Dev.to
6/23/2026

Build an analytics layer on
Original: Building an Analytics Layer on Top of Your Existing Database
Short summary
When analytics queries slow down your production database, build a lightweight analytics layer instead of migrating to a full data warehouse. Use read replicas to isolate reporting traffic from writes, materialized views to pre-compute expensive aggregations, and summary tables to denormalize multi-tenant data. Three practical patterns with production-ready SQL examples.
- •Read replicas isolate analytics queries from production traffic with minimal lag
- •Materialized views pre-compute expensive aggregations and refresh on schedule
- •Summary tables denormalize multi-tenant data for fast dashboard queries
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