Loading data into Amazon Neptune

If you only need to load a relatively small amount of data, you can use queries such as SPARQL INSERT statements or Gremlin mergeV and mergeE steps. openCypher also includes CREATE and MERGE clauses.

You can take advantage of Neptune Bulk Loader to ingest large amounts of data that reside in external files. The bulk loader command is faster and has less overhead than the query-language commands. It is optimized for large datasets, and supports both RDF (Resource Description Framework) data and Gremlin data.

You can use AWS Database Migration Service (AWS DMS) to import data from other data stores (see Using AWS Database Migration Service to load data into Amazon Neptune from a different data store, and AWS Database Migration Service User Guide).

For smaller datasets in one or a few Amazon S3 files, you can use query-based loading functions to read and process data directly within your queries. See Loading data into Amazon Neptune using queries for more details.