梶山 隆輔 / KAJIYAMA, Ryusuke
KAJIYAMA, Ryusuke (梶山 隆輔) is Open Source Specialist with 20+ years of experience of systems design using MySQL and open source solutions. He originally joined MySQL AB, and is at Oracle through acquisitions. He was managing MySQL Solution Engineering team of Asia Pacific region at Oracle and currently responsible for Business Development role of Oracle's open source database products including MySQL, PostgreSQL, OpenSearch, Redis, and Valkey.
Sessions
MySQL is evolving its development process and community engagement. Oracle is shifting from a model where it primarily defined the roadmap internally and released the results as open source, toward a more open, community-oriented approach.
This session introduces MySQL’s Community Engagement Strategy and Community Roadmap, explaining how Oracle is working to expand the MySQL ecosystem by making roadmap discussions more transparent and encouraging broader participation from users, developers, DBAs, and contributors.
We will cover how the MySQL community can engage with the project through public discussions, feedback on bugs and feature requests. Attendees will learn how they can help shape the future of MySQL—not only as users of the database, but as active participants in its ongoing evolution.
Oracle is known for Oracle Database, one of the most widely used proprietary database. So why is Oracle offering a managed PostgreSQL service?
This session starts with that unexpected question and uses it as a lens to explore a broader shift in modern application architecture: enterprises increasingly want the openness, ecosystem, and developer familiarity of PostgreSQL, while also needing cloud-native operations, high availability, scalable infrastructure, and integration with AI services.
OCI Database with PostgreSQL is Oracle Cloud Infrastructure’s fully managed PostgreSQL service. Rather than positioning it as a replacement for self-managed PostgreSQL or as a proprietary database story, this talk examines the technical design choices behind running PostgreSQL as a managed service: separation of compute and storage, database-optimized shared storage, automated backup and restore, read scaling through replicas, high availability with fast failover, and operational integration with cloud monitoring and security services.
A key focus will be PostgreSQL’s extension ecosystem and why it matters for AI-era applications. We will look at extensions such as pgvector for vector search, PostGIS for geospatial workloads, pglogical for replication scenarios, and other operational extensions that make PostgreSQL more than a traditional relational database. In particular, the session will explain how PostgreSQL can act as a vector store for retrieval-augmented generation (RAG), hybrid search, and semantic search use cases, while remaining part of a familiar SQL-based application architecture.
The talk will also cover practical architecture patterns: using PostgreSQL with object storage, streaming, AI services, application containers, and search/cache services to build modern applications on open source components. The goal is not to present a product pitch, but to discuss what it means to operate an open source database as an enterprise-grade managed service, and where the trade-offs appear between openness, operational control, performance, resilience, and cloud integration.
Attendees will leave with a clearer understanding of how managed PostgreSQL services are evolving, how PostgreSQL fits into AI application architectures, and why even a company strongly associated with Oracle Database sees PostgreSQL as an important part of the modern open source data platform.