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Fluree vs Stardog
Both are RDF knowledge graphs that speak SPARQL, so the choice comes down to the job. Choose Stardog to query live sources in place behind a semantic layer. Choose Fluree when you need to govern each fact and prove what the data looked like at a past moment.
Fluree is our product. This page compares the current releases, Stardog 12.2.1 and FlureeDB v4.2.4, and says where Stardog is the better choice. No head-to-head benchmark of the two exists.
Every Stardog claim on this page is sourced and was last verified October 2026.
Which should you choose?
Neither tool is better at everything — they're built for different jobs. The honest routing, up front.
Choose Stardog when…
- You need live virtual graphs over many operational sources, with Stardog’s connectors
- Your ontology depends on OWL 2 EL
- You want mature visual modeling and exploration tools in the product
- BI tools need to connect to the graph over a SQL protocol
- You want a packaged natural-language front end in Voicebox
Choose Fluree when…
- You need to query the graph as it stood at a past transaction or time
- Different users and agents should see different facts from the same query
- You want to branch, diff, and merge data and ontologies
- You need to run the database free in production, from source-available code
- You want SPARQL, openCypher, GraphQL, and JSON-LD query over one store
Fluree vs Stardog, capability by capability
Short explanations rather than checkmarks, with the source for each Stardog claim linked in the sections below.
Short explanations rather than checkmarks — both products evolve quickly. Verified October 2026.
Where Fluree goes further than Stardog
Three differences come from how the engine is built. Each one matters only if your project needs it.
History you can query
Every FlureeDB commit is immutable, so a query can name a past transaction or time. We found no time-travel query in Stardog’s current docs; its checkpoints and point-in-time restore are for recovery. If you only need the current answer, this difference won’t matter to you.
Policy on each fact
Fluree evaluates policy inside the query engine, so two people can run the same query and get different results. Stardog’s named graph security is disabled by default and works per graph, with property-based protection alongside it.
More ways in, on one store
SPARQL, openCypher, GraphQL, and JSON-LD query run on one engine, and the code is on GitHub. Teams with Cypher skills can start with what they know.
Where Stardog wins, and where Fluree falls short
A comparison you can trust has to say this part out loud.
Live virtualization is Stardog’s clearest strength. Virtual graphs are a core feature, and release 12.2 added SingleStore sources and Purview v2. Fluree reaches SQL databases through a Trino or Presto endpoint or a small bridge, not direct JDBC. Stardog also supports OWL 2 EL, which Fluree does not, and ships mature tools in Designer, Explorer, and Studio. FlureeDB has no equivalent visual ontology editor.
Fluree has limits of its own. Its MCP endpoint is open by default until you turn on tokens, exposes two read-only tools, and its data-model tool isn’t filtered by policy. Fluree runs the W3C SPARQL suites in CI, and known gaps sit in a public skip register: 11 tests in the core SPARQL 1.1 query categories, and more for entailment, federation, and the protocol suites. Check that register if strict conformance decides your project.
Check Stardog’s free terms before you build on them. Its pricing page says Stardog Free has no commercial limitations, while its license agreement limits use to evaluation. Ask Stardog which applies. For the wider market, see our comparison of Neo4j, GraphDB, Stardog, Neptune, and Fluree.
What migrating from Stardog involves
The data moves easily because both sides use RDF. Security is the part you rebuild.
Step 1
Export your data as RDF
Export from Stardog as Turtle, create a ledger, and load the file. The migration guide covers the steps.
Step 2
Keep your SPARQL, then test it
Standard SPARQL carries over. Stardog-specific extensions, such as its edge property syntax and path queries, need review.
Step 3
Remap your reasoning
RDFS, OWL 2 QL and RL, and Datalog have direct targets. Anything relying on OWL 2 EL needs remodeling.
Step 4
Rewrite your security
Named graph and property rules become policies stored as data. This doesn’t port mechanically, so plan for it.
Frequently asked questions
The questions buyers actually ask in this evaluation.
Compare
See every Fluree comparison in one place.
Toplists, head-to-head guides, and alternatives — all linked from the comparison hub.
Put your knowledge to work.
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