10 Best Airflow Alternatives for 2024

1

Apache Airflow

In a nutshell, you gained a basic understanding of Apache Airflow and its powerful features. On the other hand, you understood some of the limitations and disadvantages of Apache Airflow. Hence, this article helped you explore the best Apache Airflow Alternatives available in the market. So, you can try hands-on on these Airflow Alternatives and select the best according to your use case.

#Workflows #Workflow Automation #Data Pipelines 65 social mentions

2

Hevo Data

However, extracting complex data from a diverse set of data sources like CRMs, Project management Tools, Streaming Services, and Marketing Platforms can be quite challenging. This is where a simpler alternative like Hevo can save your day! Hevo Data is a No-Code Data Pipeline that offers a faster way to move data from 150+ Data Connectors including 40+ Free Sources, into your Data Warehouse to be visualized in a BI tool. Hevo is fully automated and hence does not require you to code.

#Data Replication #Data Integration #ETL 8 social mentions

3

Luigi

Among a popular choice for an Apache Airflow alternative is Luigi. It is a Python package that handles long-running batch processing. This means that it manages the automatic execution of data processing processes on several objects in a batch. A data processing job may be defined as a series of dependent tasks in Luigi.

#DevOps Tools #Workflow Automation #Workflows 9 social mentions

4

Apache NiFi

Apache NiFi is a free and open-source application that automates data transfer across systems. The application comes with a web-based user interface to manage scalable directed graphs of data routing, transformation, and system mediation logic. It is a sophisticated and reliable data processing and distribution system. To edit data at runtime, it provides a highly flexible and adaptable data flow method.

#Analytics #Web Analytics #Mobile Analytics 16 social mentions

5

AWS Step Functions

AWS Step Functions enable the incorporation of AWS services such as Lambda, Fargate, SNS, SQS, SageMaker, and EMR into business processes, Data Pipelines, and applications. Users and enterprises can choose between 2 types of workflows: Standard (for long-running workloads) and Express (for high-volume event processing workloads), depending on their use case.

#Project Management #Workflow Automation #Web Service Automation 57 social mentions

6

Prefect.io

Prefect blends the ease of the Cloud with the security of on-premises to satisfy the demands of businesses that need to install, monitor, and manage processes fast. It has helped businesses of all sizes realize the immediate financial benefits of being able to swiftly deploy, scale, and manage their processes. Unlike Apache Airflow’s heavily limited and verbose tasks, Prefect makes business processes simple via Python functions.

#Workflows #Workflow Automation #Data Integration

7

Dagster

Dagster is a Machine Learning, Analytics, and ETL Data Orchestrator. Since it handles the basic function of scheduling, effectively ordering, and monitoring computations, Dagster can be used as an alternative or replacement for Airflow (and other classic workflow engines).

#Utilities #Analytics #Analytics Integrator 1 social mentions

8

Kedro

Add CLI Commands: Plugins can be used to insert extra CLI commands that will be reused across projects. Kedro plugins allow you to extend Kedro’s functionality and inject new commands into the CLI. Plugins are created as stand-alone Python packages that are explicit to any Kedro project.

#Data Science And Machine Learning #Data Pipelines #Python Web Framework

9

Apache Oozie

One of the workflow scheduler services/applications operating on the Hadoop cluster is Apache Oozie. It is used to handle Hadoop tasks such as Hive, Sqoop, SQL, MapReduce, and HDFS operations such as distcp. It is a system that manages the workflow of jobs that are reliant on each other. Users can design Directed Acyclic Graphs of processes here, which can be performed in Hadoop in parallel or sequentially.

#IT Automation #Workflow Automation #Workload Automation 1 social mentions

10

Astronomer

Astronomer acts as a layer for seamless integration with Apache Airflow. Without directly managing the infrastructure of Astronomer you can leverage the capabilities of Apache airflow, ensuring best designs and execution of data pipelines.

#Customer Data Platform #Customer Data Integration #Analytics 4 social mentions

11

Azure Data Factory

#ETL #Data Integration #Workflow Automation 3 social mentions