PostgreSQL range types are taking center stage, and memory tuning is not far behind. A focused look ties the power of start/end bounds and operators to practical memory decisions that can swing performance [1].
Range Types Deep Dive Range types let you model spans with explicit start and end bounds, plus operators that help test containment or overlap. The discussion highlights how these features interact with indexing and query plans in real-world workloads [1].
Memory Tuning Reality Check On memory, the caution is simple: don’t give Postgres too much memory. When a database has lots of RAM but poor workload patterns, you can end up with diminishing returns or bloat [2].
• Range types’ performance depends on how queries and memory are balanced [1]
• Memory guidance warns against over-allocating RAM, aligning resources with workload [2]
Closing thought The takeaway: pair powerful feature choices with disciplined memory planning to get the most from PostgreSQL in 2025.
References
Beyond Start and End: PostgreSQL Range Types
Explores PostgreSQL range types, usage patterns, bounds, operators, and benefits over plain start/end columns.
View sourceDon't give Postgres too much memory
Advocates caution against overallocating memory to Postgres; discusses memory tuning and resource balancing for performance.
View source