Get Advice Icon

Need advice about which tool to choose?Ask the StackShare community!

Airflow
Airflow

325
260
+ 1
19
Apache Flink
Apache Flink

141
151
+ 1
11
Add tool

Airflow vs Apache Flink: What are the differences?

Developers describe Airflow as "A platform to programmaticaly author, schedule and monitor data pipelines, by Airbnb". Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed. On the other hand, Apache Flink is detailed as "Fast and reliable large-scale data processing engine". Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.

Airflow can be classified as a tool in the "Workflow Manager" category, while Apache Flink is grouped under "Big Data Tools".

Some of the features offered by Airflow are:

  • Dynamic: Airflow pipelines are configuration as code (Python), allowing for dynamic pipeline generation. This allows for writting code that instantiate pipelines dynamically.
  • Extensible: Easily define your own operators, executors and extend the library so that it fits the level of abstraction that suits your environment.
  • Elegant: Airflow pipelines are lean and explicit. Parameterizing your scripts is built in the core of Airflow using powerful Jinja templating engine.

On the other hand, Apache Flink provides the following key features:

  • Hybrid batch/streaming runtime that supports batch processing and data streaming programs.
  • Custom memory management to guarantee efficient, adaptive, and highly robust switching between in-memory and data processing out-of-core algorithms.
  • Flexible and expressive windowing semantics for data stream programs

Airflow and Apache Flink are both open source tools. It seems that Airflow with 12.9K GitHub stars and 4.71K forks on GitHub has more adoption than Apache Flink with 9.35K GitHub stars and 5K GitHub forks.

According to the StackShare community, Airflow has a broader approval, being mentioned in 72 company stacks & 33 developers stacks; compared to Apache Flink, which is listed in 20 company stacks and 22 developer stacks.

What is Airflow?

Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.

What is Apache Flink?

Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.
Get Advice Icon

Need advice about which tool to choose?Ask the StackShare community!

Why do developers choose Airflow?
Why do developers choose Apache Flink?

Sign up to add, upvote and see more prosMake informed product decisions

    Be the first to leave a con
      Be the first to leave a con
      What companies use Airflow?
      What companies use Apache Flink?

      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with Airflow?
      What tools integrate with Apache Flink?

      Sign up to get full access to all the tool integrationsMake informed product decisions

      What are some alternatives to Airflow and Apache Flink?
      Luigi
      It is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
      Apache NiFi
      An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.
      Jenkins
      In a nutshell Jenkins CI is the leading open-source continuous integration server. Built with Java, it provides over 300 plugins to support building and testing virtually any project.
      AWS Step Functions
      AWS Step Functions makes it easy to coordinate the components of distributed applications and microservices using visual workflows. Building applications from individual components that each perform a discrete function lets you scale and change applications quickly.
      Apache Beam
      It implements batch and streaming data processing jobs that run on any execution engine. It executes pipelines on multiple execution environments.
      See all alternatives
      Decisions about Airflow and Apache Flink
      No stack decisions found
      Interest over time
      Reviews of Airflow and Apache Flink
      No reviews found
      How developers use Airflow and Apache Flink
      Avatar of Eugene Ivanchenko
      Eugene Ivanchenko uses AirflowAirflow

      Manage the calculation pipeline and data distribution procedures.

      Avatar of Coolfront Technologies
      Coolfront Technologies uses Apache FlinkApache Flink

      Used for analytics on streaming data.

      Avatar of rmetzger
      rmetzger uses Apache FlinkApache Flink

      Flink for stream data analytics

      Avatar of Christopher Davison
      Christopher Davison uses AirflowAirflow

      Used for scheduling ETL jobs

      How much does Airflow cost?
      How much does Apache Flink cost?
      Pricing unavailable
      Pricing unavailable
      News about Apache Flink
      More news