Amazon Web Services (AWS) has released an open source web interface that lets data teams turn selected records from Apache Iceberg tables into graphs for analysis in Amazon Neptune Analytics.
The interface runs locally. Users select an Amazon Athena catalog and database, use SQL/PGQ to define which records and relationships form the graph, and preview rows before importing them. The tool runs the queries in Athena, stages the selected data in Amazon S3, and loads it into Neptune Analytics. Users can then open the graph in Graph Explorer to query and visualize relationships.
For example, a fraud team could select relevant account and transaction records and use graph algorithms to identify clusters of connected accounts for further investigation. The workflow lets teams load the subset they need and handles the staging and import steps that would otherwise require a custom ETL pipeline.
For more information, see GitHub and the news post.