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Keel vs prisma-sql
Keel provides a full backend platform, while prisma-sql only accelerates Prisma reads.
Side by side
- What it is
- Keel:Keel provides a code-first backend platform with instant internal tools, schema-driven APIs, and full-stack operations features.
- prisma-sql:prisma-sql speeds up Prisma read queries by generating SQL and executing it via postgres.js or better-sqlite3.
- Best for
- Keel:Code-first backend with built-in internal tools
- prisma-sql:Accelerated Prisma read queries
- Who it’s for
- Keel:Engineers building operational backends and internal tools for fast-moving teams
- prisma-sql:Node.js developers using Prisma for PostgreSQL or SQLite who need faster read performance.
- Pricing
- Keel:Contact sales
- prisma-sql:Freemium
- Plans
- Keel:—
- prisma-sql:Free $0 · Pro $7 per month · Teams $7 per user per month
- Open source
- Keel:—
- prisma-sql:Yes, 22 GitHub stars
- Works with
- Keel:VSCode extension
- prisma-sql:Prisma Client, postgres.js, better-sqlite3
- DevHunt upvotes
- Keel:46
- prisma-sql:6
- Launched on DevHunt
- Keel:Mar 2024
- prisma-sql:Mar 2026
Keel features
- Schema-driven data model. Define data models, actions, and permissions in a clear schema that generates APIs and internal tools.
- TypeScript extensions. Write custom functions, jobs, and durable functions in TypeScript with full type safety.
- Version-controlled environments. Create multiple environments, branch deployments, and PR previews with audit trails.
- Built-in testing framework. Generate type-safe end-to-end tests from the schema for actions, functions, and jobs.
- Instant internal tools. Automatically generate UI tools for ops teams that stay in sync with schema changes.
- Serverless infrastructure. Managed, multi-region PostgreSQL and serverless runtime scales from first to millionth user.
prisma-sql features
- Runtime SQL generation. Converts supported Prisma read queries into SQL at runtime.
- Prebaked hot queries. Allows @optimize annotations to generate SQL at build time for hot query shapes.
- PostgreSQL batch queries. Combines multiple read queries into a single round-trip using Prisma $batch.
- Include & relation reduction. Optimizes includes with flat joins, where-in loading, or correlated subqueries.
- Large to-many include protection. Detects large child tables and switches to batched where-in loading to avoid expensive scans.
- Aggregate type handling. Maps aggregate results back to Prisma-style types like Decimal, BigInt, and DateTime.
Based on each tool's website and DevHunt data. Details may change; check the official sites.

