# Stardog Stardog is an enterprise knowledge graph-powered semantic AI platform that unifies distributed data and adds ontology-based context for analytics, AI applications, and connected decision-making. It is available for on-premises and cloud enterprise deployments, with a free commercial license for exploration. - Findings24: - ウェブサイト: - 料金: Freemium - カテゴリー: AI知識グラフ ## Stardogとは？ Stardog is an enterprise knowledge graph-powered semantic AI platform that unifies distributed enterprise data and preserves its business context. Its ontology-driven semantic layer defines shared concepts, relationships, and rules so analytics tools, AI models, applications, and agents can work from consistent information. The platform is intended for data management and connected analysis rather than database storage alone. It combines graph data virtualization with a high-performance graph database, allowing organizations to query remote data sources, create federated views, apply inference, and expose unified data through REST APIs or SQL-based business intelligence tools. This approach can connect data where it already lives instead of requiring every source to be moved into a new system. Stardog supports enterprise scenarios such as analytics modernization, data fabrics, data lake acceleration, drug discovery, operational risk, and supply chain analysis. It is available through Stardog Enterprise for on-premises deployments and Stardog Cloud, while Stardog Free provides a no-cost commercial license for project exploration with a more limited feature set. ## Stardogでできること ### Ontology-driven semantic layer Defines business concepts, relationships, and rules in reusable ontologies so models, applications, and agents can use a shared interpretation of enterprise data. ### Graph data virtualization Uses Virtual Graphs to access remote data without moving or copying it. The platform supports major SQL systems and popular NoSQL databases as virtual sources. ### Federated querying and data access Lets teams query across connected sources and make unified data available through REST APIs and a BI/SQL Server for SQL-based business intelligence applications. ### Inference and connected insight Applies an inference engine and expert knowledge at query time to derive relationships and reveal connections that are not explicit in individual source systems. ### Data engineering and quality tools Includes Stardog Studio, an in-browser integrated development environment, along with embedded machine learning, an NLP pipeline, and data quality management tools. ### Enterprise deployment and support options Provides Stardog Enterprise for on-premises or cloud deployment, with enterprise options including high availability, caching, backups, LDAP integration, broader Connector access, and support services. ## 利用シーン ### Analytics modernization Analytics teams can connect siloed systems and definitions, follow relationships from trends to their causes, and investigate questions without requesting a new data pipeline for every analysis. ### Data fabric and lake acceleration Data teams can create a semantic fabric across SQL, NoSQL, and unstructured sources, then use relationships, provenance, and shared meaning to identify relevant datasets and work with data lakes or warehouses more effectively. ### Drug discovery and life sciences research Researchers can connect experiments, pathways, targets, compounds, and clinical evidence across differently formatted datasets. The Boehringer Ingelheim example shows how an enterprise knowledge graph can provide bioinformaticians and analysts access to institutional knowledge. ### Operational risk analysis Risk teams can model dependencies among events, controls, policies, systems, vendors, and people, making it easier to trace the reach of an incident and prioritize investigation across business units. ### Supply chain visibility Operations teams can connect suppliers, logistics, production, and quality data to examine the impact of changes, identify bottlenecks, and model possible effects across the supply network. ## よくある質問 ### Is Stardog a standalone graph database? No. Stardog includes an RDF database, but the company does not offer it as a separate database-only product. The platform is designed for data management and adds virtualization, inference, embedded machine learning, and Connectors around graph storage. ### Where can Stardog be deployed? Stardog Enterprise is available for on-premises deployment and in the cloud. Stardog Cloud is the managed service offering, and the company states that uptime guarantees are available only as part of that managed service. ### What is included with Stardog Free? Stardog Free is available at no cost as a renewable one-year license and may be used commercially. It does not include high availability, caching, backups, LDAP integration, or the full breadth of Connectors, and it does not include paid support packages. Support for the free license is available through the community. ### How can teams access unified data? Stardog can provide access through REST APIs and through its BI/SQL Server for SQL-based business intelligence applications. Virtual Graphs allow remote access to supported upstream data sources, while federated queries can work across connected data. ### What support is available for enterprise customers? Each Enterprise license includes Base Support, access to a Customer Portal, a dedicated Customer Success representative, and access to Solutions Architects. Additional support tiers, strategic consulting, technical services, and training are also offered. ## クイック情報 - **Product category**: Enterprise knowledge graph and semantic AI platform - **Primary users**: Data engineers, data scientists, analysts, researchers, and enterprise risk or operations teams - **Deployment**: On-premises Enterprise and Stardog Cloud - **Data access**: Virtual Graphs, federated queries, REST API, and BI/SQL Server - **Free option**: Stardog Free; renewable one-year commercial license - **Source domain**: stardog.com