Sesame Database Manager
Sesame Database Manager is an open source database management system that supports RDF and other semantic web formats. It provides tools for storing, querying and analyzing semantic data models.
open-source
database
semantic-web
rdf
Sesame Database Manager: Open Source Semantic Web Database
A free database management system supporting RDF and other semantic web formats for storing, querying and analyzing semantic data models
What is Sesame Database Manager?
Sesame Database Manager is an open source Java framework for storing, querying and analyzing RDF data. It supports all major RDF serialization formats including RDF/XML, N-Triples, Turtle, N3 and JSON-LD. Some key features of Sesame include:
- Storage and inference layer with support for various storage backends like in-memory, native stores, SQL databases, etc.
- Modular architecture that allows extending it via plugins
- SPARQL 1.1 support for querying and updating RDF data
- Protocol support for remote querying and graph store HTTP protocol
- Java and RESTful APIs for integration into applications
- Reasoning and entailment regimes for RDF Schema and OWL inference
- Support for creating federated queries across multiple SPARQL endpoints
Sesame is used to build semantic web applications and linked data systems in domains like government, libraries, healthcare, media and entertainment. It is very scalable and can manage billions of RDF statements.
Sesame Database Manager Features
Features
- Support for RDF and other semantic web formats
- Tools for storing, querying, and analyzing semantic data models
- Open source database management system
- Graphical user interface for managing databases
- Supports SPARQL queries
- Provides import and export functionality for data
- Allows for collaborative work on semantic data
Pricing
- Open Source
Pros
Open source and free to use
Specialized for semantic web data formats
Offers a comprehensive set of tools for managing semantic data
Supports collaborative work on semantic data
Cons
May have a steeper learning curve compared to traditional database management tools
Limited community and ecosystem compared to some commercial database solutions
May not offer the same level of performance and scalability as enterprise-grade database systems
Official Links
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