![]() Hevo Data, a No-code Data Pipeline, helps to integrate data from 100+ sources and load it into a data warehouse of your choice to visualize it in your desired BI tool. Elegant: Apache Airflow houses a Jinja templating engine, that allows users to parameterize configuration scripts and hence create lean & explicit data pipelines.įor further information on Apache Airflow, you can check the official website here.Extensible: With Apache Airflow, you can define executors, operators and extend your libraries to match the level of abstraction suitable for your business needs.Dynamic: Apache Airflow allows you to develop data pipelines dynamically by writing configuration code in Python.It also has a rich user interface that makes it easy to monitor progress, visualize pipelines, and troubleshoot issues when necessary. Apache Airflow houses rich command-line utilities that allow users to work with DAGs, that help companies order and manage their tasks with ease. It makes use of a scheduler that helps execute numerous jobs with the help of an array of workers while following a set of specified dependencies. What is Apache Airflow?Īpache Airflow is a robust platform that allows users to automate tasks with the help of scripts. Its distributed nature and streamlined mechanism of managing incoming data, make it one of the most robust tools that a business can rely upon to carry out real-time data analysis.įor further information on Apache Kafka, you can check the official website here. Being open-source, it is available free of cost to users and, hence it houses a broad network of developers & users that help contribute to new features, updates, support functionalities, etc.Īpache Kafka runs on a distributed environment that makes use of multiple servers, allowing it to leverage the processing power and storage capabilities of numerous systems. ![]() Table of ContentsĪpache Kafka is one of the most popular open-source software that provides users with a framework to store, read, and analyze streaming data. This article aims at introducing you to these industry-leading platforms by Apache and providing you with an in-depth comparison of Apache Kafka vs Airflow, focussing on their features, use cases, integration support, and pros & cons of both platforms. Although these platforms seem to perform related tasks, some crucial differences between the two set up them apart. Apache Kafka vs Airflow: Disadvantages of Apache AirflowĪpache Kafka and Airflow are two such open-source task management platforms that help companies create seamlessly functioning workflows to organize, execute and monitor their tasks.Apache Kafka vs Airflow: Disadvantages of Apache Kafka.Apache Kafka vs Airflow: Some Critical Differences.Comparing Apache Kafka and Apache Airflow.Simplify your data analysis with Hevo’s No-code Data Pipelines.
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