GraphDB

GraphDB is a semantic database for teams working with linked data and inference. It suits organizations building standards-based data systems or enterprise AI applications; its free edition is useful for evaluation, but strict capacity limits make Enterprise the more viable fit for larger shared workloads.

Overview

GraphDB stores RDF data and uses reasoning to derive new relationships across datasets in real time. Its support for SPARQL 1.1, RDF4J compatibility, federated queries and RDF-star makes it a strong fit for projects built around semantic-web standards. That breadth may be more than a basic graph-storage project needs.

It can run as a desktop application or standalone server, with AWS and Azure options and hybrid deployment. GraphDB is part of the Graphwise AI Platform, and its maker positions it for mission-critical deployments and enterprise AI applications.

Compare it with other tools in RDF Databases and Graph Databases.

Key features

Standards and reasoning

GraphDB supports full SPARQL 1.1 and rulesets for RDFS and OWL 2 RL and QL. Its real-time forward-chaining reasoning can draw conclusions across datasets as they are processed, which is useful when applications depend on inferred relationships rather than stored triples alone. It also supports federated queries and RDF-star.

Supported RDF formats include Turtle, Turtle-star, TriG, TriG-star, N3, N-Triples, N-Quads, JSON-LD, NDJSON-LD, RDF/JSON, RDF/XML, TriX and BinaryRDF. This range helps accommodate varied RDF data workflows without narrowing the choice to one serialization.

AI integration, connectors and security

The product describes native GraphRAG and LangChain integration for AI workflows. Free includes a Lucene connector; Enterprise adds Elasticsearch, OpenSearch, Solr and Kafka connectors, making the paid edition more suitable when a deployment needs those integrations.

Security capabilities include role and access controls, local, LDAP and OAuth user databases, Basic, GDB, OpenID and Kerberos authentication, SSL/TLS encryption in transit, and security auditing. These controls make GraphDB relevant to managed environments, though the free edition's small query and repository allowances remain a separate constraint.

Pricing

GraphDB Free

free, billed Free to use. GraphDB 11+ requires a free license. The plan includes the Lucene connector, one parallel query, five repositories, on-premise deployment and community support. It is a practical way to evaluate the database or support a small, single-user workload, but one concurrent query and five repositories are restrictive for teams sharing a production system.

GraphDB Enterprise

Custom pricing; licensing is offered per server CPU core, and each cluster node must be licensed separately. Enterprise includes multiple cores, unlimited repositories, Elasticsearch, OpenSearch, Solr and Kafka connectors, a high-availability cluster and SLA support. It is the more appropriate edition for larger or availability-sensitive deployments, but per-core and per-node licensing can make clustered capacity a significant purchasing consideration.

Platforms

GraphDB supports API, Linux, macOS, web and Windows environments, as well as self-hosted and hybrid deployment. Download options include Windows MSI, macOS packages for Apple Silicon and Intel, Linux RPM and DEB packages, and a platform-independent distribution. It can also run on AWS and Azure. Free is on-premise only, so cloud deployment belongs to a different deployment choice.

Who it's for

GraphDB is best suited to data teams that need RDF storage, standards-based querying and inference, particularly where semantic data feeds AI applications or mission-critical systems. Free fits evaluation and modest on-premise use; Enterprise is aimed at organizations needing more query capacity, unlimited repositories, connectors, high availability or SLA support. It is less compelling for a simple graph-store requirement that does not use its standards and reasoning capabilities.

Pros and cons

Pros

• Broad semantic standards support: SPARQL 1.1, RDF4J compatibility, RDF-star, federated queries and multiple RDF formats suit varied RDF workflows.
• Real-time reasoning: Forward-chaining across datasets supports applications that need derived relationships as data is processed.
• Clear enterprise upgrade path: Enterprise adds multiple cores, unlimited repositories, a high-availability cluster, more connectors and SLA support.
• Flexible deployment: Desktop, standalone server, self-hosted, AWS and Azure options accommodate different operating environments.

Cons

• Free has hard capacity limits: One parallel query and five repositories can constrain shared or growing workloads.
• Free is on-premise only: Cloud deployment requires a different edition or arrangement.
• Enterprise costs scale by infrastructure: Per-core licensing and separate licensing for each cluster node complicate budgeting for expansion.

Alternatives

Eclipse RDF4J is a free Java framework alternative; its latest release requires Java 25 or newer and uses the Eclipse Distribution License 1.0.

Fluree DB offers free open-source and AI plans for readers comparing other RDF-oriented options.

QLever is a free open-source option under the Apache 2.0 license.

RDFox offers a 30-day free evaluation license for non-commercial use, with a commercial license for readers moving beyond evaluation.

Stardog has a free plan with a renewable one-year license, up to 1 million stored edges, three databases, community support and no high availability.

Tentris offers a free single-core community plan with in-memory storage, transactions and SPARQL 1.1 and RDF 1.1 support.

Apache Jena Fuseki is a free, self-hosted server under the Apache License 2.0.

Parliament is a free open-source alternative under the BSD 3-Clause license.

Verdict

Choose GraphDB if your work depends on RDF standards, real-time inference and a path to enterprise deployment with connectors and high availability. Its free edition makes evaluation accessible, but the one-query and five-repository caps are real limits, while Enterprise pricing rises with cores and cluster nodes. Look elsewhere if you need an unrestricted free shared workload or do not need semantic reasoning.