data platforms
SAP HANA Data: Simplified and AI-Ready
Timbr unlocks the full value of SAP HANA data by modeling concepts, relationships, and business logic in standard SQL. Timbr transforms HANA’s complex structures into governed, reusable data products, queryable across tools, accessible to all teams, and ready for AI.
Simplify Complex SAP Models
Translate CDS views and normalized HANA schemas into clear, governed concepts aligned to your business.
Reduce Connector Dependency
Avoid multiple costly SAP-provided BI connectors, access SAP HANA through one open, SQL-based connector.
Enable BI and AI Tools
Power BI, Tableau, notebooks, and LLMs all query the same governed SAP models, no duplication, no rework.
Cross-Platform Semantic Layer
Connect SAP HANA data with Snowflake, Databricks, and more into a unified, queryable knowledge graph.
Timbr Solves SAP HANA
Data Teams' Challenges
Working with data from SAP HANNA is often harder than it should be. Timbr addresses the most common pain points:
| Challenge | How Timbr Helps |
|---|---|
| Costly direct access connectors | Reduce dependency on SAP’s connector licenses by exposing data via standard SQL models accessible from any BI tool |
| Opaque, complex SAP schemas | Translate CDS views, ABAP logic, and normalized tables into clear concepts, relationships, and KPIs |
| JOIN complexity & performance bottlenecks | Eliminate complex JOINs with graph-modeled relationships and semantic hierarchies that are queryable as SQL views |
| Inconsistent metrics across tools | Centralize business logic in the Timbr semantic layer and enforce metric consistency across Power BI, Tableau, SAC, and others |
| Hard to integrate SAP with other sources | Timbr connects SAP HANA with Snowflake, Fabric, Databricks, etc. into a unified semantic graph, enabling cross-platform data products |
| Limited AI-readiness | With Timbr’s SQL Knowledge Graph, SAP data becomes usable for LLMs, natural language query, and AI agents |
