Following my previous blog post on contributions to PostgreSQL codebase, here I look beyond the commit log to explore how Fujitsu supports PostgreSQL through collaboration, knowledge sharing, and global community presence .
Beyond the commit log
The long-term success of open‑source software depends equally on the sharing of knowledge, active collaboration, and visible participation in the communities that guide its evolution. Mailing‑list discussions, conference talks, technical writing, and mentoring all play a role in shaping how a project grows and who it serves.
Alongside its upstream engineering contributions, Fujitsu has made sustained investments in these less visible but equally critical dimensions of the PostgreSQL ecosystem. Through openly accessible technical resources, dedicated knowledge platforms, and active involvement in conferences and user groups around the world, Fujitsu helps turn individual engineering experience into collective community progress.
PostgreSQL Blog offers real-world insights from the engineers building it
One of the most visible ways Fujitsu shares this expertise with the broader community is through the PostgreSQL Blog to offer direct insights from engineers.
The blog brings together deep technical exploration and real‑world operational insight, covering topics that matter most to teams running PostgreSQL at scale, with posts dive into logical replication internals and zero‑downtime upgrades, practical guidance on publication filtering and WAL behavior, and long‑term performance evolution within PostgreSQL’s Query Optimizer. Alongside these core database topics, the blog also addresses broader enterprise concerns such as data sovereignty, hybrid and on‑prem continuity, security and compliance frameworks, and the emerging role of AI and Retrieval‑Augmented Generation (RAG) within PostgreSQL. Together, these articles reflect a focus on production‑grade PostgreSQL—where resilience, correctness, and long-term maintainability are as important as new features.
On a more personal note, the blog section also hosts A Day in the Life profiles of Fujitsu's engineers, with candid accounts of how a typical working day is structured around upstream. And for teams migrating from legacy databases, Tim Steward's guide What I wish I had when learning PostgreSQL after Oracle is a valuable resource for architects navigating the transition to open-source stacks.
PostgreSQL Zone is built by engineers, free for everyone
Complementing these knowledge‑sharing efforts, we also publish the PostgreSQL Zone , a platform designed to make deep, practitioner‑level PostgreSQL knowledge openly accessible to everyone.
Beyond conference stages, Fujitsu maintains this hub of deep technical content that is free and openly accessible. This is where the team's engineering insights become public resources.
Recent highlights include Peter Smith's definitive guide on CREATE PUBLICATION syntax and the logical replication of stored generated columns (a PostgreSQL 18 highlight), Nikhil Bayawat's discussion of how to leverage PostgreSQL and Scaled Agile Framework for enterprise success, and Gary Evans's TPC-H benchmark analysis using DBT3 —a practical reference for teams evaluating PostgreSQL's analytical performance.
Fujitsu Enterprise Postgres: Where upstream meets production
All of the upstream work described above flows into Fujitsu Enterprise Postgres —Fujitsu's enterprise distribution of PostgreSQL. Fujitsu Enterprise Postgres extends the community edition with features that matter most in production environments:
- Advanced security controls and compliance reporting
- High availability and disaster recovery tooling
- Performance optimization and operational monitoring
- In-Memory Columnar Index (developed by Fujitsu Labs as Vertical Clustered Index) for analytical workloads
- Vector search capabilities for RAG-based AI applications
Critically, Fujitsu Enterprise Postgres maintains full alignment with upstream PostgreSQL. Customers do not inherit a fork that diverges from the community; they inherit all upstream improvements plus Fujitsu's enterprise additions. The IBM Redbooks guide on Fujitsu Enterprise Postgres on IBM systems, co-authored by Fujitsu engineers, is one public illustration of this integration at scale.
A global voice in conferences and community leadership
Code is only half the story. The other half is the community work that shapes PostgreSQL's direction before a line of code is written—the mailing-list debates, the conference presentations, the hallway conversations at hackfests that turn a rough idea into a committed patch.
Fujitsu engineers are present on every continent where PostgreSQL is discussed:
2026
KubeCon + CloudNativeCon

- Tim Steward challenged the traditional view of data residency, arguing that data sovereignty is a control problem, not a location problem
FOSSASIA 

- Gary Evans examined what 30 years of PostgreSQL teaches us about software longevity
- Gary Evans also talked about conflict management in PostgreSQL
- Rajni Baliyan discussed PostgreSQL support in the age of AI
- Rajni Baliyan also examined how PostgreSQL thrives through collaboration
Postgres Conference India

- Suresh Dash discussed the development of postgresql extensions in C
- Shlok Kyal explored the life of a tuple in Logical Replication
2025
PG Down Under 

- Nishchay Khotari talked about how pgroll allows for zero-downtime and reversible schema migrations
- Rajesh Kansasamy discussed the evolution of PostgreSQL job schedulers
- Vignesh C explored design and implementation of advanced PostgreSQL features
- Peter Smith examines the evolution of CREATE PUBLICATION command
PGConf India

- Vignesh C covered WAL internals
- Shlok Kyal discussed zero-downtime cluster upgrades
PGConf.dev (Montreal)

- Ajin Cherian and Hou Zhijie presented on automated conflict resolution
- Gary Evans and Nishchay Khotari explored learned indexes
FOSSASIA Summit (Bangkok)

- Gary Evans and Nishchay Khotari represented Fujitsu and the broader PostgreSQL community, strengthening ties with the Southeast Asian open-source ecosystem
PASS Data Community Summit (Seattle)

- Tim Steward examined how organizations are increasingly required to control not just how data is handled, but where it resides
FOSS4GNA

- Tim Steward explored the shift between commercial entities and open-source projects
Postgres Conference (Orlando)

- Tim Steward explored the challenges that quantum computing poses to data protection
PGConf NYC

- Tim Steward discussed how data sovereignty can impact database architecture and compliance
2024
PGConf.dev (Vancouver)

- Hayato Kuroda discussed new logical replication features and introduced pg_createsubscriber.
FOSSASIA Summit (Bangkok)

- Gary Evans and Nishchay Khotari talked about the power of the community and collaboration in open-source innovation.
Fujitsu's sponsorship of PGCon, pgDay, and regional user groups ensures this presence is sustained and systematic. Every year, across every release cycle, Fujitsu engineers are at the table where PostgreSQL's future is decided.
Key timeline highlights
Below is a rundown of PostgreSQL's major milestones, alongside Fujitsu contributions and participations in community.
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| 2003 | 7.4 Optimizes subqueries, adds hash-based GROUP BY, improves JOIN optimization, introduces IPv6 support support |
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| 2005 | 8.0 Introduces native Windows support, savepoints, point-in-time recovery (PITR), tablespaces, and improved buffer management |
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| 2010 | 9.0 Delivers streaming replication, hot standby, 64-bit Windows support, and anonymous code blocks |
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| 2011 | 9.1 Introduces synchronous replication, foreign tables, unlogged tables, extensions, and a true serializable isolation level |
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| 2012 | 9.2 Implements index-only scans, cascading replication, JSON support, range types, and SP-GiST indexes |
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| 2014 | 9.4 Adds JSONB (binary JSON) and the ALTER SYSTEM and ALTER TABLE commands, introduces logical decoding, laying the groundwork for Logical Replication |
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| 2016 | 9.6 Introduces parallel execution, multiple synchronous standby servers, phrase search, and performance improvements |
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| 2017 |
10 Adds logical replication, declarative partitioning, improved parallelism, stronger authentication, enhanced monitoring, and significant performance improvement Named DB-Engines DBMS of the Year |
This is the inflection point where Fujitsu’s work becomes globally visible, not just technically impactful |
| 2018 | 11 Improves partitioning, parallelism, indexing, stored procedures, and adds just-in-time (JIT) compilation for faster queries |
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| 2019 | 12 improves performance and space utilization, adds SQL/JSON path queries, generated columns, and enhanced administration and authentication features |
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| 2020 | 13 Improves indexing and query performance, adds incremental sorting, parallelized vacuuming, and enhanced statistics for better query planning |
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| 2021 | 14 Improves performance with query pipelining, enhanced logical replication, better parallelism, and expanded monitoring capabilities |
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| 2022 | 15 Implements SQL MERGE command, adds flexible configuration management |
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| 2023 | 16 Improves performance, query parallelism, logical replication, SQL/JSON support, monitoring, and access control flexibility for scalable data workload |
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| 2024 | 17 Delivers performance gains, improved concurrency and storage, enhanced SQL/JSON features, and simplified logical replication for high availability and upgrades |
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| 2025 |
18 Introduces asynchronous I/O for major performance gains, improved indexing and queries, enhanced monitoring, and UUIDv7 generation through the uuidv7() function |
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| 2026 | 19 Community development activity around conflict resolution, sequence replication, and AI-native workloads continues at pace for PostgreSQL 19 development cycle |
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Fujitsu: In it for the long game
The evolution of PostgreSQL is a story of continuous collaboration across organizations, time zones, and release cycles. Fujitsu's role in that story is long, substantive, and ongoing.
From the first features contributed to PostgreSQL 8.0 to the conflict resolution engine in PostgreSQL 18; from Rajni Baliyan's early talks at PGDay Australia to Peter Smith's row-filter patches, Fujitsu has consistently put engineering resource where it matters most: in the upstream project that the world depends on.
As PostgreSQL continues to grow into AI-era workloads, multi-master distributed systems, and regulated enterprise environments, that commitment will remain central to the project's success.
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