GraphX | Apache Spark
GraphX is Apache Spark's API for graphs and graph-parallel computation. Seamlessly work with both graphs and collections. GraphX unifies ETL, exploratory analysis, and iterative graph computation …
What is Spark GraphX? Everything You Need To Know - Simplilearn
Sep 14, 2025 · What is Spark GraphX? GraphX is the newest component in Spark. It’s a directed multigraph, which means it contains both edges and vertices and can be used to represent a wide …
Flight Data Analysis Using Spark GraphX - Edureka
Mar 25, 2025 · GraphX is Apache Spark’s API for graphs and graph-parallel computation. GraphX unifies ETL (Extract, Transform & Load) process, exploratory analysis and iterative graph …
GraphX in Spark: A Complete Guide to Graph Processing
Aug 17, 2025 · GraphX allows developers to work with graphs and graph-parallel computations while leveraging the power of Spark’s distributed data processing engine. In this tutorial, we’ll cover what …
Harnessing the Power of Apache Spark GraphX for Efficient Graph ...
Jun 7, 2023 · Apache Spark GraphX is a distributed graph processing library built on top of Apache Spark. It abstracts graph-structured data into a flexible framework that allows scalable and parallel …
GraphX by amplab - GitHub Pages
The GraphX project combines the advantages of both data-parallel and graph-parallel systems by efficiently expressing graph computation within the Spark framework. We leverage new ideas in …
spark/docs/graphx-programming-guide.md at master - GitHub
GraphX is a new component in Spark for graphs and graph-parallel computation. At a high level, GraphX extends the Spark RDD by introducing a new Graph abstraction: a directed multigraph with …
GraphX: A Resilient Distributed Graph System on Spark
We introduce GraphX, which combines the advantages of both data-parallel and graph-parallel systems by efficiently expressing graph computation within the Spark data-parallel framework.
Apache Spark GraphX Tutorial - CloudDuggu
Apache Spark GraphX is a distributed graph processing framework that is used to process graphs in parallel. It provides a collection of Graph algorithms and builders which are used to analyze the …
Distributed Graph Processing with GraphX in Apache Spark
Dec 18, 2024 · GraphX is an Apache Spark library designed for the distributed processing of graphs. It allows you to represent graphs as RDDs (Resilient Distributed Datasets) and provides a rich set of …