We also explain how you can create microservices to save and query JSON data. We cover how you can implement a data access layer using the Spring Data Java Persistence API (JPA) to access JSON data in the Amazon RDS for PostgreSQL tables. This post uses Amazon RDS for PostgreSQL to show how you can create a database schema to store JSON business objects. ![]() PostgreSQL provides robust features to support JSON business data through the jsonb data types. In this post, we walk you through how to support business data captured in JSON format in microservices developed in the Spring Boot Java framework, Amazon RDS for PostgreSQL, or Aurora PostgreSQL. It’s widely used in schema-less document databases which allow documents to evolve with application’s needs. Unlike a flat relational structure, JSON supports a hierarchical structure of basic types, nested objects, and nested arrays. JSON is a common data exchange format used in REST APIs, web applications, and mobile applications. ![]() The Spring Boot framework provides rich features, including auto configuration, dependency injection, metrics measurement, health checks, and more, which expedite application development. You can also use the Spring Boot Java framework to implement microservice applications. Many customers choose Amazon Relational Database Service (Amazon RDS) for PostgreSQL or Amazon Aurora PostgreSQL-Compatible Edition to store JSON business objects along with relational transactional data.
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