One Visual Model for Every Aurora PostgreSQL Schema

Connect DbSchema to Aurora PostgreSQL and turn the live schema into an editable visual model: explore relationships in interactive ER diagrams, plan changes on the canvas, and generate reviewed SQL scripts for deployment.

The workflow is designed for relational modeling, migration planning, and SQL-first collaboration — keep an offline model in Git, collaborate across teams, and publish documentation that developers, analysts, and stakeholders can navigate in minutes.

DbSchema Database Designer

Download DbSchema See Aurora PostgreSQL Features Download Aurora PostgreSQL JDBC Driver · All drivers

What happens after you download?

Get to your first Aurora PostgreSQL schema diagram in minutes. No account, no credit card.

1
Install in minutes

Download the installer for Windows, macOS, or Linux and launch DbSchema. No signup required.

2
Connect to Aurora PostgreSQL or open a sample

Reverse engineer an existing Aurora PostgreSQL database or open a sample model to explore tables, relationships, and indexes.

3
Design, document, and deploy

Edit schema visually, generate documentation, and prepare reviewed migration scripts for safer releases.

Get Started Free

Amazon Aurora PostgreSQL layers PostgreSQL wire compatibility on top of Amazon's distributed storage engine, providing automatic failover, up to fifteen read replicas, and Global Database support for cross-region replication. Because it speaks the PostgreSQL protocol, DbSchema connects using the standard PostgreSQL JDBC driver and exposes the full schema — tables, views, sequences, functions, and extensions — exactly as it would for a self-hosted PostgreSQL instance.

ER Diagram Design for Aurora PostgreSQL Schemas

DbSchema introspects all schemas in an Aurora PostgreSQL cluster and renders the result as interactive ER diagrams. Tables can be dragged into focused layouts that highlight specific bounded contexts, and the diagrams update automatically when the underlying schema changes.

Download DbSchema Free See Aurora PostgreSQL Features

Visualizing an Aurora PostgreSQL schema as an ER diagram in DbSchema

Visual Query Builder for PostgreSQL-Compatible SQL

The DbSchema Query Builder constructs SELECT statements visually — join tables, add WHERE conditions, and aggregate results without writing raw SQL. It generates standard PostgreSQL syntax that runs identically on Aurora PostgreSQL, Aurora Serverless v2, and self-managed PostgreSQL clusters.

Building a query visually against Aurora PostgreSQL in DbSchema

Git-Based Schema Version Control

DbSchema stores the schema model as a structured project file that can be committed directly to a Git repository. Every structural change — a new column, an added index, a dropped table — becomes a traceable commit. For Aurora PostgreSQL deployments where multiple engineers contribute schema changes, this provides a clear audit trail and enables pull-request-based schema reviews.

Committing Aurora PostgreSQL schema changes to Git from DbSchema

Connect DbSchema to Your Aurora PostgreSQL Cluster

  1. Download and install DbSchema — no signup is required, and a 15-day Pro trial is included.
  2. Choose Connect to Database and select PostgreSQL; DbSchema downloads the PostgreSQL JDBC driver automatically on first connection, since Aurora PostgreSQL is wire-compatible.
  3. Enter the cluster endpoint, port 5432, and credentials. The JDBC URL takes the form jdbc:postgresql://cluster.cluster-id.region.rds.amazonaws.com:5432/dbname.
  4. For production connections, append ?ssl=true&sslmode=require to enforce TLS in transit. To use IAM database authentication instead, grant the database user the rds_iam role and supply a short-lived RDS auth token as the password.
  5. Connect — DbSchema reverse-engineers every schema in the cluster into an ER diagram. For Aurora Serverless v2, the endpoint and port are identical, since capacity scaling is transparent to the JDBC driver.

What Aurora PostgreSQL Teams Gain from DbSchema

  • Schema visualization — render complex multi-schema Aurora databases as navigable ER diagrams.
  • Cross-environment comparison — diff an Aurora dev cluster against production and generate targeted migration SQL.
  • Offline modeling — design schema changes locally without a live cluster, then synchronize when ready.
  • Git integration — track every schema change alongside application code in the same repository.
  • Global Database support — connect to primary and secondary regions in separate profiles within one project.

Managing schema changes across an Aurora PostgreSQL Global Database? Download DbSchema for free and keep primary and secondary region schemas in one versioned project.

Frequently asked questions

Yes. Aurora PostgreSQL speaks the PostgreSQL wire protocol, so DbSchema connects with the standard PostgreSQL JDBC driver and exposes tables, views, sequences, functions, and extensions.

Aurora PostgreSQL uses the standard PostgreSQL port 5432, in a URL of the form jdbc:postgresql://cluster-endpoint:5432/dbname.

Yes. Grant the database user the rds_iam role, then supply a short-lived RDS authentication token as the password when connecting.

Teams working with Aurora PostgreSQL often use these engines too. Explore dedicated guides and JDBC setup for each.

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