Data Virtualization

Query data across sources at scale

Timbr’s data virtualization engine joins multiple data sources at scale, so users can conveniently consume distributed/siloed data represented as a single semantic graph that can be queried with short and simple SQL queries.

The flexible alternative to data integration

Timbr enables easy and fast consumption of virtualized data

Semantic Modeling


The dynamic semantic model provides unified meaning to deliver a 360° view of virtualized data

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No Joins SQL


Relationships subsitute JOINs, so SQL queries are simple to code, maintain and share

Graph Exploration


Explore virtualized data as a web of relationships to discover unique insights

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Decoupling


Benefit from decoupling of data model from the physical model to reduce maintenance efforts

Runs natively on Spark or Databricks, or on top of a readily available solution

CONNECT YOUR OWN VIRTUALIZATION SOLUTION

Materialization and cache

When materialization is required, Timbr’s intelligent cache manager enables users to optimize performance.

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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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