Free
Volca
SaaS Boilerplate and Starter Kit with Node.js and React
JavaScript
TypeScript
React
PostgreSQL
Stripe
AWS CDK
Node.js
React
Features:
Auth
AWS
CI/CD
IaC
Logging
Multi-Tenancy
Serverless
+2 more
PostgreSQL Boilerplates
Explore 43 boilerplates in this collection. Find the perfect starting point for your next project.
Other Database Integrations25
Free
Nextacular
An open-source starter kit for building multi-tenant SaaS applications
JavaScript
Tailwind CSS
MySQL
PostgreSQL
Prisma
Stripe
Next.js
Features:
Auth
Emails
Landing Page
Multi-Tenancy
SEO
Subscriptions
Teams
$129
RyzeKit Astro
The ultimate Astro SaaS starter kit
JavaScript
TypeScript
DaisyUI
Tailwind CSS
MySQL
PostgreSQL
SQLite
Lemon Squeezy
Stripe
Astro
Features:
Analytics
Auth
Blog
Contact
Dark Mode
Dashboard
Docs
+6 more
$49
Next.js and Django SaaS Boilerplate
Empower enterprise solutions with our Next.js & Django SaaS Boilerplate. Built for peak performance, scalability, and reliability.
JavaScript
Python
TypeScript
Tailwind CSS
PostgreSQL
Stripe
Django
Django Ninja
Next.js
Features:
Admin
API
Auth
Blog
Emails
Feedback
Google OAuth
+7 more
$99
ZexaNext
The Simple, Speedy & Efficient Next.js Boilerplate
JavaScript
TypeScript
Framer Motion
shadcn/ui
Tailwind CSS
PostgreSQL
Prisma
Stripe
Next.js
React
Features:
Analytics
Auth
Blog
Dark Mode
Docs
Emails
OAuth
+5 more
$179
NativeExpress
Everything you need to quickly build, launch, and monetize your React Native apps
JavaScript
TypeScript
Gluestack UI
NativeWind
Tailwind CSS
PostgreSQL
Supabase
Apple Pay
Google Pay
RevenueCat
Expo
React Native
Features:
AI
Analytics
Auth
Dark Mode
Docs
IAP
Marketing
+5 more
$199
LiveSAASKit
SAAS Starter Kit built for Elixir and Phoenix LiveView
Elixir
Tailwind CSS
PostgreSQL
Stripe
Phoenix
Features:
Auth
CI/CD
Docs
i18n
Multi-Tenancy
OAuth
Testing
+1 more
$99
BuilderKit
Highly modular NextJS AI Boilerplate that allows you to ship an AI App super fast
JavaScript
TypeScript
shadcn/ui
Tailwind CSS
PostgreSQL
Supabase
Lemon Squeezy
Stripe
Next.js
React
Features:
Admin
AI
Auth
ChatGPT
Deployment
Docs
Emails
+7 more
$279
FastestEngineer
Build a fully featured SaaS app with Primate.js and Svelte
Go
JavaScript
Python
Ruby
TypeScript
Angular
Handlebars
HTMX
Markdown
Marko
React
Solid
MongoDB
MySQL
PostgreSQL
SQLite
SurrealDB
Stripe
Analog
Next.js
Nuxt
Primate.js
Svelte
SvelteKit
Vue.js
Features:
API
Auth
Blog
CI/CD
Deployment
Docs
Emails
+7 more
Showing 9 of 43 boilerplates
Why Choose PostgreSQL Boilerplates?
PostgreSQL provides a powerful data storage solution with specific transaction models, indexing strategies, and query capabilities suited for SaaS applications. Our PostgreSQL boilerplates implement database-native features—from ACID transactions to advanced indexing—with schemas optimized for PostgreSQL's query engine and scaling characteristics.
PostgreSQL boilerplates are designed around the database's data modeling approach and transaction semantics. They leverage PostgreSQL-specific features like JSONB columns, full-text search, aggregation pipelines, or partition keys depending on the database type. The schema design follows PostgreSQL's best practices for normalization (SQL) or document structure (NoSQL), with strategic indexes on query-heavy columns. Migration systems use PostgreSQL-native tools for version-controlled schema evolution.
Key Benefits
- PostgreSQL-native features (JSONB, aggregations)
- PostgreSQL-optimized schema design
- PostgreSQL indexing strategies
- PostgreSQL transaction patterns
- PostgreSQL-specific query optimization
- PostgreSQL scaling architecture
- PostgreSQL backup and replication
- PostgreSQL migration tooling
Browse our collection of 43 PostgreSQL boilerplates to find the perfect starting point for your next SaaS project. Each boilerplate has been carefully reviewed to ensure quality, security, and production-readiness.
Frequently Asked Questions
What PostgreSQL-specific features are leveraged in these boilerplates?
PostgreSQL boilerplates utilize the database's native capabilities including its transaction model (ACID for SQL, eventual consistency for NoSQL), indexing strategies (B-tree, GiST, full-text search), and advanced features like JSON columns, array types, window functions, or document queries. The schema design takes advantage of PostgreSQL's strengths—whether that's PostgreSQL's JSONB, MySQL's full-text search, MongoDB's aggregation pipeline, or Redis's data structures.
How is the PostgreSQL schema designed for SaaS applications?
PostgreSQL boilerplates include production-tested schemas for multi-tenancy, user management, subscriptions, and billing. The design follows PostgreSQL's best practices for data modeling—whether that's normalized tables with foreign keys (SQL), embedded documents vs. references (MongoDB), or partition key strategies (DynamoDB). Schemas include proper constraints, default values, and relationship management optimized for PostgreSQL's query engine.
What PostgreSQL query optimization techniques are implemented?
PostgreSQL boilerplates implement database-specific query optimizations including strategic indexing on frequently queried columns, query plan analysis, proper use of PostgreSQL's query features (prepared statements, query builders, aggregations), and N+1 query prevention. Connection pooling is configured for PostgreSQL's optimal settings, and caching layers are positioned to reduce database load while maintaining data consistency.
How does PostgreSQL scale in these boilerplates?
PostgreSQL boilerplates are structured for horizontal and vertical scaling using the database's native scaling features. This includes read replicas, sharding strategies (if applicable), connection pool sizing, and query optimization for distributed systems. The architecture supports PostgreSQL's scaling patterns—whether that's PostgreSQL's logical replication, MongoDB's sharding, or DynamoDB's automatic partitioning.
What PostgreSQL backup and migration strategies are included?
PostgreSQL boilerplates include migration systems using database-specific tools (Prisma migrations, Django migrations, Flyway, Liquibase, or native tools). They follow PostgreSQL's best practices for zero-downtime deployments, backward-compatible schema changes, and data migrations. Backup strategies leverage PostgreSQL's native backup features (pg_dump, mysqldump, mongodump) with automated scheduling and point-in-time recovery configurations.