Database Integrations

Explore 101 boilerplates in this category. Find the perfect starting point for your next project.

Browse by Database Integrations

25 options

Amazon Redshift

1 boilerplate

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Appwrite

1 boilerplate

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AWS

1 boilerplate

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CockroachDB

1 boilerplate

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Django ORM

1 boilerplate

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Drizzle ORM

7 boilerplates

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DynamoDB

4 boilerplates

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EdgeDB

1 boilerplate

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EF Core

1 boilerplate

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Firestore

17 boilerplates

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Hive

1 boilerplate

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MariaDB

1 boilerplate

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MongoDB

16 boilerplates

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MSSQL

1 boilerplate

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MySQL

18 boilerplates

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Neon

3 boilerplates

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Oracle

1 boilerplate

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Pocketbase

1 boilerplate

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PostgreSQL

43 boilerplates

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Prisma

18 boilerplates

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Redis

2 boilerplates

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SQLite

16 boilerplates

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Supabase

31 boilerplates

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SurrealDB

1 boilerplate

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Turso

2 boilerplates

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Featured Boilerplates

Visit website for ShipAppsFast

ShipAppsFast

NextJS SaaS Boilerplate with Authentication, Database, Payments, and more

JavaScript
TypeScript
Mantine UI
Prisma
Stripe
Next.js

Features:

Auth
Blog
Emails
i18n
Landing Page
Magic Links
Payments
+5 more
Visit website for Nextless.js

Nextless.js

Next.js + Serverless SaaS Starter Kit with Authentication, Payment, Teams, and Dashboards

JavaScript
TypeScript
Tailwind CSS
DynamoDB
MongoDB
MySQL
PostgreSQL
Stripe
AWS CDK
Next.js
Serverless Framework

Features:

2FA
Admin
API
Auth
AWS
Background Jobs
Clean Architecture
+13 more
Visit website for NextJet

NextJet

A Next.js SaaS boilerplate with all key features for your SaaS startup

JavaScript
TypeScript
shadcn/ui
Tailwind CSS
Prisma
Lemon Squeezy
Stripe
Next.js
React
Turborepo

Features:

Admin
Auth
Blog
CI/CD
Dark Mode
Dashboard
Developer Tools
+10 more
Visit website for Scale to Zero AWS

Scale to Zero AWS

Production-ready AWS serverless kit using best practices

JavaScript
TypeScript
CSS
React
Tailwind CSS
DynamoDB
Lemon Squeezy
Stripe
Astro
Gatsby
Hugo
Next.js
Node.js
React

Features:

API
Auth
AWS
Blog
Caching
CI/CD
Community
+10 more
Visit website for Codepilot

Codepilot

The Ultimate SaaS Starter Kit with all you need to ship fast.

JavaScript
TypeScript
React
Tailwind CSS
PostgreSQL
Supabase
Lemon Squeezy
Stripe
Next.js
Strapi

Features:

Admin
AI
Animations
Auth
Blog
Dashboard
Emails
+7 more
Visit website for ApparenceKit

ApparenceKit

A Flutter template to launch profitable mobile apps at lightning speed

Dart
Flutter
Firestore
Supabase
RevenueCat
Flutter
Riverpod

Features:

AI
Analytics
Auth
CI/CD
i18n
Landing Page
Monetization
+4 more
Visit website for ShipFlask

ShipFlask

A Python starter kit for your next SaaS

Python
AJAX
jQuery
MongoDB
Stripe
Flask

Features:

AI
Auth
ChatGPT
Emails
OpenAI
ORM
Payments
+1 more
Visit website for Nextbase

Nextbase

A comprehensive Next.js boilerplate for building SaaS products with auth, payments, and organizations

JavaScript
TypeScript
React
shadcn/ui
Tailwind CSS
Supabase
Lemon Squeezy
Stripe
Next.js

Features:

Access Control
Admin
API
Auth
Blog
Changelog
Docs
+9 more
Visit website for Next Forge

Next Forge

Production-grade Turborepo template for Next.js apps

JavaScript
TypeScript
Radix UI
shadcn/ui
Tailwind CSS
EdgeDB
Neon
Prisma
Turso
Stripe
Next.js
React
Turborepo

Features:

AI
Analytics
API
Auth
Blog
Dark Mode
Docs
+8 more

Why Use Databases-Specific Boilerplates?

Database selection determines your data model architecture, from transaction guarantees to scaling strategies. Each database offers distinct approaches to indexing, replication, and query optimization. Our collection features database-specific boilerplates that leverage each database's native capabilities and performance characteristics.

Database-specific boilerplates provide schemas optimized for each database's data model (relational tables, documents, key-value, or column-family), implement database-native indexing strategies (B-tree, hash, full-text), leverage database-specific query features (window functions, aggregation pipelines, graph queries), and include database-optimized connection pooling and caching layers.

Key Benefits

  • Database-native feature utilization
  • Database-optimized data modeling
  • Strategic indexing for performance
  • Database transaction handling
  • Query optimization techniques
  • Database-specific scaling patterns
  • Backup and disaster recovery
  • Version-controlled migrations

Browse our collection of 101 databases 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

How do boilerplates leverage database-specific features?

Database boilerplates leverage native features: PostgreSQL uses JSONB and advanced indexing, MySQL implements full-text search, MongoDB uses aggregation pipelines, Redis leverages in-memory data structures, DynamoDB utilizes partition keys. Each schema is designed around the database's specific strengths.

What database schema patterns are used for SaaS?

SaaS schemas include multi-tenant architecture patterns (shared database with tenant_id, database-per-tenant, or schema-per-tenant), user authentication tables, subscription management, and audit logs. Each database type uses its optimal data modeling approach—relational normalization for SQL, document embedding for NoSQL.

How are database queries optimized?

Query optimizations include strategic indexing, N+1 query elimination, query result caching, connection pooling, and prepared statements. SQL databases use EXPLAIN analysis, NoSQL databases optimize index usage. Each implementation follows database-specific performance tuning guidelines.

What scaling strategies are implemented?

Scaling strategies vary by database: SQL databases use read replicas and vertical scaling, MongoDB implements sharding, DynamoDB auto-scales, Redis uses clustering. Boilerplates include connection pooling, caching layers, and schema designs that support horizontal scaling patterns.

How are backups and migrations handled?

Migration systems are database-specific: Prisma for type-safe migrations, Django ORM for Python apps, Active Record for Rails, Flyway for Java. All include version control for schema changes, rollback capabilities, and seed data. Backup strategies use native tools with automated scheduling.