Apache Spark is an open-source program package for Windows that contains a distributed computing system designed for working with big data. It serves as a unified framework for handling a variety of tasks, including batch, stream, graph processing, and more.
Main advantages
The software solution is known for its exceptional speed and performance. It achieves this through in-memory computing, which allows data to be processed and stored in memory. Additionally, there are capabilities for distributing computations across a cluster of machines, alternatively called parallel processing.
Programming languages and community
Apache Spark provides a high-level API that supports multiple programming languages such Scala, Java, Python, and R. This flexibility enables you to work with a preferred codebase. There is no graphical interface shell by default, so you will have to use a standalone IDE like IntelliJ IDEA, for example.
The program has a vibrant and active community, which contributes to its continuous development and improvement. This means it is possible to view extensive documentation, tutorials, and sample code, making it easier for you to get started on your first project as well as resolve problems that arise.
Features
- free to download and use;
- compatible with modern Windows versions;
- enables you to process big data workloads;
- the framework supports different languages;
- you can work in third-party IDE applications.
