A technical comparison of Postgres and Oracle Database covering licensing costs, extension ecosystems, SQL dialect differences, HA architecture, and partitioning maturity. Both databases share the same OLTP ceiling for analytical workloads — once tables grow large, aggregation queries degrade performance. The recommended architectural pattern for both is CDC-based streaming to a columnar OLAP layer (ClickHouse/Tinybird), keeping the operational database for transactions. Includes a practical Oracle-to-Postgres SQL translation table and notes on PL/SQL migration challenges.
Table of contents
The licensing differenceWhere Postgres excelsWhere Oracle excelsWhere both hit limits on analyticsSchema and SQL dialect differencesConnection pooling and deploymentAdding real-time analytics via CDCTinybird for Postgres and Oracle teamsWhat the choice comes down to725 Impressions