ArangoRDF allows you to export graphs from ArangoDB into RDF and vice-versa

RDF is a standard model for data interchange on the Web. RDF has features that facilitate data merging even if the underlying schemas differ, and it specifically supports the evolution of schemas over time without requiring all the data consumers to be changed.

RDF extends the linking structure of the Web to use URIs to name the relationship between things as well as the two ends of the link (this is usually referred to as a “triple”). Using this simple model, it allows structured and semi-structured data to be mixed, exposed, and shared across different applications.

This linking structure forms a directed, labeled graph, where the edges represent the named link between two resources, represented by the graph nodes. This graph view is the easiest possible mental model for RDF and is often used in easy-to-understand visual explanations.

Check the resources below to get started:


Watch this lunch & learn session to get an introduction on ArangoRDF - an RDF adapter developed with the community as a first step at bringing RDF graphs into ArangoDB.

The ArangoRDF repository is available on Github. Check it out!


To install the latest release of ArangoRDF, run the following command:

pip install arango-rdf


The following example shows how to get started with ArangoRDF. Check also the interactive tutorial.

from arango import ArangoClient
from arango_rdf import ArangoRDF

db = ArangoClient(hosts="http://localhost:8529").db(
    "rdf", username="root", password="openSesame"

# Clean up existing data and collections
if db.has_graph("default_graph"):
    db.delete_graph("default_graph", drop_collections=True, ignore_missing=True)

# Initializes default_graph and sets RDF graph identifier (ArangoDB sub_graph)
# Optional: sub_graph (stores graph name as the 'graph' attribute on all edges in Statement collection)
# Optional: default_graph (name of ArangoDB Named Graph, defaults to 'default_graph',
#           is root graph that contains all collections/relations)
adb_rdf = ArangoRDF(db, sub_graph="") 
config = {"normalize_literals": False}  # default: False

# RDF Import

# Start with importing the ontology
adb_graph = adb_rdf.import_rdf("./examples/data/airport-ontology.owl", format="xml", config=config, save_config=True)

# Next, let's import the actual graph data
adb_graph = adb_rdf.import_rdf(f"./examples/data/sfo-aircraft-partial.ttl", format="ttl", config=config, save_config=True)

# RDF Export
# Exports ALL collections of the database,
# currently does not account for default_graph or sub_graph
# Results may vary, minifying may occur
rdf_graph = adb_rdf.export_rdf(f"./examples/data/rdfExport.xml", format="xml")

# Drop graph and ALL documents and collections to test import from exported data
if db.has_graph("default_graph"):
    db.delete_graph("default_graph", drop_collections=True, ignore_missing=True)

# Re-initialize our RDF Graph
# Initializes default_graph and sets RDF graph identifier (ArangoDB sub_graph)
adb_rdf = ArangoRDF(db, sub_graph="")


config = adb_rdf.get_config_by_latest() # gets the last config saved
# config = adb_rdf.get_config_by_key_value('graph', 'music')
# config = adb_rdf.get_config_by_key_value('AnyKeySuppliedInConfig', 'SomeValue')

# Re-import Exported data
adb_graph = adb_rdf.import_rdf(f"./examples/data/rdfExport.xml", format="xml", config=config)