Apache Airflow vs. Azure Logic Apps

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Airflow
Score 8.6 out of 10
N/A
Apache Airflow is an open source tool that can be used to programmatically author, schedule and monitor data pipelines using Python and SQL. Created at Airbnb as an open-source project in 2014, Airflow was brought into the Apache Software Foundation’s Incubator Program 2016 and announced as Top-Level Apache Project in 2019. It is used as a data orchestration solution, with over 140 integrations and community support.N/A
Azure Logic Apps
Score 8.8 out of 10
N/A
Microsoft offers the Azure Logic Apps as a cloud-based integration service, supporting data and application integration.
$0
per execution
Pricing
Apache AirflowAzure Logic Apps
Editions & Modules
No answers on this topic
Actions
$0.000025
per execution
Standard Connector
$0.000025
per execution
Enterprise Connector
$0.001
per execution
Integration Account - Basic
$0.42
per hour
Integration Account - Standard
$1.37
per hour
Offerings
Pricing Offerings
Apache AirflowAzure Logic Apps
Free Trial
NoYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Features
Apache AirflowAzure Logic Apps
Workload Automation
Comparison of Workload Automation features of Product A and Product B
Apache Airflow
9.7
10 Ratings
16% above category average
Azure Logic Apps
-
Ratings
Multi-platform scheduling9.910 Ratings00 Ratings
Central monitoring9.910 Ratings00 Ratings
Logging9.810 Ratings00 Ratings
Alerts and notifications9.810 Ratings00 Ratings
Analysis and visualization9.810 Ratings00 Ratings
Application integration9.010 Ratings00 Ratings
Cloud Data Integration
Comparison of Cloud Data Integration features of Product A and Product B
Apache Airflow
-
Ratings
Azure Logic Apps
8.6
16 Ratings
7% above category average
Pre-built connectors00 Ratings9.316 Ratings
Connector modification00 Ratings9.015 Ratings
Support for real-time and batch integration00 Ratings8.314 Ratings
Data quality services00 Ratings8.514 Ratings
Data security features00 Ratings8.015 Ratings
Monitoring console00 Ratings8.514 Ratings
Best Alternatives
Apache AirflowAzure Logic Apps
Small Businesses

No answers on this topic

Make
Make
Score 9.2 out of 10
Medium-sized Companies
ActiveBatch Workload Automation
ActiveBatch Workload Automation
Score 8.1 out of 10
Make
Make
Score 9.2 out of 10
Enterprises
Control-M
Control-M
Score 9.3 out of 10
IBM App Connect
IBM App Connect
Score 8.9 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache AirflowAzure Logic Apps
Likelihood to Recommend
9.0
(10 ratings)
9.0
(16 ratings)
Usability
10.0
(1 ratings)
9.0
(5 ratings)
Support Rating
-
(0 ratings)
7.5
(2 ratings)
User Testimonials
Apache AirflowAzure Logic Apps
Likelihood to Recommend
Apache
For a quick job scanning of status and deep-diving into job issues, details, and flows, AirFlow does a good job. No fuss, no muss. The low learning curve as the UI is very straightforward, and navigating it will be familiar after spending some time using it. Our requirements are pretty simple. Job scheduler, workflows, and monitoring. The jobs we run are >100, but still is a lot to review and troubleshoot when jobs don't run. So when managing large jobs, AirFlow dated UI can be a bit of a drawback.
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Microsoft
Microsoft Azure Logic Apps was a perfect solution for us to integrate the apps and products we used in our business to create automated workflows which were also complex and very advanced. This was a very new feature for us, and also it reduced our software costs massively and also saved us a lot of time. With the crisis, we were in back then Azure turned out to be the best cost-friendly solution because we only had to pay for what we used!
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Pros
Apache
  • In charge of the ETL processes.
  • As there is no incoming or outgoing data, we may handle the scheduling of tasks as code and avoid the requirement for monitoring.
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Microsoft
  • Connecting to different services using OOB connectors
  • Support for HTTP connectors which enables user to leverage RestAPIs
  • Readability, i.e., it looks just like a Visio diagram. Even managers or HRs can have a look and get to know what's happening
  • It's a Programmer's Lego. It's fun connecting them at the same time getting the work done
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Cons
Apache
  • they should bring in some time based scheduling too not only event based
  • they do not store the metadata due to which we are not able to analyze the workflows
  • they only support python as of now for scripted pipeline writing
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Microsoft
  • It falls short of alerting capabilities.
  • Microsoft Azure should be unclouded with its pricing. We don't always know how much an inclusion will affect the monthly price. So we have to speculate where we are with the price and if we can afford to include another asset.
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Usability
Apache
Easy to learn Easy to use Robust workflow orchestration framework Good in dependent job management
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Microsoft
I found them easy to use and adapt to different scenarios, from Azure management to link processes between REST APIs. Together with Function Apps, they're probably the most useful resource type for Azure. Today, I use them in production, and that's a key component: stable, secure, easy to manage, and maintain.
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Support Rating
Apache
No answers on this topic
Microsoft
Azure Logic Apps are backed by Azure and Microsoft. There is a wealth of information on the internet about both of these platforms. In addition to this Microsoft has a huge bush to using this platform and have offered many solutions and support options to the user. The only drawback is that it is a fairly new platform so the 3rd party information tends to be lacking.
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Alternatives Considered
Apache
There are a number of reasons to choose Apache Airflow over other similar platforms- Integrations—ready-to-use operators allow you to integrate Airflow with cloud platforms (Google, AWS, Azure, etc) Apache Airflow helps with backups and other DevOps tasks, such as submitting a Spark job and storing the resulting data on a Hadoop cluster It has machine learning model training, such as triggering a Sage maker job.
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Microsoft
This is very dependent on the line of work you are in and the unique company requirements, as is the case with everything. We utilize Azure Logic Apps for all of our computing solutions within our domain, and it has always worked flawlessly. One of the simplest clouds to set up and use is by far the most popular.
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Return on Investment
Apache
  • A lot of helpful features out-of-the-box, such as the DAG visualizations and task trees
  • Allowed us to implement complex data pipelines easily and at a relatively low cost
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Microsoft
  • Moving to Serverless Computing obviously makes the organization get rid of dependent Infra.
  • ROI can be seen immediately as the required infra can be decommissioned after a successful quarter run.
  • Being deployed as a single entity or single app on Azure Logic Apps, Organizations need to be more careful with controls applied to meet compliance and security posture.
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ScreenShots