Proof of Concept: Hybrid Storage Strategy
A pipeline combining modern async Rust ingestion with traditional PostgreSQL storage. Demonstrates when relational databases outperform newer approaches for specific analytical workloads.
Key insight: PostgreSQL excels at complex joins, strict consistency, and integration with existing BI tools. Modern lakehouses handle volume. Use the right tool for each job rather than forcing one approach across all workloads.
Practical example of how thoughtful hybrid architectures can be more cost-effective and maintainable than single-technology solutions.
Key Benefits
- Query Performance: Relational databases excel at complex analytical queries with joins and aggregations
- BI Integration: Works seamlessly with existing Power BI, Tableau, and other enterprise BI tools
- Operational Simplicity: Familiar backup, monitoring, and maintenance patterns reduce complexity and training
- Hybrid Benefits: Modern ingestion combined with proven storage provides performance with reliability
- Incremental Innovation: Adopt new technologies where they matter while maintaining business continuity
Technical Approach
PostgreSQL's relational model, strong consistency, and SQL interface suit structured reporting and BI integration. Rust handles ingestion for performance and reliability. Demonstrates how to architect robust ETL processes for relational systems, a foundational component in enterprise data strategies.
Core Technologies
- Language: Rust
- Database: PostgreSQL
- Libraries: tokio, reqwest, serde, rayon