GraphDB

GraphDB is an RDF and SPARQL semantic graph database used for storage and inferencing in the Graphwise AI Platform. It supports SPARQL 1.1, RDF4J compatibility, RDFS and OWL 2 RL and QL rulesets, federated queries, and RDF-star. Its reasoning engine performs real-time forward-chaining across datasets, and the product page describes native GraphRAG and LangChain integration. GraphDB can run as a desktop or standalone server, be self-hosted, or be deployed on AWS and Azure. Downloads are listed for Windows, macOS, Linux, and a platform-independent distribution. GraphDB Free includes a Lucene connector, one parallel query, and up to five repositories; GraphDB 11 and later requires a free license. Enterprise adds multiple cores, unlimited repositories, high-availability clustering, and connectors for Elasticsearch, OpenSearch, Solr, and Kafka. Enterprise licensing is per server CPU core, with each cluster node licensed separately. Free includes community support; Enterprise includes SLA support. The product documents access controls, several authentication options, encryption in transit, and security auditing. Enterprise pricing is available on request.

GraphDB offers standards-based graph storage and reasoning, with a limited free edition and a separately licensed Enterprise tier. Compare the Free limits with the Enterprise licensing and support model for your deployment needs.

GraphDB may suit teams building semantic data applications that need RDF storage, SPARQL querying, or reasoning. Its Free edition is on-premise only and has repository and parallel-query limits; Enterprise is aimed at larger deployments.

GraphDB is a semantic database for teams that store RDF data and query it with SPARQL. It best suits organizations that need inference and a route from evaluation to enterprise deployment. The main trade-off is a capable standards-based platform whose free edition is tightly capped and whose Enterprise licensing is priced on request.

Overview

GraphDB combines graph storage with real-time forward-chaining reasoning across datasets. It is used for storage and inferencing in the Graphwise AI Platform, and its maker positions it for mission-critical deployments and enterprise AI applications. That makes it a stronger fit for structured semantic-data work than for teams seeking an unrestricted free database for shared workloads.

It supports SPARQL 1.1, RDF4J compatibility, federated queries and RDF-star, alongside rulesets for RDFS and OWL 2 RL and QL. Its supported formats include Turtle, TriG, N3, N-Triples, N-Quads, JSON-LD, RDF/XML, TriX and BinaryRDF, as well as star variants and additional formats. The breadth is useful when a deployment depends on established RDF standards and varied data inputs.

Compare GraphDB with other RDF Databases and Graph Databases to see whether its semantic focus and edition split match your workload.

Key features

Reasoning and AI workflows

Forward-chaining reasoning operates across datasets in real time, which suits applications that need conclusions derived from graph data rather than storage and querying alone. The product also describes native GraphRAG and LangChain integration, giving AI-oriented teams a path to connect graph data with those workflows. Teams that do not need inference or these integrations may find less reason to choose a specialized semantic database.

Connectors and security

Free includes a Lucene connector. Enterprise adds connectors for Elasticsearch, OpenSearch, Solr and Kafka, which is the more relevant edition when those integrations are part of a production architecture. GraphDB documents 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 address common identity and transport-security needs, though the feature set alone does not establish suitability for any particular compliance requirement.

Deployment and capacity

GraphDB can run as desktop software or a standalone server, and is also available on AWS and Azure. Free is on-premise only, with one parallel query and five repositories; that is a meaningful ceiling for concurrent use or multiple projects. Enterprise supports multiple cores and unlimited repositories, and offers a high-availability cluster. Its per-server-core license and separate licensing for every cluster node matter when estimating the cost of scaling out.

Pricing

Free avoids a subscription price but gives up parallel query capacity, repository scale, cloud deployment and SLA support. Enterprise removes the stated query and repository caps and adds operational options, but its core- and node-based licensing makes cluster size a direct cost consideration.

Platforms

GraphDB supports API, Linux, macOS, self-hosted, web and Windows environments. Downloads include Windows MSI, macOS Apple Silicon and Intel DMG, Linux RPM and DEB, and a platform-independent distribution. Deployment options also include AWS and Azure; the Free plan itself remains on-premise only.

Who it's for

GraphDB is a strong candidate for teams working with RDF and SPARQL that need rule-based inference, federated queries or RDF-star, particularly when enterprise deployment and support are priorities. Free can serve evaluation or contained on-premise use, provided one parallel query and five repositories are enough. Teams that need multiple cores, unlimited repositories, high availability or SLA support should assess Enterprise licensing. It is a less natural fit for buyers who require a generous free tier or a known Enterprise price before contacting sales.

Pros and cons

Pros

• Broad RDF standards and format support, including SPARQL 1.1, federated queries and RDF-star, suits standards-led semantic data projects.
• Real-time reasoning and documented GraphRAG and LangChain integration support inference-oriented and AI workflows.
• Enterprise provides multiple cores, unlimited repositories, high-availability clustering and SLA support for larger deployments.
• Documented authentication, access controls, encryption in transit and auditing give administrators several security mechanisms.

Cons

• Free permits only one parallel query and five repositories, limiting its usefulness for concurrent or multi-project workloads.
• Free is on-premise only and has community support, so it does not provide the cloud deployment or SLA support of Enterprise.
• Enterprise pricing is custom, and per-core licensing with separate licenses for each cluster node can make scaling costs harder to anticipate.

Alternatives

BrightstarDB is a free alternative for readers comparing graph software across Android, iOS and other listed platforms.

Fluree DB offers a free open-source plan with native JSON-LD and SPARQL that can run locally or self-hosted, making it worth considering when those characteristics are the priority.

RedStore is a free, GPL-3.0-or-later self-hosted option for readers seeking that licensing and deployment model.

Tentris has a free Community plan with a single-core license, in-memory storage, transactions, SPARQL 1.1 and RDF 1.1 support; consider it when those plan characteristics suit the workload.

Apache Jena Fuseki is a free Apache License 2.0 self-hosted server alternative.

Apache Rya is a free open-source project distributed as source and a Maven artifact.

Dydra offers free basic use with limited resources; public evaluation accounts are capped at five queries per second and one million statements per repository.

Eclipse RDF4J is a free, open-source Java framework; its latest release requires Java 25 or newer.

Verdict

Choose GraphDB if your work depends on RDF and SPARQL standards, inference and a credible path to enterprise capacity and support. Its strongest advantage is the combination of broad semantic-data capabilities and an Enterprise tier with multiple cores, unlimited repositories and high availability. Look elsewhere if you need a free plan without strict concurrency and repository limits, or if you need an Enterprise price that can be assessed without a sales inquiry.