The process of importing or loading data requires you to create an AuraDB instance beforehand.
There are two ways you can import data from a .csv file into an AuraDB instance:
There are some limitations to consider when using this method to load a .csv file into an AuraDB instance:
For security reasons, you must host your .csv file on a publicly accessible HTTP or HTTPS server. Examples of such servers include GitHub, Google Drive, and Dropbox.
LOAD CSVcommand is built to handle small to medium-sized data sets, such as anything up to 10 million nodes and relationships. You should avoid using this command for any data sets exceeding this limit.
Neo4j Data Importer is a UI-based tool for importing data that lets you:
Load data from flat files (
Define a graph model and map data to it.
Import the data into an AuraDB instance.
To load data with Neo4j Data Importer:
Navigate to the Neo4j Aura Console in your browser.
Select the Import button on the instance you want to open.
Alternatively, you can access Data Importer from the Import tab of Neo4j Workspace.
For more information on Neo4j Data Importer, see the Neo4j Data Importer documentation.
You must provide your AuraDB instance password before importing from the Neo4j Data Importer.