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Apache Airflow Alternatives

Apache Airflow is a popular platform for managing distributed applications. It relies on Directed Acyclic Graphs to schedule jobs across servers or nodes.

Furthermore, Airflow also helps manage Data Pipelines. Airflow runs into more challenges with testing, non-scheduled processes, parameterization, etc as as the data environment evolves.

Benefits of Apache Airflow

Airflow is used in companies all acorss the world. Here are some of the adavantages offered by Airflow:

• Airflow makes it easy to modify and adjust data pipelines anytime.
• It implements an advanced alert system that sends notifications about errors or interruptions.
• Airflow relies on tools like Zendesk, PostgreSQL, Docker, Kubernetes, Github, etc.

Common Apache Airflow Use Cases

Apache Airflow finds use across several scenarios like:

• Scheduling and pre-scheduling workflows based on certain parameters.
• Designing Extract, Transform, Load (ETL) pipelines for batch data processing.
• Training machine learning models with large datasets.

Popular Airflow Alternatives

Now, let’s take a look at some of the alternatives to Apache Airflow:

• Luigi:

  Developed by Spotify, Luigi helps manage complex workflows across clusters. This makes it ideal for heavy computations in Hadoop environments.
• Prefect:

  Similar to Airflow, Prefect offers a Python-based approach to workflow definition.
• Dagster:

  Dagster is a dedicated data orchestration tool. It enables the construction of complex workflows from smaller, reusable tasks.

Here are some key points to consider while choosing the best Airflow alternative:

• Workflow Complexity
• Ease of Use
• Modularity
• Cloud Integration

At the end of the day, while Apache Airflow is a great choice for workflow orchestration, there are several other alternatives to choose from based on your needs.

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Conclusion

In brief, our Support Experts introduced us to Apache Airflow alternatives.