch Workload Automation

ActiveBatch by Redwood
dbt

dbt

dbt Labs
Amazon MWAA

Amazon MWAA

Amazon
Tidal by Redwood

Tidal by Redwood

Redwood Software

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
Decube
DoubleCloud
Foundational
Jenkins
Microsoft Purview
OpenMetadata
Oracle Cloud Infrastructure
Prophecy
Stonebranch
Yandex Data Proc

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
Decube
DoubleCloud
Foundational
Jenkins
Microsoft Purview
OpenMetadata
Oracle Cloud Infrastructure
Prophecy
Stonebranch
Yandex Data Proc
Claim Apache Airflow and update features and information
Claim Apache Airflow and update features and information
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