Why Database Materialized Views with Incremental Refresh Outperform Hand-Rolled Aggregates

In this episode of Database Tech with Fexingo, Lucas and Luna unpack why hand-rolled aggregate tables often degrade under write-heavy workloads while materialized views with incremental refresh stay fast. They compare a real-world case from a fintech company that migrated from manual nightly rollups to PostgreSQL's materialized views with concurrent refresh, cutting query latency from 12 seconds to 150 milliseconds. They also discuss when to use tools like ClickHouse or Apache Druid versus in-database views. If you've ever wondered why your data warehouse queries slow down as data grows, this episode offers a concrete fix without a full architecture rebuild.

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