USE CASE
From Complex Infrastructure to Easy Data Consumption
Timbr transforms complex, hybrid, and multi-cloud architectures into a unified semantic layer that makes data easy to consume.
Model once, and deliver consistent, governed access to metrics and concepts across all platforms, so business users, analysts, and AI can query and explore distributed data using familiar, SQL-based semantics.
BEHIND THE USE CASE
Timbr enables the Semantic Data Fabric aimed to connect diverse, distributed data sources by means of a virtual, unified semantic data model mapped to federated data, without the need for data duplication or complex ETL (Extract, Transform, Load) processes.
REFERENCE ARCHITECTURES
Timbr embedds semantic intelligence into leading architectures including, Microsoft Fabric, Google Cloud, AWS Cloud and Snowflake.
Key Capabilities
- Logical Models: Logical models span clouds and on-prem systems.
- Relationships and Metrics: Relationships and metrics are defined once and reused everywhere.
- Data Placement: Data stays where it is—no replication required.
- Query Data: Query data without knowing its physical location.
- Avoid Data Movement: Avoid complex data movement or consolidation.
- Maintain Performance: Maintain performance with pushdown optimization and intelligent joins.
- Centralized Metric Logic: Centralized metric logic with cross-cloud visibility.
- Business Team Access: Business teams consume metrics via BI tools, SQL, or APIs.
- Catalog Integration: Integrates with native catalogs like Unity Catalog and Purview.
