data platforms
ClickHouse Data: Governed, Reusable, and AI-Ready
Timbr unlocks the full value of ClickHouse data by modeling business concepts, metrics, and relationships in standard SQL. Timbr’s ontology-based semantic layer transforms ClickHouse’s high-speed analytical tables into governed, reusable data products that remain real-time, queryable across BI tools, accessible to all teams, and ready for AI agents.
Model Business Metrics Once
Define cubes, measures, and KPIs once in the semantic layer. Every BI tool, notebook, and AI agent queries the same governed definitions with no duplication and no drift.
Eliminate Query-Level Complexity
Replace duplicated SQL logic across queries and materialized views with reusable semantic relationships. Timbr generates ClickHouse-native SQL automatically.
Enable BI and AI on ClickHouse
Power BI, Tableau, notebooks, and LLMs all query the same governed semantic models on ClickHouse. No separate pipelines, no rework per tool, no duplication.
Preserve ClickHouse Performance
Timbr sits above ClickHouse tables as a semantic layer, so all queries execute natively in ClickHouse, keeping real-time analytics performance fully intact.
Timbr Solves ClickHouse
Data Teams' Challenges
Working with data at ClickHouse scale is often harder than it should be. Timbr addresses the most common pain points:
| Challenge | How Timbr Helps |
|---|---|
| Metric logic duplicated across queries and views | Define business metrics and KPIs once in Timbr's semantic layer and enforce consistency across every tool and team |
| Explosion of materialized views creating maintenance overhead | Replace view sprawl with reusable semantic relationships that generate efficient ClickHouse-native SQL automatically |
| Non-technical users blocked without SQL or schema knowledge | Timbr's ontology layer lets business users query data using familiar business terms without needing to understand the underlying ClickHouse schema |
| AI-generated queries failing due to ClickHouse schema complexity | Timbr acts as a structured reasoning map for LLMs reducing hallucinations and ensuring generated SQL is always optimized for ClickHouse |
| Limited readiness for agentic AI workflows | Timbr's ontology-based layer gives AI agents governed concepts and relationships to reason over enabling reliable multi-step agentic workflows on ClickHouse data |
| Siloed ClickHouse data disconnected from other sources | Timbr unifies ClickHouse with other data sources like S3 PostgreSQL and Snowflake into a single semantic graph without moving data |
