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FalkorDB is a blazing fast graph database used for low latency & high throughput scenarios, under the hood it runs GraphBLAS to perform graph operations using sparse linear algebra.
- Adopting the Property Graph Model
- Supports OpenCypher query language with proprietary extensions
- Offers Full-Text Search, Vector Similarly & Numeric indexing.
- Interacts via either RESP and Bolt protocols
- Graphs represented as sparse adjacency matrices
Launch an instance using docker, or use FalkorDB Clouds
docker run -p 6379:6379 -p 3000:3000 -it --rm falkordb/falkordb:latestOnce loaded you can interact with FalkorDB using any of the supported client libraries
Here we'll use FalkorDB Python client to create a small graph representing a subset of motorcycle riders and teams taking part in the MotoGP league, once created we'll start querying our data.
from falkordb import FalkorDB
# Connect to FalkorDB
db = FalkorDB(host='localhost', port=6379)
# Create the 'MotoGP' graph
g = db.select_graph('MotoGP')
# Clear out this graph in case you've run this script before.
g.delete()
g.query("""CREATE
(:Rider {name:'Valentino Rossi'})-[:rides]->(:Team {name:'Yamaha'}),
(:Rider {name:'Dani Pedrosa'})-[:rides]->(:Team {name:'Honda'}),
(:Rider {name:'Andrea Dovizioso'})-[:rides]->(:Team {name:'Ducati'})""")
# Query which riders represents Yamaha?
res = g.query("""MATCH (r:Rider)-[:rides]->(t:Team)
WHERE t.name = 'Yamaha'
RETURN r.name""")
for row in res.result_set:
print(row[0]) # Prints: "Valentino Rossi"
# Query how many riders represent team Ducati ?
res = g.query("""MATCH (r:Rider)-[:rides]->(t:Team {name:'Ducati'}) RETURN count(r)""")
print(res.result_set[0][0]) # Prints: 1For additional demos please see visit Demos.
Language-specific clients have been written by the community and the FalkorDB team. The full list and links can be found on the Clients page.
When loading large graphs from CSV files, we recommend using falkordb-bulk-loader
Got questions? Please contact us at the FalkorDB forum.
FalkorDB is licensed under the the Server Side Public License v1 (SSPLv1).