Shayon Sanyal
Principal WW PostgreSQL Specialist Solutions Architect at AWS
Shayon Sanyal is a Principal PostgreSQL Specialist Solutions Architect and a Subject Matter Expert for Amazon’s flagship relational database, Amazon Aurora. He brings over 15 years of experience managing relational databases and analytics workloads utilizing PostgreSQL. Shayon also helps service teams with design and delivery of pioneering features, such as Generative AI.
Shayon enjoys building robust applications using PostgreSQL, taking advantage of its many features, from complex data types to its ability to stream logical changes. Shayon graduated from Carnegie Mellon University with a M.S. in Information Systems Management.
Upcoming presentations
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Past presentations
Replacing Oracle’s Advanced Features in PostgreSQL: High Availability, Advanced Functions, and Extensibility
Who needs Oracle when you have PostgreSQL?
Migrating from Oracle to PostgreSQL often raises questions about replacing powerful Oracle features like Materialized Views, Flashback Queries, Virtual Columns, Oracle RAC, and PL/SQL Packages. While PostgreSQL doesn’t replicate these features identically, it offers robust alternatives that meet—and often exceed—Oracle’s capabilities.
This session will guide you through: - Replacing Oracle’...
Mar 19 2025
Enhancing OLTP Systems with pgvector: Best Practices in Database Design
Generative AI and PostgreSQL
The integration of pgvector into existing Online Transaction Processing (OLTP) systems represents a significant advancement in leveraging vector search capabilities within traditional database environments. This presentation is designed to educate database professionals on the thoughtful integration of pgvector into OLTP applications powered by PostgreSQL, ensuring enhanced functionalities with...
Apr 18 2024
Using Global database in Amazon Aurora PostgreSQL
Using Global database in Amazon Aurora PostgreSQL
An Amazon Aurora Global database is designed for globally distributed applications, allowing a single Amazon Aurora database to span multiple AWS Regions. It replicates your data with no impact on database performance, enables fast local reads with low latency in each Region, and provides disaster recovery (DR) from Region-wide outages. In this session, learn how to plan for cross-Region DR and...
Apr 8 2022
Amazon Aurora Global Database Design Patterns for HA and DR
Amazon Aurora Global Database Design Patterns for HA and DR
Amazon Aurora Global Database is designed for globally distributed applications, allowing a single Amazon Aurora database to span multiple AWS regions. It replicates your data with no impact on database performance, enables fast local reads with low latency in each region, and provides disaster recovery from region-wide outages. In this session, learn about the several use-cases and design patt...
Apr 8 2022