Name: Bringing GraphQL Natively To Relational Databases With AI - Shashank Gugnani, Oracle
Start: 2026-05-19T14:45:00-0700
End: 2026-05-19T15:10:00-0700

May 19 - 20 | In-Person Only
GraphQLConf 2026 website

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Bringing GraphQL Natively To Relational Databases With AI - Shashank Gugnani, Oracle

Tuesday May 19, 2026 2:45pm - 3:10pm PDT

Grand Ballroom I

GraphQL offers a popular way for developers to access and interact with data. However, integrating GraphQL with enterprise databases often requires custom middleware, complex resolvers, and maintenance overhead. With Oracle AI Database 26ai, this changes: developers can now use GraphQL queries natively in the database, leveraging automated schema inference and built-in parsing with no loss of performance or scalability.

In this session, we will demonstrate Oracle’s first-class GraphQL integration, including the new table function that lets you run GraphQL queries as native SQL. We will showcase:

- How to map and query relational data with GraphQL, with built-in features for joins, predicates, ordering, & calculations.
- How LLMs can generate valid GraphQL queries from natural language, making API access approachable, and why targeting GraphQL via LLMs often delivers safer, better experiences than translating NL to SQL.

Whether you’re an architect modernizing data APIs or a developer working with complex schemas, this session will help you take advantage of the best of both relational databases and the GraphQL ecosystem, with added automation from today’s AI advancements.

Speakers

Shashank Gugnani

Senior Software Development Manager, Oracle

I am an engineering manager in the Database Transactions team at Oracle, working on the design and implementation of next-generation Oracle database products. I hold a PhD in Computer Science from Ohio State and an undergraduate degree in Computer Science from BITS-Pilani. My research... Read More →

Tuesday May 19, 2026 2:45pm - 3:10pm PDT
Grand Ballroom I

AI and LLMs

Audience Level Any

GraphQLConf 2026

Shashank Gugnani

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