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FOSS4G NA Enterprise Automation Resilience: Red Hat AAP on EDB Postgres AI EDB heads to PGConf.Brasil 2026, this is what we’ll be talking about! Powering Invisible Commerce at World Cup Speed By the Time Your Data Warehouse Answers, the Opportunity Is Gone Building a Sovereign, Intelligent Data Foundation with EDB Postgres® AI on IBM LinuxONE 5 Deep Dive Into EDB Postgres AI's Agentic Database Capabilities Meeting in Montreal: Developer U plan(ner) patches KubeCon + CloudNativeCon NA EDB Summer Academy Your Database Goes Down. What Does That Cost Your Business? The Oracle Renewal Is Coming. This Time, There’s a Way Out. One Dashboard to Rule Them All — and Finally Get Your Fridays Back Your Database Should Be Working While You Sleep Inside the Agentic Database: How EDB Turned Postgres Into a Self-Managing System The Architecture IS the Security: Building Sovereign AI Ops on Postgres with EDB Agent Factory EDB Named a Leader in Multimodel Data Platforms Evaluation PGDay Hyderabad The Role of AI in Data Analytics: Moving From Hype to High-Octane Utility Iga Januszek Mike Olifirowicz Meeting EU Data Sovereignty Requirements While Speeding-Up Innovation Inside EDB’s New Principles for Responsible AI: Sovereign, Governed, Trusted and Beneficial Built From the Data Up: A Trusted Foundation for the Agentic Era | EDB Postgres® AI Q2-2026 Release EDB Launches Agentic Database, Converged Analytics, and Governance, Bringing Sovereign AI Where Enterprise Data Already Lives Stop Spending Hours on What Should Take Minutes: A DBA's Guide to EDB Postgres AI’s Agentic Database Capabilities Making Agentic AI Smarter at the Architecture Level Charly Batista Buildfarm Query API Jaime Arze EDB PGD 6.4 Brings Distributed Consistency to Mission-Critical Postgres Data Layer Precedes Compute, GPU Capacity in Sovereign AI The pipeline tax is breaking enterprise AI at agent scale Sovereignty boosts enterprise AI returns, study finds As the Agentic Era Reshapes the Data Layer, Enterprises Build Their Sovereign Foundation on EDB Postgres® AI The Industrial Bank of Korea Bets Its Core Financial Infrastructure on EDB Postgres® AI Governing Agentic AI at Enterprise Speed Beyond the Latency Gap: Building Sovereign, Real-Time Agentic Applications on a Unified Postgres Estate Just Clear a Day: What We Learned Running an AI Security Hackathon How Shinhan EZ Insurance Built a Cloud-Native Core Banking System on EDB Postgres® AI PGConf.dev 2026: Our team’s sessions, working groups, and key takeaways EDB Releases PGD 6.4 with Quorum Commit, Bringing True Distributed Consistency to Mission-Critical Postgres PostgreSQL Conference Europe (PGConf EU) Cloud Native Denmark Data Stack Conf Community over Code Postgres Summit US PGDay Lowlands PGDay UK PGConf.Brasil Kubernetes Community Days (KCD) Melbourne Swiss PGDay Switchover and Switchback of CloudNativePG Replica Clusters in a Distributed Topology (K8s) - Part 2 Preparing Enterprises for the Agentic Workforce CWO Society Dinner for FSI From VMs to Kubernetes: A DBA's Journey in a Large Global Bank AI Data Pipeline Automation with AIDB Navigating Disruption: Architecting Your Sovereign Data Estate for Resiliency Sovereignty Is the New Operating System for Agentic AI, New MIT Technology Review Insights Report Finds Beyond the DBaaS Trap: Achieving Data Sovereignty with Kubernetes and CloudNativePG Red Hat Ansible Automates: Washington DC OpenShift Showcase: Toronto 소버린 AI 전문가와 함께하는 EDB 웨비나 コンテナ化の運用の壁をどう超えるか 〜デプロイ・保守を自動化し、リソース負担を最小化する次世代DB運用戦略〜 コンテナ化の運用の壁をどう超えるか? 〜デプロイ・保守を自動化し、リソース負担を最小化する次世代DB運用戦略〜 A Day in the Life: Inside a Director of Sales Development Role at EDB Taller: Creación de una plataforma de análisis soberana a gran escala con EDB Postgres AI Workshop: Building a Sovereign Analytics Platform at Scale with EDB Postgres AI Building Real-Time, Data-Aware Intelligence with Postgres and the Model Context Protocol Yogesh Jain POSETTE How Euronext FX Built the Data Foundation for a New Era of Electronic Trading EDB Postgres® AI: The Sovereign Data and AI Platform for the Agentic Enterprise HOW2026 Data, Trust, and the New Rules of AI EDB at Red Hat Summit 2026: Building AI on Ground You Own A Day in the Life at EDB: Inside a Director of Customer Success Role at EDB PostgreSQL vs MySQL: Migration Without the Migraine DIVA (Dive into AI) 2026 Club des Utilisateurs Français d’EDB Postgres (CUFEP) 2026 EDB Delivers “Intelligence per Watt” Paradigm to Slash Token Consumption and Cut Data Center Emissions by up to 87% EDB Postgres AI on OpenShift cluster using CSI driver for Dell PowerFlex takashi eridai EDB Japan EDB Spearheads the Year of the Agentic Workforce with Industry Recognition, Ecosystem Momentum, and Continued Postgres® Leadership A Strategic Roadmap for Oracle to Postgres Migration at Ooredoo Deployment of PostgreSQL Replica Cluster via Barman Cloud Plugin on CloudNativePG - Part 1 Making AI Work for Your Business PGDay Armenia Ava Chawla Why the World’s Most Stable OS Demands a High-Performance Data Foundation MySQL to PostgreSQL Migration Chris Chiappone EDB Postgres® AI Delivers Superior Predictability vs. Cloud Data Warehouses in High-Concurrency Benchmark, Unveils Q1 Platform Updates to Power the Agentic AI Era The Agentic Confusion: Why I Keep My Postgres Control Plane Deterministic The Next Generation of EDB Postgres AI Factory: Built for the Agent Era Why Your Analytical Database Needs Multiple Clusters to Do What WarehousePG Does With One Driving the Next Digital Experience
Jumping the gun: looking ahead at PostgreSQL 19
Floor Drees · 2026-07-03 · via EDB

April 8 marked the start of feature freeze for PostgreSQL 19. For anyone unfamiliar with the PostgreSQL development cycle, that means that as of April 8 no new features are accepted for the upcoming major version. From April until the final release in the second part of the year, the community works on beta releases, bug fixes, and documentation. If a major feature isn't ready by the April deadline, it cannot be "snuck in." Conversely, stuff that is committed before the feature freeze isn't automatically making it into the new version as is. Patches might still get reversed, or stripped down. 

April 15 Bruce Momjian published the draft release notes for 19, when the feature count was at 212. At the time of the freeze, we committed 32 EDB-authored patches to PostgreSQL 19. 

Commitfest screenshot

I asked several PostgreSQL hackers at EDB about what features and fixes they're excited about. 

Shiny stuff 

Peter Eisentraut has put a bunch of work into PGQ, which is going to open PostgreSQL as a database for graph database workloads. “It's a different way of interacting with data (a paradigm shift if you will), like document database/JSON, or object-relational.” A hacker with his track record, we’re pretty sure users will be enjoying this functionality very soon. 

Robert Haas’ big thing this year is pg_plan_advice, which for a moment looked like it was going to get rolled over into v20 but is committed now. He wrote a blog post about the functionality it introduces (which he feels like needs a part 2 to reflect the updated state of things). The short version: you can use pg_plan_advice for plan stability, or to override the planner’s judgement. You do this either by setting pg_plan_advice.advice to a suitable advice string just before the query is planned and clearing it just after, or else you use pg_stash_advice to automatically supply an advice string every time a certain query ID is seen. You figure out the advice string by using EXPLAIN (PLAN_ADVICE) as a starting point, and then cutting it down or modifying it as you wish. 

Álvaro Herrera, with Mihail Nikalayeu, and led by Antonin Houska (Cybertec) will see their work on REPACK CONCURRENTLY go into the next release. Alvaro and Antonin already teased this functionality at last year’s PGConf EU, in Riga. The pitch? REPACK goes further where VACUUM FULL falls short, and gets rid of table bloat without locking tables. 

Richard Guo committed eager aggregation for plan optimization. The patch title mentions “take 3”, since earlier attempts by other hackers in 2017 and then 2022 never made the cut. The third time proved the charm, the work was committed. 

Andrew Dunstan shared this about a set of patches by Amul Sul that he ultimately committed, making pg_waldump work on tar files: “Prior to these changes, pg_verifybackup could not deal with tar format backups. Now, via Amul’s work on getting this feature enabled in pg_waldump, it can.” A real troubleshooting enhancement, saving time and space. 

Euler Taveira with his fine-grained log_min_messages patch introduced the ability to do highly targeted debugging. “It allows you to increase the verbosity in a specific auxiliary process without altering the configuration that affects all Postgres processes.” Increased log verbosity on a busy production server can lead to running out of disk space, severe IO performance degradation, and it’s like looking for the so-called needle in the haystack. Isolating the high-verbosity logs to a single auxiliary process makes it so that DBAs can do their troubleshooting in production, without impacting the current workload. 

PostgreSQL 19 will see the first pieces of a project aimed to provide SQL functions that emit the Data Definition Language (DDL) for any database object. Up to now, the only way to get that DDL has been to run pg_dump on the database and pg_dumpall on the cluster for global objects. The first round of these cover global object types: databases, roles and tablespaces. These patches have been contributed by participants in EDB Developer U program: Akshay Joshi, Nishant Sharma, Manni Wood, Mario Gonzalez, and Bryan Green. The group is set on covering the remaining database object types for release 20. 

EDB Jacob Champion comments on a few notable patches submitted by others: 

  • Asynchio was introduced in PG 18, in 19 we’ll see increased performance. 
  • GROUP BY ALL by David Christensen (Snowflake) simplifies queries, reducing the need to spell out everything. 
  • Masahiko Sawada (AWS) submitted a change that enables logical decoding without restarting the server - just one of those papercuts that is just annoying, and now it’s … no longer necessary! 

It can’t always be shiny stuff though 

Jacob says that he feels he didn’t really do anything aside from “firming up the damage I did last year”. You might remember the introduction of support for the OAuth that took 4 years to make it into Core. Certainly not an outlier in terms of time it may take to get a patch committed, but nevertheless a timeline that can be hard to explain to your colleagues working on commercial products, with sprints and more frequent release cycles. In fact, online checksums, also slated for 19, is a pre-pandemic patch! 

“OAuth was so large, it was impossible to get everything in, the first time around. Refining that was plenty of work!” REPACK definitely is Alvaro’s “OAuth” this year around. “Releasing that will enable a bunch of stuff that will become apparent in PG 20.” 

Peter is actually looking forward to spending the next cycle on maintenance. It may not be glamorous, but it’s extremely important to invest in the stability of the project. 

What’s next? 

PostgreSQL 19 GA is expected in September/October, just in time for the community to get together at the largest PostgreSQL conference in the world: PGConf.EU. Taking place in Valencia, Spain, the program is yet to be published but like every year feature previews and walk-through are very certainly part of the schedule. As the release date creeps closer we’ll publish more deep-dives from our hackers, and we’ll see you in Valencia!