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