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Control-M VS Apache Airflow

Compare Control-M VS Apache Airflow and see what are their differences

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Control-M

Control‑M simplifies and automates diverse batch application workloads while reducing failure rates, improving SLAs, and accelerating application deployment.

Apache Airflow

Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
  • Control-M Landing page
    Landing page //
    2023-07-12
  • Apache Airflow Landing page
    Landing page //
    2023-06-17

Control-M

Categories
  • IT Automation
  • Workload Automation
  • Workflow Automation
  • Workflow Management
  • Data Automation
Website bmc.com  
Details $-

Apache Airflow

Categories
  • Workflow
  • Workflow Automation
  • Data Pipelines
  • ETL
  • Automation
Website airflow.apache.org  
Details $

Control-M videos

+ Add

Control-M Version 8 Overview

More videos:

  • Review - Control-M Self Service Overview
  • Review - Connect With Control-M: Control-M/Server 9 High Availability

Apache Airflow videos

+ Add

Airflow Tutorial for Beginners - Full Course in 2 Hours 2022

Category Popularity

0-100% (relative to Control-M and Apache Airflow)

Control-M

Apache Airflow

IT Automation
100 100%
IT Automation
0% 0
Workflow Automation
24 24%
Workflow Automation
76% 76
Monitoring Tools
100 100%
Monitoring Tools
0% 0
Automation
0 0%
Automation
100% 100

User comments

Share your experience with using Control-M and Apache Airflow. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Control-M and Apache Airflow

Control-M Reviews

Top 10 Control-M Alternatives in ’23
Job scheduling: On G2, the job scheduling feature receives the highest score with 9.4. However, Control-M alternatives, ActiveBatch and Redwood obtain higher scores for each category under functionality than Control-M (See Figure 5). Integrations/APIs: A user mentioned API and integration to other applications as a weak capability of the tool (Figure 1).
Source: research.aimultiple.com
9 Control-M Alternatives & Competitors In 2023
Verdict: Redwood platform offers better performance and visibility than the Control-M. This tool supports over 25 scripting languages and interfaces such as Python, R, and PowerShell with built-in syntax highlighting and parameter replacement. It also features advanced architecture and provides safe passage to businesses looking for Control-M alternatives through its...
Source: www.softwaretestingmaterial.com
The Top 5 BMC Control-M API Alternatives
Control-M Reports provide insights into job execution and performance. While the BMC Control-M interface provides robust reporting capabilities, there are also alternatives to generate reports using tools such as SQL and Hadoop. These tools can extract data from Control-M job logs and generate custom reports based on specific business requirements.
Source: www.redwood.com

Apache Airflow Reviews

A List of The 16 Best ETL Tools And Why To Choose Them
Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The platform features a web-based user interface and a command-line interface for managing and triggering workflows.
Source: www.datacamp.com
15 Best ETL Tools in 2022 (A Complete Updated List)
Apache Airflow programmatically creates, schedules and monitors workflows. It can also modify the scheduler to run the jobs as and when required.
Source: www.softwaretestinghelp.com
Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
When does Apache Airflow make sense? If you're performing long ETL jobs or your ETL has multiple steps, Airflow will let you restart from any point during the ETL process. That being said, Apache Airflows IS NOT a library, so it has to be deployed and may make less sense on small ETL jobs.
Source: www.xplenty.com
Comparison of Python pipeline packages: Airflow, Luigi, Gokart, Metaflow, Kedro, PipelineX
Not designed to pass data between dependent tasks without using a database. There is no good way to pass unstructured data (e.g. image, video, pickle, etc.) between dependent tasks in Airflow.
Source: medium.com

Social recommendations and mentions

Based on our record, Apache Airflow seems to be more popular. It has been mentiond 65 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Control-M mentions (0)

We have not tracked any mentions of Control-M yet. Tracking of Control-M recommendations started around Mar 2021.

Apache Airflow mentions (65)

  • The 2024 Web Hosting Report
    For the third, examples here might be analytics plugins in specialized databases like Clickhouse, data-transformations in places like your ETL pipeline using Airflow or Fivetran, or special integrations in your authentication workflow with Auth0 hooks and rules. - Source: dev.to / 13 days ago
  • Best ETL Tools And Why To Choose
    Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The platform features a web-based user interface and a command-line interface for managing and triggering workflows. Source: 4 months ago
  • Simplifying Data Transformation in Redshift: An Approach with DBT and Airflow
    Airflow is the most widely used and well-known tool for orchestrating data workflows. It allows for efficient pipeline construction, scheduling, and monitoring. - Source: dev.to / 4 months ago
  • Share Your favorite python related software!
    AIRFLOW This is more of a library in my opinion, but Airflow has become an essential tool for scheduling in my work. All our ML training pipelines are ordered and scheduled with Airflow and it works seamlessly. The dashboard provided is also fantastic! Source: 5 months ago
  • Ask HN: What is the correct way to deal with pipelines?
    I agree there are many options in this space. Two others to consider: - https://airflow.apache.org/ - https://github.com/spotify/luigi There are also many Kubernetes based options out there. For the specific use case you specified, you might even consider a plain old Makefile and incrond if you expect these all to run on a single host and be triggered by a new file... - Source: Hacker News / 5 months ago
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What are some alternatives?

When comparing Control-M and Apache Airflow, you can also consider the following products

ManageEngine RecoveryManager Plus - RecoveryManager Plus is one such enterprise backup solution which has the ability to easily backup and restores both the domain controllers and virtual machines.

ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.

Heroku Enterprise - Heroku Enterprise is a flexible IT management for developers that lets them build apps using their preferred languages and tools like Ruby, Java, Python and Node.

Microsoft Power Automate - Microsoft Power Automate is an automation platform that integrates DPA, RPA, and process mining. It lets you automate your organization at scale using low-code and AI.

SECDO - SECDO offers automated endpoint security and incident response solutions

Make.com - Tool for workflow automation (Former Integromat)

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