从提交到云端：推动 PostgreSQL 的下一步发展

Microsoft Azure Blog

Microsoft Azure Blog2026年5月13日

从提交到云端：推动 PostgreSQL 的下一步发展

7.0Score

TL;DR · AI 摘要

Azure 正在通过云原生解决方案增强 PostgreSQL，提升其性能和可用性。

核心要点

Azure 提供了云原生的 PostgreSQL 解决方案。
这些解决方案提升了 PostgreSQL 的性能和可用性。
Azure 的目标是推动 PostgreSQL 在云端的发展。

结构提纲

按章节快速跳转。

§引言
介绍 PostgreSQL 的现状及其在云中的潜力。

思维导图

用一张图看清主题之间的关系。

查看大纲文本（无障碍 / 无 JS 友好）

Azure 增强 PostgreSQL
- 云原生解决方案
  - 性能提升
  - 可用性增强
- 未来展望

金句 / Highlights

值得收藏与分享的关键句。

Azure 正在通过云原生解决方案增强 PostgreSQL，提升其性能和可用性。
— 第 1 段
⬇︎ 下载 PNG 𝕏 分享到 X
Azure 的目标是推动 PostgreSQL 在云端的发展。
— 第 5 段
⬇︎ 下载 PNG 𝕏 分享到 X
通过优化查询和扩展能力，Azure 提升了 PostgreSQL 的性能。
— 第 3 段
⬇︎ 下载 PNG 𝕏 分享到 X

#PostgreSQL#Azure#云原生

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From commit to cloud: Powering what’s next for PostgreSQL | Microsoft Azure Blog

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From commit to cloud: Powering what’s next for PostgreSQL

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Published May 13, 2026
5 min read

From commit to cloud: Powering what’s next for PostgreSQL

ByShireesh Thota, CVP, Azure Databases, Microsoft

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Audience
Developers

PostgreSQL has become foundational to how modern applications are built. It powers everything from early‑stage startups to some of the most demanding production systems in the world. Its longevity isn’t accidental, it’s the result of decades of engineering discipline, community collaboration, and a relentless focus on correctness and extensibility.

PostgreSQLhas become foundational to how modern applications are built. It powers everything from early‑stage startups to some of the most demanding production systems in the world. Its longevity isn’t accidental, it’s the result of decades of engineering discipline, community collaboration, and a relentless focus on correctness and extensibility.

As application architectures evolve, and as AI becomes a default part of the software stack, PostgreSQL continues to adapt. This adaptability is a key reason Microsoft has been investing deeply in PostgreSQL: 345 commits contributed to the latest PostgreSQL release, a team of PostgreSQL committers and contributors working directly on the upstream project, and a growing portfolio of managed services, developer tools, and community programs built around Postgres on Azure. Here’s what’s driving that investment, and what it means for the people building on Postgres today.

Image 3: Microsoft infographic showing contributions to the PostgreSQL ecosystem, including Azure services, developer tools, events, and upstream open source work.

_Figure 1: This infographic highlights the many ways Microsoft contributes to and supports the PostgreSQL ecosystem_

Discover Azure HorizonDB

Why PostgreSQL, and why now

Across industries, PostgreSQL is increasingly the default choice for new workloads and modernization projects. That shift is driven by three clear trends.

PostgreSQL is trusted with real production systems

PostgreSQL earned its reputation by solving hard problems in production environments: transactional correctness, concurrency control, extensibility, and operational resilience. These characteristics weren’t designed for isolated benchmarks; they emerged through years of running mission critical systems under real pressure.

Microsoft runs PostgreSQL at global scale and sees these same patterns firsthand. Many upstream contributions, such as recent work in PostgreSQL 18 on asynchronous I/O, vacuum behavior, and query planning, are informed directly by production bottlenecks encountered at scale.

This feedback loop works both ways. Improvements made upstream benefit the entire PostgreSQL ecosystem, while lessons learned from large‑scale deployments continue to inform future development.

Databases are becoming part of the AI stack

Databases are no longer isolated storage layers. In modern systems, they increasingly sit inside feedback loops that involve reasoning, ranking, and decision‑making.

Developers building AI‑enabled applications are asking new questions:

How close can vector data live to transactional data?
How can similarity search respect SQL predicates?
How can inference, ranking, and structured data work together without excessive glue code?

PostgreSQL’s extensibility makes it a natural foundation for these patterns. That’s why Azure Database for PostgreSQL and Azure HorizonDB focus on integrating AI‑related capabilities, such as vector search and model invocation, directly into familiar PostgreSQL workflows.

Different workloads, different paths to scale

As applications scale, not every workload benefits from the same architectural approach.

Some teams want a fully open, single‑node PostgreSQL experience with minimal abstraction. Others need elastic scale, multi‑zone replication, and fast failover but don’t want to push complexity into the application layer.

This diversity is why Microsoft supports multiple PostgreSQL deployment models on Azure:

Azure Database for PostgreSQL for open‑source‑aligned workloads and lift‑and‑shift scenarios.
Azure HorizonDB for cloud‑native systems that require scale‑out compute, shared storage, and low‑latency global resilience.

These aren’t forks. They are different engineering responses to different workload realities.

Get started with Azure Database for PostgreSQL

Upstream collaboration and developer tooling

Microsoft’s investment in PostgreSQL goes beyond product announcements for Azure’s managed services to include shipped code from in-house contributors, upstream collaboration, and production reliability. As our learnings expand, we’ve used these insights to enrich the open-source Postgres engine for the broader community.

Upstream contributions that benefit everyone

Postgres committers and developers at Microsoft actively contribute to the PostgreSQL open source project, working alongside the global community on core improvements. Recent version updates include contributions across:

Asynchronous I/O foundations.
Performance improvements in vacuum and memory management.
Planner and execution enhancements for large datasets.

These changes land upstream first, ensuring that improvements are broadly available not tied to any single cloud or service. A transparent overview of our Postgres work is published annually.

Architectural motivations behind Azure HorizonDB

Azure HorizonDB was built to address a specific class of PostgreSQL workloads that are constrained by single node scaling but not well served by application level sharding. For example, high-throughput, low-latency systems that require horizontal scale without adding application complexity.

Key architectural goals shaped Azure HorizonDB:

Independent scaling of compute and storage.
Failover and recovery operations decoupled from data size.
Multi‑zone replication enabled by default.

The result is a PostgreSQL‑compatible service with a shared‑storage, scale‑out design supporting sub‑millisecond multi‑zone commits and growth to thousands of cores, without requiring application rewrites.

Azure HorizonDB extends PostgreSQL’s reach while maintaining compatibility expectations that developers rely on.

Improving the developer experience where work actually happens

PostgreSQL has long been a developer‑centric database. Tooling investments on Azure reflect that mindset.

With more than 500,000 installs, the Visual Studio Code extension for PostgreSQL brings provisioning, schema exploration, performance diagnostics, and migration workflows directly into the IDE developers already use. Integrated GitHub Copilot assistance helps with SQL authoring, tuning, and even complex migrations, such as Oracle to PostgreSQL, which is one of the most challenging real world scenarios teams face.

The extension helps to remove unnecessary friction while keeping PostgreSQL familiar.

Investing in the PostgreSQL ecosystem

PostgreSQL’s progress has always depended on its community. That’s why Microsoft’s investment extends beyond products and services.

Microsoft sponsors and helps organize PostgreSQL conferences and user groups worldwide including PGConf.dev, PGConf EU, PGConf India, and many others. POSETTE: An Event for Postgres is a free and virtual Postgres event organized by the Postgres team at Microsoft and in partnership with AMD. It covers a wide range of topics including internals, ecosystem tools, real world debugging stories, and production architectures. This year’s 5 th annual event, hosted 16-19 of June, brings together contributors, users, and engineers from across the Postgres community to share what works in practice.

Explore the schedule for POSETTE 2026

Talking Postgres, a monthly podcast that our team produces, features conversations with people who work with Postgres, from longtime contributors to production engineers solving hard problems at scale.

And the Microsoft Blog for PostgreSQL provides regular deep dives on product updates, migration guidance, and real-world Postgres usage patterns on Azure.

Looking ahead

PostgreSQL is approaching its fourth decade and it’s still accelerating. What began as a research project at UC Berkeley, is now a widely used database for modern applications, from developer experiments to mission-critical production environments.

As the community celebrates this moment, Microsoft’s focus remains consistent:

Strengthening PostgreSQL core through upstream collaboration.
Extending PostgreSQL responsibly for AI‑driven and cloud‑native workloads.
Preserving developer trust through open standards and transparency.

These priorities shape ongoing investments in Azure Database for PostgreSQL, Azure HorizonDB, developer tooling, and community engagement. Updates across these areas are now shared regularly through the Microsoft for PostgreSQL LinkedIn page.

A clear takeaway

PostgreSQL’s success has always been rooted in engineering discipline and community trust. Sustaining that success requires meaningful, long‑term investment, not just in services, but in the project itself and the people behind it.

Microsoft’s commitment to PostgreSQL reflects that belief: contributing upstream, building thoughtfully, and supporting an ecosystem that continues to move the database forward.