Virtualization Engine

Query data across sources at scale

Timbr’s 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


The model's relationships take care of joins and unions so SQL queries are simple to use, maintain and share

Graph Exploration


Explore data as a web of relationships to discover unique insights

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Decoupling


Data model is decoupled from the physical model to dynamically adapt according to consumption needs

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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In the meantime, we invite you to watch demo and presentation videos of Timbr in our Youtube channel:

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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