Company
Date Published
Author
Michael Hunger
Word count
2152
Language
English
Hacker News points
None

Summary

The Neo4j Data Importer is a client-side browser tool that allows users to load CSV files, create a graph model of labeled nodes and typed relationships, map CSV files to the elements of the graph model, run the import against local and remote servers, and export the model into shareable datasets. The tool is available for non-encrypted server connections hosted on an http URL. It can handle medium complexity data imports with 10 node- and relationship-types and medium size data (100k to 1M elements). Users can also use post-processing to handle some aspects that the data importer doesn't cover, such as filtering out unwanted fields or converting units like quantity to integer. The tool is designed for initial data imports and is not suitable for complex data transformations or recurring import runs. It supports denormalized datasets and allows users to create self-relationships and run incremental modeling. Users can provide feedback on the tool and learn more about it in GraphAcademy courses.