

Oracle Database 23ai and PostgreSQL are both Databases tools. Compare features, pricing, and ratings below to find the best fit for your team.
The question that matters: “In what situation will I regret choosing A over B after 3 months?”
PostgreSQL's JSONB with GIN indexes stores semi-structured data in relational tables and queries nested keys at under 5ms, avoiding a full NoSQL migration for use cases that need occasional schema flexibility.
Declarative partitioning splits large time-series tables into monthly partitions, cutting query scan time by 90% for date-range queries that previously scanned billions of rows.
Logical replication syncs a live production database to a new instance in real time, enabling a migration cutover measured in seconds rather than the hours a pg_dump/restore requires.
Best for: Ideal for developers and small projects to explore features without cost
Best for: Suitable for small to medium businesses needing a robust database solution
Best for: Designed for large enterprises requiring maximum performance, scalability, and advanced features
Best for: Offers a self-driving, self-securing, and self-repairing database for mission-critical workloads
3 differences found across 10 standardized features
Evaluative strengths and weaknesses: not feature lists
Oracle Database 23ai removed the "Standard Edition 2 (SE2)" plan
Plan removed · May 30, 2026
Oracle Database 23ai added a new "Standard Edition 2" plan (Custom pricing)
Plan added · May 30, 2026
Oracle Database 23ai removed the "Autonomous DB" plan
Plan removed · May 21, 2026
Oracle Database 23ai removed the "Enterprise" plan
Plan removed · May 21, 2026
Oracle Database 23ai removed the "Oracle Free" plan
Plan removed · May 21, 2026