Install Fluree

$docker run -p 8090:8090 fluree/fluree-server:latest

Fluree Labs

Research, benchmarks, and open-source tools for knowledge graphs and AI infrastructure.

From the Lab

Speed vs Features — SPARQL Engine Benchmark

Explore Fluree

Get Started

From zero to production knowledge graph.

Write — Get data in

Read — Query & explore

30 seconds

Zero to graph in one command

Pull the Docker image and start a Fluree server. No JVM, no config files, no external dependencies.

View documentation →

terminal

docker run -p 8090:8090 fluree/fluree-server:latest

# Create a ledger
curl -X POST http://localhost:8090/v1/fluree/create \
  -H "Content-Type: application/json" \
  -d '{ "ledger": "mydb" }'

# Insert your first data
curl -X POST "http://localhost:8090/v1/fluree/insert?ledger=mydb:main" \
  -H "Content-Type: application/json" \
  -d '{
    "@context": { "schema": "http://schema.org/" },
    "@graph": [
      { "@id": "ex:alice", "@type": "schema:Person",
        "schema:name": "Alice", "schema:age": 30 },
      { "@id": "ex:bob", "@type": "schema:Person",
        "schema:name": "Bob", "schema:knows": { "@id": "ex:alice" } }
    ]
  }'

Response

{ "t": 1, "flakes_added": 6, "status": "ok" }

Developer Reference

Method	Endpoint	Description
POST	`/v1/fluree/create`	Create a new ledger
POST	`/v1/fluree/insert`	Insert triples (JSON-LD, Turtle, TriG)
POST	`/v1/fluree/upsert`	Idempotent upsert (replace predicates)
POST	`/v1/fluree/update`	WHERE/DELETE/INSERT pattern
POST	`/v1/fluree/delete`	Delete triples
POST	`/v1/fluree/query`	SPARQL or JSON-LD query

Full API Documentation →

Coming From...

Already using a graph database or data lake? Here is how Fluree fits in.

Apache Jena

Drop-in SPARQL compatibility. Same queries, 50x faster.

✓Full SPARQL 1.1 — your existing queries work unchanged
✓Load Turtle/N-Triples files directly
✓Add time travel, vector search, and branching — all built in

Jena Migration Guide →

Neo4j / Property Graphs

W3C standards, no vendor lock-in. Import via RDF.

✓JSON-LD query syntax feels familiar to Cypher users
✓Export Neo4j as RDF, load into Fluree
✓Get SPARQL + temporal queries + immutable audit trail

Property Graph Guide →

Stardog / GraphDB

Faster, with branch/merge, vector search, and Iceberg.

✓0.95s arithmetic mean vs 26s+ for enterprise engines
✓Built-in HNSW vector search — no external service
✓Git-like branching for your data

Enterprise Migration Guide →

Data Lake / Iceberg

Query Parquet tables as native graph sources. No ETL.

✓Map Iceberg tables with one CLI command
✓Federated SPARQL across graph + data lake
✓REST catalog (Polaris) or direct S3 access

Iceberg Integration Docs →

From the Blog

View All Posts →

Mar 30, 2026·Fluree Engineering

SPARQLoscope DBLP Benchmark Results

Fluree's results on the SPARQLoscope DBLP evaluation — 105 SPARQL queries on real-world data, compared against published results for 7 other engines.

BenchmarksSPARQL

Developer Hub

Everything you need to build with semantic data.

Downloads

Get the latest Fluree releases

Documentation

Guides, API reference, and tutorials

GitHub Repos

Source code and open-source projects

Fluree DB

Semantic graph database with immutable ledger

Fluree Tools

Build ontologies, knowledge graphs, and AI integrations — all in your browser.

Ontology Builder

Visually design and export JSON-LD ontologies for your knowledge graph.

Coming soon

Knowledge Graph Builder

Build and explore knowledge graphs interactively with a visual interface.

Coming soon

Chat with Our Codebase

Ask questions about Fluree's codebase and get AI-powered answers grounded in our source code.

Coming soon

Fluree Labs

Making data the foundation of intelligent systems

Semantic Data

Structured, meaningful, interoperable

Data Provenance

Traceable and tamper-evident

Trustworthy AI

Grounded in verifiable facts

Open Source

Transparent and community-driven

“Structured, verifiable, and interoperable data should be the foundation of every AI system.”