Session description
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.
