data platforms
Simplifying Complex Google Cloud Data
Timbr overlays ontologies on Google Cloud, transforming BigQuery and other services into a unified, knowledge-driven platform. It maps data into a connected graph to streamline access, enforce governance, and enable reuse for AI-ready data products.
Connect Google Cloud Sources
Bring together BigQuery, Cloud Storage, and more through one semantic access layer.
Speed Up Time to Insight
Deliver governed models that reduce pipeline and transformation overhead.
Semantic Governance
Control access, lineage, and definitions across federated GCP services.
Unify Views Across Domains
Create a consistent semantic layer across diverse GCP tools and data formats.
How Timbr Embeds into Google Cloud
Timbr integrates within the modeling layer of Google Cloud, transforming workflows by:
- Unified Semantic Graph: Connect disparate data layers like BigQuery and Cloud Storage into a single, reusable graph.
- Simplified SQL Queries: Replace complex joins with semantic relationships, enabling intuitive exploration across datasets.
- Seamless Tool Integration: Expose Timbr’s semantic models to tools like Looker and Data Studio for consistent and reliable analytics.
Features in Action
- Ontology Modeling: Build and manage semantic relationships directly within Google Cloud, ensuring efficiency and reusability.
- Metrics Store Integration: Define and analyze metrics in SQL with rich semantic context, compatible with universal BI tools.
- Transitive Reasoning: Simplify modeling by automatically applying shared properties across datasets.
Impact
By embedding Timbr, enterprises can:
- Enable Accurate LLM Access: Enable accurate LLM access to structured data.
- Accelerate Insights: Simplify data queries for faster decision-making.
- Enhance Collaboration: Provide teams with a unified understanding of data across tools.
- Scale Workflows: Build flexible, insightful data ecosystems ready to adapt to business needs.
