<commit_before>---
layout: page
title: Arabesque: A System for Distributed Graph Mining
permalink: /projects/arabesque/
---


Arabesque is a distributed graph mining system that enables quick and easy development of graph mining algorithms, while providing a scalable and efficient implementation that runs on top of Hadoop.


## Overview
Benefits of Arabesque:
- Simple intuitive API, tuned for Graph Mining Problems
- Handles all the complexity of Graph Mining Algorithms transparently
- Scalable to hundreds of machines
- Efficient implementation: negligible overhead compared to equivalent centralized solutions
- Support of large graphs with over a billion edges. It can process trillion of subgraphs in a commodity cluster.
- Designed for Hadoop. Runs as an Apache Giraph Job.
- Open-Source with Apache 2.0 license.

## Demo (optional)
- [http://arabesque.io](http://arabesque.io)


## publications
- Check our SOSP 2015 [paper](http://sigops.org/sosp/sosp15/current/2015-Monterey/printable/093-teixeira.pdf) that describe the system.


## Team<commit_msg>essam initial team page and folders for members<commit_after>---
layout: page
title: "Arabesque: A System for Distributed Graph Mining"
permalink: /projects/arabesque/
---


Arabesque is a distributed graph mining system that enables quick and easy development of graph mining algorithms, while providing a scalable and efficient implementation that runs on top of Hadoop.


## Overview
Benefits of Arabesque:
- Simple intuitive API, tuned for Graph Mining Problems
- Handles all the complexity of Graph Mining Algorithms transparently
- Scalable to hundreds of machines
- Efficient implementation: negligible overhead compared to equivalent centralized solutions
- Support of large graphs with over a billion edges. It can process trillion of subgraphs in a commodity cluster.
- Designed for Hadoop. Runs as an Apache Giraph Job.
- Open-Source with Apache 2.0 license.

## Demo (optional)
- [http://arabesque.io](http://arabesque.io)


## publications
- Check our SOSP 2015 [paper](http://sigops.org/sosp/sosp15/current/2015-Monterey/printable/093-teixeira.pdf) that describe the system.


## Team
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