Beyond SQL: Modern database architectures for AI-native applications on AWS

As applications evolve from traditional CRUD systems to Al-native workloads, database architectures must evolve with them. This session covers best practices for choosing between RDBMS and NoSQL databases in real-world industry scenarios on AWS, introduces state-of-the-art storage services – including Amazon Aurora, DynamoDB, Amazon OpenSearch, and purpose-built vector databases like Amazon OpenSearch Serverless with vector engine for retrieval-augmented generation (RAG) – and explores novel techniques for indexing and query optimisation at scale. Attendees will gain practical insights into when to use relational vs. non-relational vs. vector stores, how to design schemas for Al workloads, and how AWS managed database services reduce operational overhead while maximising performance.

Speaker’s profile

Vishesh serves as a Principal Architect within the AWS Professional Services team in Singapore, specialising in Application Development & Architecture, Infrastructure, and Security. He collaborates closely with senior decision-makers and development teams from ASEAN’s largest enterprises, driving cloud adoption strategies, solution optimisation, and robust security implementations. His expertise spans across designing scalable, secure, and high-performance cloud environments, ensuring businesses maximise the value of AWS technologies. Also, Vishesh holds all active AWS certifications, reflecting his deep technical proficiency and commitment to learning to build industry-leading AWS solutions.