April 21–23, 2026 – The premier global PostgreSQL technology event, Postgres Conference 2026, was successfully held in San Jose, Silicon Valley, USA. Centered around the theme “Energizing People with Data and Creativity,” the conference gathered top developers and practitioners worldwide to explore PostgreSQL’s evolution as a core data platform in the AGI era. As a technology vendor specializing in kernel-level innovation, YMatrix was invited to present two high-impact technical talks, showcasing its latest breakthroughs under a hyper-converged architecture.
As the annual "bellwether" for global PostgreSQL technology, the conference agenda highlighted the clear trajectory of database technology shifting from general-purpose to full-stack specialized. During three days of sessions, discussions concentrated on three key technical domains:
Native Integration of Databases with AI Agents: Unlike previous years, where discussions focused primarily on storage, this year several in-depth talks explored how PostgreSQL can serve as a "long- and short-term memory" foundation for AI agents. In particular, the integration of vector data processing with large model protocols (MCP) emerged as a focal point of developer interest.
Extreme Performance Optimization and Kernel Tuning: Extensive sessions examined how to push PostgreSQL beyond traditional performance limits by modifying the executor, leveraging SIMD instruction sets, and other low-level techniques. The pursuit of millisecond-level latency and high throughput reflects the stringent requirements for foundational data platforms in the AGI era.
From Static Storage to Dynamic Computing: Another prominent trend was in-database streaming. Developers are moving beyond seeing databases as passive “repositories,” instead expecting them to function as real-time computation “factories” capable of immediate analysis and response as data arrives.
At the conference, YMatrix’s technical presentations addressed PostgreSQL’s analytical bottlenecks and the limitations of traditional streaming architectures, offering lightweight, natively integrated solutions that provide new approaches for large-scale analytics and real-time computing.
YMatrix Vector High-Performance Pluggable Vectorized Executor
To address CPU overhead caused by PostgreSQL’s standard executor iterating one tuple at a time in OLAP scenarios, YMatrix expert CC Xiong detailed the mxvector vectorized execution engine.
The engine’s core strength lies in its fully pluggable design: leveraging PostgreSQL native hooks, Custom Scan, and Table Access Methods, mxvector seamlessly coexists with the standard execution path without modifying kernel code. By introducing VSlot zero-copy technology to convert scalar operations into batch vectorized processing and optimizing for SIMD instructions, mxvector drastically reduces function call and branch overhead, enabling PostgreSQL to maintain robust OLTP capabilities while achieving industrial-grade real-time analytical performance.
PostgreSQL Streaming Model: From Implicit to Explicit How Domino Enables Continuous Computing
In the session on streaming computing, YMatrix expert CC Xiong provided an in-depth analysis of the Domino streaming engine.
Addressing pain points of traditional streaming architectures (e.g., Kafka+Flink+DB) such as complexity, redundant data flows, and high maintenance costs, YMatrix’s innovative Domino engine leverages PostgreSQL kernel capabilities to upgrade from batch processing to streaming reactive paradigms.
Domino deeply embeds streaming logic within the database kernel, natively supports standard SQL extensions, and ensures exactly-once consistency with minimal end-to-end latency. In tests under complex workloads with hundreds of millions of rows, end-to-end latency remained below 20 seconds, significantly outperforming traditional solutions.
YMatrix’s showcase in Silicon Valley not only demonstrated its hyper-converged technology philosophy to the world but also represented a deep resonance between Chinese database innovation and the global open-source ecosystem. As hyper-converged architectures evolve, PostgreSQL is transitioning from a single relational database into a comprehensive AI data platform.
Looking ahead, YMatrix will continue to drive innovation, advancing database technology toward simplicity, efficiency, and intelligence. Further detailed technical analyses of the mxvector vectorized executor and Domino streaming engine will be released in the future. Stay tuned for updates from YMatrix’s official channels.
