Timbr Semantic Graph Platform

The SQL-native knowledge graph that turns your databases into reasoning machines

What is Timbr

Timbr delivers the powers of knowledge graphs to the SQL data ecosystem with an easy to use no-code UI or with standard SQL statements.

The platform installs on top of existing databases to enable creation of virtual semantic models 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:

Add: (maybe modeling page)

1. Semantic Data Model = Virtual Ontology

– Agile data model
• Integrate data virtually
• Unify naming conventions
• Apply changes on the fly
• Manage business rules

– Intelligent data model
• Inheritance – Hierarchy of business concepts
• Business metrics & definitions in the data model
• Relationships-rich model – Eliminating JOINs and MTM tables

– Intuitive data model (governance and collaboration – data sharing)
• Business terms and description
• Visual graph model exploration
• Explore data model lineage

– Version controlled data model
• Change, delete or update, everything is audited
• Monitor changes
• Roll back when required

– Create aggregate views from the data model (usage/analytics)
• Aggregate and transform the denormalized data model
• Build metrics/KPIs

– Sharable data model
• Import industry data models
• Import OWL data models
• Export into ERD/OWL

– Secured data model
• RBAC: Role based access control
• Default role per Knowledge Graph / Datasource
• Row-level access controls per role/user

Knowledge Graph Superpowers for the SQL Ecosystem

Semantic Representation
of Data


Model and integrate data using common concepts to unify meaning and align business metrics across data products

Semantic Relationships



Define relationships that substitute complex JOIN statements so queries become much simpler and shorter

Hierarchies and Classifications



Organize concepts using hierarchies and classifications that provide better understanding of the data

Logic




Use SQL logic and math operators to filter the mapped data to a concept to facilitate and accelerate consumption

Semantic Reasoning



Define inference rules that add new information to the existing dataset, providing context and valuable insights

Fast and Easy Implementation

Seamless Integration

ODBC and JDBC integration with the SQL ecosystem, eliminating the need to move and transform data.

Leverage your relational infrastructure

Boost existing IT infrastructure and benefit from the latest cloud technologies without the need of 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.

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Model a Timbr SQL Knowledge Graph in just a few minutes and learn how easy it is to explore and query your data with the semantic graph

Model a Timbr SQL Knowledge Graph in just a few minutes and learn how easy it is to explore and query your data with the semantic graph

Graph Exploration

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