Apache Spark Alternatives

Apache Flink is a free and open-source stream framework used for processing big data. The software is developed openly by the Apache Software Foundation and the community. The core of Apache Flink is written in Java and Scala as a distributed streaming data-flow engine. Data-flows executed by Flink programs are pipelined and run parallel to maximize efficiency.

Apache Storm makes it easy to reliably process unbounded streams of data for real-time processing. It is a distributed stream processing computation framework written predominantly in the programming language Clojure. The software is released free and open-source under the Apache License. In a nutshell, Apache Storm does to real-time processing, what Apache Hadoop did to bactch processing. Large corporations like Weather Channel, FullContact, Twitter, Yahoo, Spotify, and Alibaba use and trust Apache Storm for big data analytics with fault-tolerance and fast data processing.

Apache Hadoop is a free and open source software library that allows for the distributed processing of large data sets across clusters of computers using simple programming models. Apache Hadoop is designed to scale well, from single servers to thousands of machines offering local computation and storage. With Apache Hadoop you can store any kind of data and utilize the enormous processing power with the ability to handle virtually limitless concurrent tasks or jobs.

n8n is a free and open node-based Workflow Automation Tool. n8n can be self-hosted, while also being provided as a managed sulotion at n8n.io. The software can easily be extended and integrated with popular third-party services such as Github, Slack and many more.

Apache Airflow is a community created workflow management platform. The software is both free and open-source, and can be used to reduce complexity in organizations workflow. Apache Airflow is modular by nature, and has an architecture that makes it easy to customize to organizations specific needs. The software was was first developed at Airbnb to where it was used to programmatically author and schedule their workflows, allowing the organization to monitor them via the built-in Airflow dashboard.