Introduction

Welcome to Julius Graph Engine!

We are a group of researchers and engineers passionate about graph computing. We spent the past few years at Julius Technologies building a truly innovative graph computing solution that solves some of the most challenging problems with enterprise computing including: scalability, transparency, and lineage. We are excited to offer developers free access to Julius' online development environment, where you can learn and test drive graph computing and graph programming using Julius Graph Engine.

The following tutorials illustrate the benefits of graph computing in solving real world problems. Once you go through these tutorials, you will appreciate the power and elegance of graph computing and graph programming, you will never look at programming the same way again!

To report bugs or request new features, please raise an issue here. To schedule a live demo, please go to http://juliustech.co. Please check out this FAQ page or email us at info@juliustech.co for other general questions and inquiries.

All the tutorials are copyrighted by Julius Technologies, their use is governed by the term of use.

Contents

How to start

Our tutorials are available in two formats:

  • As interactive Jupyter notebooks hosted in Julius' development environment. This is the best format for you to learn and experiment with graph computing interactively. To gain access to these online notebooks, please register for developer access, it only takes a minute!

  • As static HTML pages, which contain the same descriptions, source code and results as the notebooks, but they are not interactive. If you want to read about Julius Graph Engine and its capabilities without registering for developer access, please click here to access the tutorials in HTML format.