Amazon Neptune
User Guide (API Version 2017-11-29)

Loading Data into Neptune

Amazon Neptune provides a process for loading data from external files directly into a Neptune DB instance. You can use this process instead of executing a large number of INSERT statements, addVertex and addEdge steps, or other API calls.

The Neptune Loader command is faster, has less overhead, is optimized for large datasets, and supports both RDF (Resource Description Framework) and Gremlin data.

The following diagram shows an overview of the load process:

            Diagram showing the basic steps involved in loading data into Neptune.

Here are the steps of the loading process:

  1. Copy the data files to an Amazon Simple Storage Service (Amazon S3) bucket.

  2. Create an IAM role with Read and List access to the bucket.

  3. Create an Amazon S3 VPC endpoint.

  4. Start the Neptune loader by sending a request via HTTP to the Neptune DB instance.

  5. The Neptune DB instance assumes the IAM role to load the data from the bucket.

The following sections provide instructions for preparing and loading data into Neptune.