PostgreSQL-native object model

Supports 30+ PostgreSQL object types including domains, custom types, operators, collations, procedural languages, event triggers, foreign data wrappers, extensions, and more.

30+ PG object types Partial PG-specific support Relationship-driven schema propagation

Relationships automatically propagate FK columns, constraints, and indexes with PostgreSQL-aware DDL generation.

Auto FK/constraint propagation Varying DDL propagation depth Incremental model-to-database diff & sync

Compares models against live PostgreSQL databases and generates minimal ALTER/DROP/CREATE statements for controlled schema synchronization.

Generates ALTER/DROP/CREATE Basic diff/sync, limited PG fidelity Full PostgreSQL reverse engineering

Reconstructs editable PostgreSQL models including views, functions, triggers, RLS policies, inheritance, partitions, extensions, and more.

Full incl. RLS, triggers, FDW, foreign tables Tables & views focus only Row-Level Security (RLS) policy design

Create, visualize, validate, and export PostgreSQL RLS policies directly in the model.

First-class RLS support Rarely supported Table inheritance modeling

Native support for PostgreSQL table inheritance with correct diagram representation and DDL generation.

Native PostgreSQL inheritance Rarely modeled natively Functions, procedures & triggers in the model

Model PL/pgSQL functions, procedures, and triggers directly in the schema with full source export support.

PL/pgSQL in schema Limited visual integration Partitioned table support

Supports declarative PostgreSQL partitioning (RANGE, LIST, HASH) including partition definitions and child partitions.

Native PG table partitioning via relationship Partial or non-native support Design-time validation engine

Detects broken references, circular dependencies, naming conflicts, and PostgreSQL rule violations before deployment.

Pre-deploy validation Basic validation only Headless CLI for CI/CD pipelines

Run exports, diffs, validation, and deployments through command-line workflows and automation pipelines.

CLI automation ready Mostly GUI-oriented Open, human-readable model format

Models stored as plain XML files designed for Git workflows, diffs, scripting, and long-term accessibility.

Plain XML, Git-friendly Varies; may not be Git-friendly Multi-format export

Export models as SQL, PNG, SVG, HTML data dictionaries, and deployment scripts from a single source model.

SQL, PNG, SVG, HTML Varies by platform Local-first & offline-capable workflows

Fully local PostgreSQL modeling and engineering workflow with offline-capable usage and no mandatory cloud infrastructure. Commercial editions use periodic license validation without requiring cloud-hosted workflows.

Fully offline capable Partial cloud dependency Open-source core

Fully open-source under GPL with source-code access and self-compilation support.

GPL, self-compile Often proprietary Professional licensing model

Flexible licensing focused on ready-to-run binaries, perpetual ownership options, and sustainable independent development.

Perpetual and subscription models Subscription-centric Vendor lock-in risk

Open model format, local-first workflows, and no proprietary hosted backend dependency.

Low risk Lock-in level varies Long-term workflow ownership

Models remain accessible independently of hosted infrastructure or subscription continuity.

No vendor dependency Depends on vendor continuity Target workflow focus

PostgreSQL-native schema engineering, architecture design, reverse engineering, and advanced database lifecycle workflows.

PostgreSQL-specialized Generic multi-database focus Value proposition

Deep PostgreSQL specialization combined with independent, sustainable, and ownership-friendly tooling.

Deep PostgreSQL specialization Broad coverage, less PG depth