You don't want to miss POSETTE: An Event for Postgres 2026 (T-6 weeks)

PostgreSQL has quietly become one of the most important pieces of modern application infrastructure — and in 2026, that momentum is just impossible to ignore.

From AI‑powered applications and real‑time analytics to globally distributed systems and mission‑critical workloads, PostgreSQL is no longer “just” a relational database. It has evolved into a versatile, extensible platform that sits at the center of how modern systems are built.

POSETTE: An Event for Postgres 2026is where that evolution comes into focus, please visit conference’s site to register and add the event to your calendar!

This year’s conference is not about chasing hype or showcasing isolated features. It’s about how PostgreSQL is actually being built, operated, extended, and trusted in production — by the people who write the code, run it at scale, and depend on it every day.

This post kicks off our POSETTE 2026 blog series. It introduces the major themes shaping the conference and sets the stage for deeper technical dives in the weeks ahead.

PostgreSQL as the “Everything Database”

One idea shows up again and again across the POSETTE 2026 program: PostgreSQL is becoming the everything database.

Once viewed primarily as an OLTP engine, PostgreSQL now supports a surprising range of workloads and access patterns:

• Rich document models with JSON and JSONB
• Full‑text search and fuzzy matching
• Time‑series and event‑driven data
• Vector embeddings for AI and semantic search
• Graph traversal and property graph queries
• Analytical workloads through extensions and hybrid execution engines

Instead of spreading data across specialized systems, many teams are choosing a different path: keep data closer together, reduce architectural sprawl, and let PostgreSQL adapt through extensions, planner improvements, and new query capabilities.

At POSETTE 2026, you’ll see this evolution in practice — from Postgres acting as a lakehouse-style analytics engine, to SQL-native graph queries, to design patterns that simplify applications by leaning into Postgres’ breadth rather than working around it.

One of the upcoming posts in this series will explore how far PostgreSQL can realistically go, where it shines, and where drawing clear boundaries still matters.

PostgreSQL Meets AI: Agents, RAG, and Retrieval at Scale

AI is no longer an experiment bolted onto databases after the fact. It’s changing how applications retrieve, interpret, and reason over data.

A core theme at POSETTE 2026 is PostgreSQL’s role in AI‑driven systems, especially Retrieval‑Augmented Generation (RAG) and agent‑based workflows.

Sessions throughout the conference dig into questions teams are actively struggling with today:

• How do you use PostgreSQL as a reliable retrieval backbone for AI systems?
• How do relational data, vectors, and graphs work together to provide better context?
• How do you expose databases to LLMs safely, without creating operational or security risks?
• How do you prevent accidental writes, unbounded queries, or runaway costs?

The pattern emerging across these talks is clear: production‑grade AI depends far more on disciplined data access, safeguards, and observability than on the model itself. PostgreSQL’s extensibility, strong consistency, and transactional guarantees make it a compelling foundation when AI systems move beyond demos into real workloads.

We’ll dedicate a full blog post in this series to PostgreSQL, MCP, RAG, and agent architectures, unpacking what works today and what’s coming next.

Performance, Elasticity, and the Reality of Scale

Scaling PostgreSQL isn’t just about adding more CPU.

Modern workloads are bursty and unpredictable. APIs spike without warning. Background jobs collide with user traffic. Analytics compete with OLTP. Cloud pricing penalizes both over‑provisioning and reactive resizing.

That’s why POSETTE 2026 puts a strong emphasis on performance realism — the practical realities teams face once systems leave the comfort zone of steady-state benchmarks.

Across multiple sessions, you’ll see deep focus on topics such as:

• Why storage, not CPU, is often the real bottleneck
• How planner costs, vacuum behavior, and maintenance evolve in PostgreSQL 18
• What changes — and what doesn’t — when moving from fixed capacity to elastic compute
• How to reason about distributed scaling without treating it as a magic switch

These are not theoretical discussions. They reflect real production systems under sustained load, and the trade‑offs teams make when performance and reliability actually matter.

Future posts in this series will break down common Postgres performance myths, highlight meaningful changes in recent releases, and share lessons learned from running PostgreSQL under pressure.

Inside PostgreSQL: Internals, Evolution, and What’s Next

POSETTE has always maintained a close connection to the PostgreSQL core community, and 2026 continues that tradition.

This year’s agenda includes deep dives into:

• WAL, logical replication, and change data capture
• Major features landing in PostgreSQL 18, with early signals for 19
• The engineering trade‑offs behind planner, executor, and I/O improvements
• Practical guidance for contributors getting started with PostgreSQL hacking

These sessions offer a rare look behind the curtain — not just at what PostgreSQL does, but why it behaves the way it does, and how decisions make it from patch review to production release.

If you’ve ever wondered how PostgreSQL keeps evolving at scale without losing its stability or community trust, POSETTE 2026 is where those answers take shape.

Security and Operations: Running PostgreSQL Like It Matters

As PostgreSQL adoption grows, expectations shift.

“Works on my machine” isn’t enough. Databases must be secure by default, observable in production, and resilient when things go wrong.

POSETTE 2026 includes sessions aimed squarely at operators, architects, and platform teams responsible for production systems, covering topics such as:

• PostgreSQL authentication and authorization models
• Designing least‑privilege schemas and safer defaults
• Managing large tables without accumulating hidden risk
• Avoiding subtle operational pitfalls that only appear at scale

These are the talks that surface lessons learned the hard way — and help teams avoid repeating them.

More Than a Conference: A PostgreSQL Community Event

What ultimately sets POSETTE apart isn’t just the agenda. It’s the people.

POSETTE 2026 brings together PostgreSQL contributors, extension authors, cloud engineers, platform teams, and practitioners from across the ecosystem. It’s a space to learn from each other, challenge assumptions, and reconnect with why PostgreSQL continues to thrive after decades of evolution.

And this blog series is only just beginning.

In the coming weeks, we’ll go deeper into individual themes, highlight standout sessions, and explore the ideas shaping PostgreSQL’s next chapter.

If PostgreSQL matters to your work — or if it’s becoming central faster than you expected — POSETTE: An Event for Postgres 2026 is the event you don’t want to miss. Go ahead and register!

Up next: Why PostgreSQL Is Becoming the “Everything Database.”