Overview

Fluree Core stores RDF triples in a temporal database whose transactions are cryptographically signed and added to an immutable ledger. Teams can query the full history, rather than relying only on current values. That combination is a strong fit when applications need to preserve how data changed and when; it may be more machinery than necessary for projects that only need a basic graph store.

Access policies can use attributes, roles or relationships, and are evaluated at query time down to individual triples. This gives teams precise control within the data model, but requires policy design to be part of application and query planning. Fluree also brings full-text and vector search into the same system as graph data and time-aware queries.

Key features

Standards-based graph querying: Fluree supports SPARQL 1.1, reasoning, RDF-star and federated queries. It accepts JSON-LD, Turtle, N-Triples, N-Quads and TriG, giving RDF-focused teams several established ways to represent and query data.
Integrated history and verification: Signed transactions and queryable temporal history support provenance and investigation of prior states. This is useful when change history is part of the application, not just an operational log.
Granular policies: Attribute-, role- and relationship-based rules apply per triple at query time. The precision is valuable for differentiated access, while adding policy decisions to the system’s design and maintenance.
Broad connection options: Connectors cover relational databases, document stores, business applications, analytics platforms and REST APIs. Interfaces include SPARQL, FlureeQL and REST, with MCP server configuration, LangChain integration, a LlamaIndex connector, and official JavaScript/TypeScript, Python and Java SDKs.
Deployment flexibility: The static binary has no JVM or external dependencies and can be run through Docker, Homebrew, shell installation, PowerShell or source builds. That gives self-hosting teams several routes to deployment without adding a runtime dependency.
Managed security and audit features: Managed deployments use TLS 1.2+ in transit and AES-256 at rest, with customer-managed keys supported through AWS KMS, GCP Cloud KMS and Azure Key Vault. Queries, mutations and policy evaluations are captured in a tamper-evident log; Enterprise plans can integrate Splunk, Datadog and Elastic.

Fluree says its architecture supports SOC 2, ISO 27001, HIPAA under a BAA on Enterprise plans, and GDPR/UK GDPR through EU data residency. SOC 2 Type II attestation is in progress for Q3 2026. These qualifications matter to regulated teams, but HIPAA coverage is tied to Enterprise and the attestation is not yet complete.

Pricing

Fluree lists a free plan and commercial licensing under the Business Source License 1.1; commercial licensing is available by contacting Fluree. The license terms therefore deserve review for teams planning commercial use.

FlureeDB Open Source — free: Open source on GitHub, native JSON-LD and SPARQL, and local or self-hosted use. This is the natural starting point for developers who want to evaluate or run Fluree themselves; it does not include the named managed or enterprise offerings.
Fluree AI — free: $0 to start, with a free fuel allowance covering tokens, storage and compute, plus 300+ connectors, MCP and API access. It provides a no-cost route to AI-oriented use, though the free fuel allowance is a limit to account for as usage grows.
Enterprise — custom pricing: Includes Fluree Sense, CAM and ITM, licensed FlureeDB deployments, single-tenant AWS and private deployment, SSO, SLAs and enterprise support. It is the relevant option for organizations that need these deployment and support commitments, but requires a pricing discussion with Fluree.

Platforms

Fluree supports API, Linux, macOS, Windows, web and self-hosted environments. Its single-binary distribution and installation options give infrastructure teams room to choose between local evaluation and managed or private deployment approaches.

Who it's for

Fluree is best for developers and IT teams building linked-data applications that need queryable history, fine-grained policy enforcement, or graph and search capabilities together. Teams already using RDF standards can take advantage of its SPARQL support and supported RDF formats. It is a less direct fit for buyers seeking a conventional graph database without temporal provenance requirements, or for commercial adopters unwilling to assess the Business Source License and Enterprise terms.

Pros and cons

Pro — history is part of the data model: Signed ledger transactions and temporal queries make prior states accessible without treating history as a separate concern.
Pro — precise access rules: Policies operate at individual-triple granularity and can be based on attributes, roles or relationships.
Pro — flexible integration and deployment: The connector range, multiple developer interfaces, language SDKs and static binary support varied stacks and hosting choices.
Con — commercial licensing needs review: The Business Source License 1.1 and separate commercial licensing may complicate adoption for teams with specific licensing requirements.
Con — Enterprise pricing requires follow-up: Buyers needing SSO, SLAs, private deployment or enterprise support must request custom pricing rather than compare a published price.
Con — the free AI allowance is finite: Tokens, storage and compute draw on free fuel, so ongoing usage may require planning beyond the no-cost start.

Alternatives

For a broader comparison, see RDF Databases.

RDFox is worth considering when a 30-day evaluation-only, non-commercial free license suits a time-limited assessment and commercial licensing can be considered separately.
Tentris offers a free Community plan with a single-core license, in-memory storage, transactions and community support; consider it when those constraints match your workload.
GraphDB may suit teams looking for a free tier with a Lucene connector, up to one parallel query and five repositories, while accounting for its free-license requirement for GraphDB 11+.
QLever is an option for teams seeking free open-source software under the Apache 2.0 license.
Apache Jena Fuseki is a free Apache License 2.0 self-hosted server option.
Stardog may fit projects that can work within its renewable one-year free license, one-million-edge and three-database limits, and community support.
Virtuoso Universal Server is another option, with Personal and Developer plans priced as one-time purchases.
Parliament is a free BSD 3-Clause open-source alternative.

Verdict

Choose Fluree DB if your application needs standards-based graph data with verifiable history, time-aware queries and triple-level access control in one system. Its free options and flexible deployment make evaluation practical, but teams should look elsewhere if licensing simplicity or transparent Enterprise pricing is a priority.

	Fluree DB	Quadstore
Free plan	Yes
Paid from	Free
Platforms	api, Linux, macOS, self-hosted, Web, Windows	api, Linux, self-hosted, Web
Free plan	Yes
SPARQL support	sparql 1.1	sparql 1.1
Reasoning support	Yes
RDF-star support	Yes	No
Federated queries	Yes
Supported RDF formats	JSON-LD, Turtle, N-Triples, N-Quads, TriG	Turtle
Deployment options		self-hosted

Fluree DB vs Quadstore

Fluree DB

Quadstore