This is the 3rd post of the JanusGraph Deep Dive series. If you haven’t already, you might be interested in the other two posts: Data Layout in JanusGraph and Demystify Indexing. In this blog post, we will discuss how to speed up your edge queries without or with vertex-centric indexes. How is an Edge Stored? …

In my previous blog post, I introduced the Dynamo API Service, which is our project to make Apache Cassandra® compatible with Amazon DynamoDB by building a middleware. In this blog post, I will share a few interesting challenges we encountered and how we tackled them. How to Authenticate? This is the first problem…

It’s been almost a year since I wrote the first blog post of the JanusGraph deep dive series. If you haven’t read it already, Data Layout in JanusGraph helps you understand the basics of the data model. In this blog post, I will demystify indexing in JanusGraph by explaining the…

To fulfill my capstone project requirement for the Carnegie Mellon University (CMU) Master of Computational Data Science (MCDS) program, I and two of my classmates, Ziyan Zhang and Xiang Yue, collaborated with DataStax to develop a new module in the Stargate system to bring Amazon DynamoDB compatibility to Apache Cassandra®…

JanusGraph is a distributed graph database. It implements the Apache TinkerPop framework and thus supports OLAP queries based on the Spark engine. This is a tutorial that guides you to run JanusGraph on Spark. We will cover three modes: Spark local, Spark standalone cluster, and Spark on yarn. This tutorial…

This article is the first one of the series JanusGraph Deep Dive. It assumes you have a basic knowledge of JanusGraph and Cassandra. It also assumes you have read the official documentation of JanusGraph Data Model, although no thorough understanding is required.