Presented by:

As a Database Administrator and Developer having 5+ years experience in administrative activities like Installation , Configuring backups and I'm also passionate about automating administrative tasks , learning new technologies and have also implemented backend technologies like Python and Java. With PostgreSQL Development I've had opportunity using wonders of Python while handling data , implementing multi-threading options and also helped me for few automations as required from PostgreSQL Development perspective.

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PostgreSQL 18 represents one of the most developer‑centric releases in the database’s recent evolution, introducing enhancements that significantly simplify application design, improve performance, and expand SQL capabilities. This version pushes PostgreSQL further into the realm of modern, scalable, and developer‑friendly data platforms through a combination of architectural shifts and productivity‑boosting features.

At the heart of PostgreSQL 18 is the long‑awaited Asynchronous I/O (AIO) subsystem, delivering dramatic improvements to sequential scans, bitmap heap scans, and VACUUM operations. By eliminating traditional I/O bottlenecks, developers now experience more predictable query performance, reduced latency, and better utilization of contemporary hardware architectures-especially in analytics‑heavy or cloud‑native workloads. This shift also positions PostgreSQL more competitively against specialized databases optimized for large‑scale reading. Developers gain further advantages with native UUIDv7 support, combining global uniqueness with time‑ordered structure for faster indexing, better sharding behavior, and cleaner primary key design. The introduction of virtual generated columns as the default option eliminates unnecessary storage costs and avoids table rewrites, making schema evolution smoother and safer during active development cycles. PostgreSQL 18 expands relational expressiveness with temporal constraints, enabling clean enforcement of non‑overlapping time ranges directly in schema definitions. Features like skip‑scan index lookups allow developers to leverage multi‑column indexes more effectively without rewriting queries. Meanwhile, built‑in OAuth authentication modernizes security integration, reducing friction in enterprise identity management.

Under the hood, logical replication becomes far more developer‑friendly with extended DDL replication support, simplifying multi‑node deployments and continuous delivery workflows. Improvements to pg_upgrade, enhanced statistics retention, and new configuration defaults further streamline operational reliability during version transitions. This session highlights these advancements through a developer’s lens-focusing on how PostgreSQL 18 reduces boilerplate logic, accelerates performance‑critical workloads, simplifies schema design, and unlocks modern application patterns. Attendees will leave with practical guidance, architectural insights, and real‑world examples showcasing why PostgreSQL 18 stands out as a transformative release for developers building scalable, intelligent, and future‑proof applications.

Date:
Duration:
50 min
Room:
Conference:
Postgres Conference: 2026
Language:
Track:
Essentials
Difficulty:
Medium