Explore 18 boilerplates in this collection. Find the perfect starting point for your next project.
Scalable and production-ready SaaS starter kit for Next.js, Nuxt, and SvelteKit.
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The Simple, Speedy & Efficient Next.js Boilerplate
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A Next.js SaaS boilerplate with all key features for your SaaS startup
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Ready made repository for launching niche data as a service products
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Modern full-stack Next.js & GraphQL boilerplate with user authentication, subscription payments, teams and more
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The Beginner's Ultimate Boilerplate to Accelerate Your SaaS
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NextJS SaaS Boilerplate with Authentication, Database, Payments, and more
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Remix SaaS boilerplate with authentication, payments, and more to launch quickly.
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An open-source starter kit for building multi-tenant SaaS applications
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Showing 9 of 18 boilerplates
Prisma provides a powerful data storage solution with specific transaction models, indexing strategies, and query capabilities suited for SaaS applications. Our Prisma boilerplates implement database-native features—from ACID transactions to advanced indexing—with schemas optimized for Prisma's query engine and scaling characteristics.
Prisma boilerplates are designed around the database's data modeling approach and transaction semantics. They leverage Prisma-specific features like JSONB columns, full-text search, aggregation pipelines, or partition keys depending on the database type. The schema design follows Prisma's best practices for normalization (SQL) or document structure (NoSQL), with strategic indexes on query-heavy columns. Migration systems use Prisma-native tools for version-controlled schema evolution.
Browse our collection of 18 Prisma 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.
Prisma 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 Prisma's strengths—whether that's PostgreSQL's JSONB, MySQL's full-text search, MongoDB's aggregation pipeline, or Redis's data structures.
Prisma boilerplates include production-tested schemas for multi-tenancy, user management, subscriptions, and billing. The design follows Prisma'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 Prisma's query engine.
Prisma boilerplates implement database-specific query optimizations including strategic indexing on frequently queried columns, query plan analysis, proper use of Prisma's query features (prepared statements, query builders, aggregations), and N+1 query prevention. Connection pooling is configured for Prisma's optimal settings, and caching layers are positioned to reduce database load while maintaining data consistency.
Prisma 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 Prisma's scaling patterns—whether that's PostgreSQL's logical replication, MongoDB's sharding, or DynamoDB's automatic partitioning.
Prisma boilerplates include migration systems using database-specific tools (Prisma migrations, Django migrations, Flyway, Liquibase, or native tools). They follow Prisma's best practices for zero-downtime deployments, backward-compatible schema changes, and data migrations. Backup strategies leverage Prisma's native backup features (pg_dump, mysqldump, mongodump) with automated scheduling and point-in-time recovery configurations.