Explore 18 boilerplates in this collection. Find the perfect starting point for your next project.
A comprehensive Next.js SaaS template with pre-configured authentication, billing, and localization
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Laravel SaaS Starter Kit for beginners and pros
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A SaaS starter kit with built-in authentication, payments, and more
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The Laravel SaaS starter kit that gives you the tools to launch your next SaaS today
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Build a fully featured SaaS app with Primate.js and Svelte
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Next.js + Serverless SaaS Starter Kit with Authentication, Payment, Teams, and Dashboards
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Modern Laravel SaaS Starter Kit powered by Laravel Jetstream, Inertia V2, and Shadcn/ui
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The Next.js SaaS Boilerplate for busy developers
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An open-source starter kit for building multi-tenant SaaS applications
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Showing 9 of 18 boilerplates
MySQL provides a powerful data storage solution with specific transaction models, indexing strategies, and query capabilities suited for SaaS applications. Our MySQL boilerplates implement database-native features—from ACID transactions to advanced indexing—with schemas optimized for MySQL's query engine and scaling characteristics.
MySQL boilerplates are designed around the database's data modeling approach and transaction semantics. They leverage MySQL-specific features like JSONB columns, full-text search, aggregation pipelines, or partition keys depending on the database type. The schema design follows MySQL's best practices for normalization (SQL) or document structure (NoSQL), with strategic indexes on query-heavy columns. Migration systems use MySQL-native tools for version-controlled schema evolution.
Browse our collection of 18 MySQL 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.
MySQL 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 MySQL's strengths—whether that's PostgreSQL's JSONB, MySQL's full-text search, MongoDB's aggregation pipeline, or Redis's data structures.
MySQL boilerplates include production-tested schemas for multi-tenancy, user management, subscriptions, and billing. The design follows MySQL'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 MySQL's query engine.
MySQL boilerplates implement database-specific query optimizations including strategic indexing on frequently queried columns, query plan analysis, proper use of MySQL's query features (prepared statements, query builders, aggregations), and N+1 query prevention. Connection pooling is configured for MySQL's optimal settings, and caching layers are positioned to reduce database load while maintaining data consistency.
MySQL 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 MySQL's scaling patterns—whether that's PostgreSQL's logical replication, MongoDB's sharding, or DynamoDB's automatic partitioning.
MySQL boilerplates include migration systems using database-specific tools (Prisma migrations, Django migrations, Flyway, Liquibase, or native tools). They follow MySQL's best practices for zero-downtime deployments, backward-compatible schema changes, and data migrations. Backup strategies leverage MySQL's native backup features (pg_dump, mysqldump, mongodump) with automated scheduling and point-in-time recovery configurations.