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.
![](https://timbr.ai/wp-content/uploads/2023/10/virtualizat-cache-v3.jpg)
The flexible alternative to data integration
- Provides up to date, accurate and granular access to data at the compute layer.
- Simplifies applications’ access to multiple data sources.
- Enables 360° view of data.
- Eliminates cumbersome ETL operations.
- Supports both on-premise and multi-cloud deployment strategies.
- Provides data certainty and trust.
Timbr enables easy and fast consumption of virtualized data
![](https://timbr.ai/wp-content/uploads/2023/07/graph-layer-2.png)
Semantic Modeling
The dynamic semantic model provides unified meaning to deliver a 360° view of virtualized data
![docs-crossed-1 docs-crossed-1](https://timbr.ai/wp-content/uploads/elementor/thumbs/docs-crossed-1-qa7tgqdbc66gz5xgvkn4u9hlkx1r808lf8bxqwm4bi.png)
No Joins SQL
Relationships subsitute JOINs, so SQL queries are simple to code, maintain and share
![](https://timbr.ai/wp-content/uploads/2023/07/atom-1.png)
Graph Exploration
Explore virtualized data as a web
of relationships to discover unique insights
![cerebral-1 cerebral-1](https://timbr.ai/wp-content/uploads/elementor/thumbs/cerebral-1-qa7tgqdbc66gz5xgvkn4u9hlkx1r808lf8bxqwm4a4.png)
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
![](https://timbr.ai/wp-content/uploads/2020/06/apache-sparks-logo@2x-768x400.png)
![](https://timbr.ai/wp-content/uploads/2022/05/Databricks_Logo-1024x538.png)
CONNECT YOUR OWN VIRTUALIZATION SOLUTION
Materialization and cache
When materialization is required, Timbr’s intelligent cache manager enables users to optimize performance.