Graph DataBase Technology
Graph Database provides all functions corresponding to the lifecycle of graph data, such as the conversion functions to convert data into graph data, graph data storage, graph data-based Geodata analysis, knowledge network analysis, graph data open functions, and visualization and operation management.
Converge and commercialize Asia's first Al and Graph Database technologies
Verification functionality of 108 ultra-large volume graph data processing
Powerful built-in commercial reasoning engine functionality
Powerful built-in knowledge extraction and conversion functionality
Guarantee stability according to experience in securing maximum Graph Database references and execution
why do we need graph database technology
Graph Database Technology selects and applies an optimized solution according to the business environment, which depends significantly on data inflow speed and data volume possessed by a company or an organization. Graph Database Technology is the best solution that creates a new market based on graph data. It finds a customer and raises the customer’s economic value by satisfying the customer’s needs and providing optimized services.
Our Graph Database engines
Discover Saltlux Technology's tools that apply Graph Database technology
Graph DB Conversion Engine
This tool generates data corresponding to the knowledge graph, through mapping data sources (DBMS, CSV, RDF,...). It also provides structured data like RDB, through W3C's R2RML language, and RML language (internal data transformation rules). Moreover, the tool can convert and process user data into a virtual data view (Data View). Users can perform data transformation quickly and easily through the graph database conversion tool.
- Supports multiple formats for data conversion
- Enhances and transforms extremely large graph data
- Manages data transformation tools
Graph DB Storing Engine
Graph Database storing engine provides RDF-based graph data storage and Property Graph storage, providing Property Graph storage and analysis through Apache server linkage TinkerPop and Gremlin. Graph data based on RDF is represented as triples, Property Graph is represented as Vertex, Edge and Verte, Edge can carry properties.
- Secure large-scale graph data storing management efficiency and data interoperability
- Distinct analysis based on SPARQL query
- Scalable through large distributed environments
- Access easily through management tools
Graph DB Reasoning EngineGraph Database reasoning engine allows transforming and storing new facts from transformed data through reasoning. In particular, this tool can provide schema axiom and instance axiom for high-low-level reasoning and relational reasoning between concepts in the data model. Main functions:
- Embedded axiom and rule-based reasoning
- Support various knowledge expression languages
- Graph data augmentation and verification
Graph DB Analysis EngineGraph database analysis engine acts as a knowledge finder, including a knowledge graph generator for external information (social media, email, knowledge management systems, etc.). It generates graph index for knowledge network analysis, knowledge network analyzer by user, by unit time and by topic, topic network analyzer for topic analysis of contents distributed on the network, interested topic tendency analyzer by unit time, and knowledge retriever. Main functions:
- Robust built-in graph data analysis
- Large-scale graph data analysis performance
- Extended graph data analysis