Timbr is the Intelligent Semantic Layer based on knowledge graph technology made for data practitioners that wish to work smarter and deliver faster. Timbr democratizes data use by providing unified meaning, metrics, relationships, and virtualization. Shorten time to value with no-JOINS SQL queries, without the need to learn new skills.
Analysts use Timbr to answer complex questions directly from their BI tools. Data scientists easily discover and query big data to deliver recommendations or unique insights from the data.
Timbr works directly on relational databases, data lakes, and data warehouses without the need to move or transform data.
Timbr is available today for cloud and on-premises deployment.

For more information, contact us at: [email protected]
Or visit us at the website - https://www.timbr.ai

Exporting from Timbr to Power BI
5:02
Exporting from Timbr to Power BI
Ontology Explorer: Creating Sub-Concepts #3 (Concepts from Properties)
3:29
Ontology Explorer: Creating Sub-Concepts #3 (Concepts from Properties)
Using Timbr MDX Endpoint in Microsoft Excel
4:22
Using Timbr MDX Endpoint in Microsoft Excel
Using Timbr NLQ Excel Add-in
2:01
Using Timbr NLQ Excel Add-in
Scheduled Jobs: General Overview
5:56
Scheduled Jobs: General Overview
Graph Explorer: Starting an Exploration
6:27
Graph Explorer: Starting an Exploration
Ontology Explorer: Creating Calculated Properties
3:31
Ontology Explorer: Creating Calculated Properties
Ontology Explorer: Automated Modeling from Databases
7:21
Ontology Explorer: Automated Modeling from Databases
Ontology Explorer: Functionality & Exploration
5:38
Ontology Explorer: Functionality & Exploration
Getting Started: Creating a Knowledge Graph and Connecting to a Datasource
4:34
Getting Started: Creating a Knowledge Graph and Connecting to a Datasource
Ontology Explorer: General Overview
5:40
Ontology Explorer: General Overview
Transforming ERD Drawings into Intelligent Semantic Models with ChatGPT
1:54
Transforming ERD Drawings into Intelligent Semantic Models with ChatGPT
From Integration to Insight in Under 10 Minutes
9:07
From Integration to Insight in Under 10 Minutes
Caching Data: Mappings & Views
5:40
Caching Data: Mappings & Views
Ontology Explorer: Automated Relationships
3:27
Ontology Explorer: Automated Relationships
Creating a Databricks Semantic Lakehouse
5:50
Creating a Databricks Semantic Lakehouse
Connecting Timbr to Databricks
4:50
Connecting Timbr to Databricks
Access Manager #3: Roles & Policies
10:44
Access Manager #3: Roles & Policies
Access Manager #2: Users
3:29
Access Manager #2: Users
Access Manager #1: General Overview
5:36
Access Manager #1: General Overview
Timbr’s Swagger (REST API)
3:22
Timbr’s Swagger (REST API)
Ontology Explorer: Creating Sub-Concepts #2 (bottom-up modeling)
6:18
Ontology Explorer: Creating Sub-Concepts #2 (bottom-up modeling)
Ontology Explorer: Creating Sub-Concepts #1 (top-down modeling)
5:21
Ontology Explorer: Creating Sub-Concepts #1 (top-down modeling)
Timbr Unleashes the Power of Intelligent Data
1:15
Timbr Unleashes the Power of Intelligent Data
Row Level Security: Creating a Security Policy using SQL
5:09
Row Level Security: Creating a Security Policy using SQL
Timbr's Data Virtualization
6:37
Timbr's Data Virtualization
Timbr Semantic Graph Platform in 160 secs
2:40
Timbr Semantic Graph Platform in 160 secs
Ontology Explorer: Creating & Mapping a Multi-Value Property
3:39
Ontology Explorer: Creating & Mapping a Multi-Value Property
Ontology Explorer: Creating Many-to-Many Transitive Relationships
7:54
Ontology Explorer: Creating Many-to-Many Transitive Relationships
Ontology Modeler OV
2:31
Ontology Modeler OV