PostgreSQL 18 is in the spotlight, but does it deliver across real workloads? A Planetscale benchmark pits PostgreSQL 17 against PostgreSQL 18, while Database Doctor offers a broader take on how different workloads shape benchmark outcomes. These threads fuel a bigger conversation about when it pays to upgrade and which workloads actually benefit from new features. [1][2]
Version comparison at a glance — The Planetscale benchmark frames where newer features might tilt performance for common workloads, without promising a slam-dunk win for every scenario. It nudges readers to think in terms of real-world use: read-heavy, write-heavy, or mixed workloads. [1]
Broader workload context — Database Doctor anchors the conversation in deeper workload analyses, reminding readers that a single version jump rarely tells the whole story. The takeaway is to look at multiple benchmarks and to match them to your app's patterns. [2]
Cautions and next steps — Taken together, the posts push for hands-on testing and wider data. Upgrade decisions should be driven by the workloads you actually run, not by headline benchmarks alone. [2]
Closing thought: the next wave of benchmarks will show whether newer versions unlock meaningful gains across the workloads that matter most to teams. Stay tuned for data that matches your use case. [1][2]
References
Benchmarking Postgres 17 vs. 18
comparing PostgreSQL versions 17 and 18 via benchmarks, focusing on performance, features, stability, and potential optimizations across workloads and configurations.
View sourceIn depth analysis of database workloads and benchmarks
Discusses database workloads and benchmarks with in-depth analysis and performance comparisons across systems
View source