Five Warning Signs Your Database Needs Different Architecture
Blog post from Tiger Data
Databases often face issues that can be resolved through tuning, but there are deeper problems that arise when a database's architecture no longer suits the workload, particularly as data volume grows. The text identifies five warning signs indicating this mismatch, such as cyclical optimization efforts, constant autovacuum on low-update tables, query performance degrades linearly with data volume, index strategy becoming a tradeoff, and storage costs outpacing data value. These issues reflect an architectural mismatch rather than simple configuration problems, suggesting that the underlying storage engine is unsuitable for the workload. The solution lies in adopting a more fitting architecture, such as TimescaleDB, which optimizes for append-heavy and analytical queries, offering features like automatic partitioning and hybrid storage models to handle these challenges without abandoning the familiar SQL and Postgres environment.