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Timbr

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About

Timbr is a semantic layer that empowers data teams to build a SQL Knowledge Graph on top of any data source, enhancing data with meaning, relationships, and metrics. It provides data virtualization, enabling integration of disparate data sources for streamlined analytics and faster delivery of data products and enterprise applications. Timbr features an ontology modeler, data mapper, SQL lab, BI connectors, and a unique REST API. Use cases include data fabric, data mesh, and semantic data lake implementations. Connect to various databases, data lakes, and BI tools, accelerating insights and reducing SQL query complexity. It offers a fast, easy, and no-risk implementation.

Platform
Web
Keywords
knowledge graphsqlsemantic layerdata virtualizationontology modeling
Task
data modeling

Features

data virtualization

semantic layer

data fabric

graph exploration

semantic data lake

data mesh

databricks semantic model

metric store

FAQs

What is Timbr Intelligent Semantic Layer?

Timbr is the intelligent ontology-based semantic layer to integrate, model and deliver data products. It enables integration of data sources directly or via a powerful virtualization engine by connecting them to a semantic data model powered with relationships.

What makes a semantic layer the optimal choice for data modeling?

A semantic layer of choice features unique capabilities.The semantic layer is a cornerstone of efficient data management and utilization. It transforms raw data into a meaningful and business-friendly format.

How long does it take to build a Timbr Semantic Layer?

Timbr offers a fast, easy and no-risk implementation of the semantic layer. The main reasons are that there’s no need to move data or learn any proprietary query language.

What is conceptual modeling?

Conceptual modeling is a representation of the real world. It is the first step of data modeling, a method developed to help with the design of databases and defining a formal vocabulary for the organization.

What are SQL ontologies?

SQL ontologies are virtual ontologies built and queriable in SQL designed for mapping underlying data sources to provide common business meaning to data. SQL ontologies are exposed as virtual schemas with virtual tables (concepts) using any SQL client with JDBC/ODBC.

What is Data Graph Exploration?

Data Graph Exploration is a unique feature of Timbr that automatically transforms non-graph data into a virtual graph to allow users to visualize and explore data relationships as a network.

What is semantic SQL?

Semantic SQL is SQL powered by explicit relationships to avoid use of Joins and Unionstatements. The semantic SQL queries are formulated in standard SQL and query the semantic business model (ontology) mapped to the data, instead of querying the data directly.

What is a SQL Knowledge Graph?

A SQL Knowledge Graph is an alternative name of the Timbr Intelligent Semantic Layer. The SQL Knowledge Graph implements the semantic web ontologies in standard SQL.

How do you create a SQL Knowledge Graph?

Creating a SQL Knowledge Graph is a simple process:Connect your databases to the virtual layer using JDBC connectors.Model the SQL ontology visually or using Timbr SQL DDL statements, or import from other sources.

Do I need to be an expert to create a SQL knowledge graph?

No, you just need a database, Timbr will guide you through the rest of the simple process.

What are SQL Knowledge Graphs used for?

The SQL Knowledge Graph serves as a virtual graph for all the enterprise data engines to simplify SQL queries, implement graph traversals in SQL and manage the enterprise data conveniently to deliver advanced analytics conveniently and with minimal effort.

What does Timbr stand for?

Timbr is named after Tim Berners Lee who, together with Timbr.ai’s advisor Jim Hendler, pioneered the Semantic Web.

How is Timbr different from a graph database?

Timbr is not a database. Timbr is a platform used for creating virtual SQL Knowledge Graphs that enable semantic (ontology-based) graph capabilities on existing data engines (data warehouses and data lakes).

I’m currently using a property graph; can I upgrade it to a SQL knowledge graph?

No, it is not possible. Property graphs use proprietary query languages lacking in semantics (unlike Knowledge Graphs which are based on RDF, SPARQL and OWL).

How do you explore relationships in relational databases?

Exploring relationships is done by using Timbr’s Graph Data Exploration module.

Pricing Plans

Startup
$149.00 / per month, billed yearly

Semantic Modeler*

Data Mapper*

SQL Lab*

BI Connectors*

Graph Explorer*

Swagger OpenAPI*

Cache Engine*

Excel MDX Endpoint*

Data Lineage*

Performance Dashb.*

Teams
$499.00 / per month, billed yearly

Semantic Modeler*

Data Mapper*

SQL Lab*

BI Connectors*

Graph Explorer*

Swagger OpenAPI*

Cache Engine*

Excel MDX Endpoint*

Data Lineage*

Performance Dashb.*

Business
$999.00 / per month, billed yearly

Semantic Modeler*

Data Mapper*

SQL Lab*

BI Connectors*

Graph Explorer*

Swagger OpenAPI*

Cache Engine*

Excel MDX Endpoint*

Data Lineage*

Performance Dashb.*

Enterprise
Unknown Price

Semantic Modeler*

Data Mapper*

SQL Lab*

BI Connectors*

Graph Explorer*

Swagger OpenAPI*

Cache Engine*

Excel MDX Endpoint*

Data Lineage*

Performance Dashb.*

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