We have recently added a new feature that allows users to analyze their personal Twitter data in Neo4j, a graph database. To enable this, we set up a Neo4j Docker container for each user running on Amazon's Elastic Container Service (ECS), with each instance allocated 1/4th of a CPU core and 768MB of memory. The dataset includes various types of Twitter data such as followers, tweets, mentions, and hashtags, which can be queried using example queries provided on the web app or in the Neo4j browser. A custom built-in browser guide is also available to help users navigate their Twitter data in Neo4j.