The Timbr SQL Knowledge Graph platform
Learn how Timbr easily turns your databases into reasoning machines
About the platform
The Timbr SQL Knowledge Graph platform bridges the gap between SQL-fluent databases and the modern, relationship-rich and smart knowledge graphs.
The platform installs on top of existing databases to enable creation of virtual knowledge graphs mapped to the underlying data and provides seamless connectivity to the popular BI and data science tools in use by organizations.
Timbr enables you to:
- Create and explore virtual SQL ontologies
- Map your SQL ontologies to your databases and external data sources
- Query your knowledge graph in SQL, Apache Spark, Python, R, Java or Scala
- Visualize and traverse your databases as a graph
- Use graph algorithms over relational data to solve complex problems
- Connect your BI and DS tools or create charts/dashboards with Timbr’s BI
Platform Modules
The SQL Knowledge Graph platform includes all the components required to create, maintain, connect and deliver the benefits of the knowledge graph
Timbr Studio
Knowledge Graph creation by modeling the ontology and mapping its concepts to the underlying databases. Learn more >
SQL Knowledge Graph
The Knowledge Engine includes the modules required to run, manage and explore the knowledge graph.
Timbr Analytics modules deliver the product and benefits of the knowledge graph. Learn more >
Knowledge Graph Superpowers for the SQL Ecosystem
Abstractions
Model of the business, independent from the data layer, using formal logic and common terms to describe the business in a way that both humans and machines can understand
Relationships
Data represented as hierarchically organized, relationship-rich concepts for powerful modeling, visualization and understanding of complex business ecosystems
Reasoning
SQL implementation of the Semantic Web applying ontologies of concepts and an inference engine to automatically generate new knowledge based on a set of rules on the data
Discovery
Visualize and explore concepts and the underlying datatabase as a graph to gain insights and refine searches. Traverse the graph to identify relationships, dependencies and inconsistencies on the data
Semantic Web Inference and Relationships in SQL
Semantic Web in SQL
Timbr employs standard SQL to implement the Semantic Web principles, enabling ontology modeling of data as connected, context-enriched concepts with inference and graph traversal capabilities.
Inference for Relational DBs
Timbr delivers inference by means of automatic procedures that generate new relationships based on the data and based on additional information in the form of a set of rules. New relationships may be explicitly added to the set of data or returned at query time.
The SQL Knowledge Graph Ecosystem
Seamless Integration
The SQL Knowledge Graph delivers seamless ODBC and JDBC integration with the SQL ecosystem, eliminating the need to move and transform data.
Boost Existing IT
Enterprise IT is relational and big data is relational. With Timbr, your organization can boost the existing IT infrastructure and benefit from the latest cloud technologies without the need for new investments.
Leverage Employee Skills
Any SQL-fluent data professional can learn and deliver results with Timbr. No need to retrain IT personnel and no need to learn new programming languages.
Learn how Timbr works
Using your SQL KG:
