TopN AnalyticsTechnology
PostgreSQL
A rock-solid, open-source relational database, our default for operational data and smaller-scale analytical workloads.
Our Experience
How we typically use it
We use PostgreSQL both as an application database and, for smaller data volumes, as a straightforward analytical store that doesn't require the overhead of a dedicated warehouse.
Implementation Patterns
Where it fits
- Operational / transactional data store
- Lightweight analytics for smaller data volumes
- Source system for downstream warehouse pipelines
FAQs
Common questions
- When would we outgrow Postgres for analytics?
- Once query patterns get complex or data volume grows significantly, a dedicated warehouse like BigQuery usually becomes worth the move.