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Model Manager Laravel Package

pomm-project/model-manager

PHP model manager for Pomm: manage models, mapping and persistence for PostgreSQL in a clean, extensible way. Provides tools to define model classes, query and hydrate results, and integrate data access layers for robust domain-driven apps.

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Product Decisions This Supports

  • Database Abstraction & ORM Flexibility: Enables teams to adopt Pomm (a lightweight PHP database framework) as an alternative to Eloquent/Laravel’s built-in ORM, reducing vendor lock-in while maintaining a clean, active-record-like API. Ideal for projects requiring custom database interactions (e.g., complex queries, stored procedures, or non-relational data models).
  • Roadmap for Multi-Database Support: Justifies investment in Pomm as a foundational layer for future-proofing the stack (e.g., PostgreSQL, MySQL, or even hybrid architectures). Aligns with initiatives to standardize database access across microservices or legacy systems.
  • Build vs. Buy: Avoids reinventing a model-manager layer from scratch, accelerating development for teams already using Pomm. Reduces technical debt compared to custom solutions or heavy ORMs like Doctrine.
  • Use Cases:
    • Legacy System Modernization: Migrate monolithic apps to modular services with Pomm’s simplicity.
    • Data-Intensive Applications: Optimize performance for read-heavy workloads (e.g., analytics, reporting) where raw SQL or query builders outperform Eloquent.
    • Polyglot Persistence: Integrate Pomm with other tools (e.g., GraphQL, gRPC) while keeping the model layer consistent.
    • Developer Experience: Attract PHP developers familiar with Laravel’s Eloquent by offering a familiar but lightweight alternative.

When to Consider This Package

  • Adopt if:

    • Your team is already using Pomm or evaluating it as a replacement for Eloquent/Dbal.
    • You need fine-grained control over SQL generation (e.g., for stored procedures, CTEs, or window functions).
    • Your project prioritizes performance over ORM conveniences (e.g., micro-optimizations, bulk operations).
    • You’re building a modular monolith or microservices where database abstraction is critical but Eloquent’s overhead is prohibitive.
    • Your stack includes PostgreSQL-specific features (e.g., JSONB, hstore) that Pomm natively supports.
  • Look elsewhere if:

    • You’re deeply invested in Laravel’s ecosystem (e.g., using Spatie, Nova, or Forge) and need seamless integration with Eloquent.
    • Your team lacks PHP/Pomm expertise—the learning curve may outweigh benefits compared to Doctrine or Eloquent.
    • You require advanced caching (e.g., query result caching) or multi-database transactions out-of-the-box (Pomm is lower-level).
    • Your project needs real-time features (e.g., WebSockets, event sourcing) where Laravel’s ecosystem (e.g., Echo, Laravel Livewire) is more mature.
    • You’re targeting MySQL-only environments where Pomm’s PostgreSQL optimizations are irrelevant.

How to Pitch It (Stakeholders)

For Executives: "This package lets us leverage Pomm, a lightweight PHP database framework, to build a scalable, high-performance data layer without the bloat of traditional ORMs. By adopting pomm-project/model-manager, we can:

  • Reduce costs by avoiding proprietary tooling (e.g., Eloquent’s Laravel lock-in).
  • Future-proof our stack for PostgreSQL-heavy workloads (e.g., analytics, geospatial data).
  • Accelerate development for data-intensive features by reusing a battle-tested model layer. It’s a strategic bet on Pomm’s growth—similar to how Laravel’s Eloquent became a standard, but with more control and less overhead."

For Engineering: "This is a drop-in model manager for Pomm that gives us:

  • Eloquent-like syntax without Laravel’s dependencies (e.g., Model::where()->get()).
  • Direct SQL control for complex queries (e.g., DBAL under the hood).
  • PostgreSQL superpowers (JSONB, arrays, custom types) out of the box. Perfect for:
  • Teams migrating from Eloquent to a lighter, more flexible ORM.
  • Projects needing custom database logic (e.g., stored procedures, bulk inserts).
  • Microservices where database portability is key. Trade-off: Slightly steeper learning curve if you’re new to Pomm, but the payoff is performance and flexibility."*
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