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GraphDB

Link your business data in a semantic graph database, power semantic search, and apply real-time reasoning to build insights you can trust.

Graphwise GraphDB is an enterprise-grade semantic graph database that supports RDF and SPARQL—providing a highly scalable foundation to link fragmented business data and power real-time AI insights.

Traditional databases isolate information in rigid silos, requiring complex, manual queries to piece connections together, ultimately preventing GenAI models from seeing the full picture of corporate operations.

Graphwise breaks down these silos by mapping data based on real-world relationships rather than rigid rows and columns. This smart storage engine uses real-time inferencing and semantic search to eliminate AI hallucinations and transform raw data into trusted insights.

Unify data in a graph database with ontologies and linking to a global knowledge

Enterprise RDF engine

Break down data silos, unify data sources and accelerate insight, analytics and market readiness using the only RDF engine audited on the LDBC Social Network Analysis Benchmark.

Smarter search & results

Manage and navigate data visually, create graph results, get more relevant search results and recommendations across data sources.

Semantic data exploration

Understand datasets by exploring connections, context, semantics and relationships across entities and concepts in your graph database.

Why GraphDB?

Unlock the power of AI & LLM with GraphDB

  • Broad LLM compatibility & GraphRAG
  • MCP support for enterprise agentic AI integration
  • Talk to your graph: Use no-code RAG chat in GraphDB Workbench.
  • Precision entity linking for reliable insights
  • NL Query your graph from LangChain.
  • Simplify knowledge graph building.
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Connect the dots across your IT systems

  • Implement a data fabric to gain unified access to your structured data.
  • Use conceptual models to search and recommend documents.
  • Ask natural language questions across multiple data sources.

Build, consume, govern enterprise knowledge graphs with GraphDB

  • Unify data via a shared conceptual model.
  • Avoid misinterpretation via formal semantics.
  • Uncover new relationships with reasoning.
  • Manage data quality and trace provenance.
  • Employ standards to avoid vendor lock-in.
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Streamline data integration

  • Integrate with MongoDB to support joins across structured and semi-structured data.
  • Synchronize changes in the graph database with upstream and downstream systems with Kafka.
  • Access graphs over JDBC or GraphQL.
  • Virtualize or transform SQL-accessible data.

GraphDB business applications

Data management

Consolidate volumes of domain knowledge about companies, electrical networks, products descriptions, scientific publications in a graph database to ensure unlocking siloed information.

Content management

Utilize and repackage your information better to maximize content strategy efforts.

Business process management (BPM) & automation

Gain a holistic view of global business operations across complex systems such as building automation systems, automotive manufacturing, and aerospace.

CRM, PR, compliance

Strengthen media monitoring practices for PR, reputation management, and market research endeavors.

Which GraphDB Edition is right for you?

Start free or call us for custom pricing tailored to your needs

GraphDB Free GraphDB Enterprise
Fully compliant with RDF 1.1 and SPARQL 1.1, with RDF-Star and SPARQL-Star extensions yes yes
Fully compliant reasoning for the standard rulesets RDFS, OWL 2 RL and QL yes yes
Custom reasoning and consistency checking rulesets yes yes
100% compatible with the RDF4J framework yes yes
Custom reasoning and consistency checking rulesets yes yes
GraphDB Free GraphDB Enterprise
Highly performant simultaneous load, query and inference yes
Parallelized processing of concurrent queries and inference. yes
Ultra fast forward-chaining reasoning with efficient retraction of inferred statements upon update yes yes
GraphDB Free GraphDB Enterprise
Plugin API for engine extensions yes yes
Many plugins providing additional functionality such as geo-spatial indexing, GeoSPARQL, RDF rank, etc. yes yes
MongoDB connector yes yes
Lucene connector for full-text search yes yes
Elasticsearch connector for full-text search yes
Solr connector for full-text search yes
Kafka connector for downstream synchronization yes
GraphDB Free GraphDB Enterprise
Automatic failover, synchronization and load balancing to maximize node utilization yes
Scaling out concurrent query processing, allowing query throughput to scale proportionally to the number of cluster nodes yes
Cluster elasticity remaining fully functional in the event of failing nodes yes
GraphDB Free GraphDB Enterprise
Workbench interface to manage repositories, data, user accounts and access roles yes yes
Community support yes yes
Commercial SLA (optional) yes
  • GraphDB Free comes with a single-core license.
  • GraphDB EE can be licensed for twelve or more cores according to needs and is available on-premise from Graphwise and its partners.
  • The GraphDB Enterprise Edition 12-core cluster is also available as a software as a service (SaaS) on AWS Marketplace and Microsoft Azure Marketplace.

Explore our Success Stories

Expanding Editorial Output for the FIFA World Cup, Delivering 800+ Pages in Weeks
Success Story

Expanding Editorial Output for the FIFA World Cup, Delivering 800+ Pages in Weeks

The BBC used semantic technology to To power its 2010 FIFA World Cup website to cut editorial costs and improve user experience.

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Enhancing Public Access and Legislative Transparency
Success Story

Enhancing Public Access and Legislative Transparency

The UK Parliament leveraged GraphDB to modernize its legislative and open data platform, enabling clearer public information & easier access.

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Building a Collaborative Knowledge Hub for AI-Powered Predictive Intelligence
Success Story

Building a Collaborative Knowledge Hub for AI-Powered Predictive Intelligence

Sensing Clues implemented Graphwise’s Knowledge Management Suite to build vast organizational knowledge models.

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Accelerating Cancer Research with AI-Powered Target Discovery
Success Story

Accelerating Cancer Research with AI-Powered Target Discovery

Using GraphDB & LLDI, a Queen’s University research lab accelerated cancer research streamlining candidate validation from months to days.

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