Loading and Updating Data

GraphDB exposes multiple interfaces for loading RDF data.

GraphDB’s data loading interfaces

Interface	Use cases	Mode	Speed
SPARQL endpoint	No limits on the file size	Online parallel	Moderate speed
Workbench import of a text snippet	Small text snippets	Online parallel	Moderate speed
Workbench import of a local or a remote RDF file	Small files limited up to 200MB	Online parallel	Moderate speed
Workbench import of a server file	No limits on the file size	Online parallel	Fast ignoring all HTTP protocol overheads
ImportRDF Load	Batch import of very big files	Initial offline import with no plugins	Fast, with small speed degradation
ImportRDF Preload	Import huge datasets with no inference	Initial offline import with no inference and plugins	Ultra-fast without speed degradation

All interfaces support multiple RDF formats.

• Loading Data Using the Workbench
• Loading Data Using the ImportRDF Tool

Updating data in GraphDB is done via smart updates using server-side SPARQL templates.

• Updating Data

GraphDB supports SHACL validation ensuring efficient data consistency checking.

• SHACL Validation

The GraphDB change tracking plugin allows you to track changes within the context of a transaction identified by a unique ID.

• Change Tracking

The GraphDB sequences plugin provides transactional sequences for GraphDB. A sequence is a long counter that can be atomically incremented in a transaction to provide incremental IDs.

• Sequences Plugin