Supabase is Postgres with auth plus storage plus edge functions. Laravel can use Supabase as the Postgres host. Works fine — the Laravel app treats it as a regular Postgres connection string. Supabase-specific features (RLS, realtime) stay on the Supabase side.

Migrations on Postgres?

Laravel's migration system works on Postgres. Some MySQL-ism (zero-downtime ALTER patterns) translate differently — concurrent index creation, partitioning, table rewrites. The audit flags any migrations that would lock production.

pgvector with Laravel?

Yes. pgvector for RAG or semantic search embeds naturally into Laravel apps. Eloquent does not know about vector columns, so I use DB::table with raw SQL for vector queries.

Full-text search — tsvector or Meilisearch?

tsvector for most Laravel apps (no extra vendor, clean integration). Meilisearch when you need faceted search plus typo tolerance at scale (Imohub uses it). Elasticsearch only when search is a first-class feature.

Postgres 16 for greenfield. Postgres 14 to 15 for most existing Laravel apps. Upgrade path documented if you are on 12 or 13.

Laravel + Postgres SaaS delivery

Laravel + Postgres SaaS development — the combo Laravel docs skip

JSONB, CTEs, partial indexes, partitioning. Fintech-proven at GigEasy. Fixed monthly subscription.

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Starting at $3,499/mo · monthly subscription

Who this is for

SaaS founder who picked Laravel plus Postgres (over MySQL) for JSONB, CTEs, and schema robustness.

The pain today

Laravel docs default to MySQL — few Laravel shops know the Postgres-flavored edges.
JSONB is being used as a dumping ground instead of a structured feature.
CTEs and window functions get avoided because Eloquent does not surface them.
Multi-tenant strategy on Postgres is unclear — schema-per-tenant vs row-per-tenant.

The outcome you get

A senior Laravel + Postgres engineer who has shipped this combo at GigEasy.
JSONB used intentionally with indexed paths and schema validation.
CTEs, window functions, and raw SQL used where Eloquent does not fit.
Multi-tenant decision (schema, row, or database-per-tenant) written down.

Why Laravel + Postgres (over Laravel + MySQL)

Postgres features that Laravel teams under-use: JSONB with indexed paths (store sparse-schema data without giving up query performance), CTEs (complex reads with reusable subqueries — clearer than nested subselects), partial indexes (index only rows that match a condition — huge savings on multi-tenant tables), window functions (ranking, running totals — clean SQL without application logic), strict typing (Postgres does not silently coerce 'abc' to 0 like MySQL does), and full-text search with tsvector (good enough for many apps — no Elasticsearch needed). Each of those is a reason to pick Postgres, and most Laravel apps use none of them.

GigEasy — Laravel + Postgres in 3 weeks

GigEasy (SITE-FACTS §6) runs Laravel plus PostgreSQL plus Redis plus Docker plus Pulumi plus AWS — shipped in 3 weeks for a Barclays and Bain-backed fintech. Postgres decisions that made 3 weeks possible: JSONB for onboarding payload (indexed on the 3 hot fields, full-text on notes), partial indexes on active-user subsets (80% of reads), denormalized read projections for the dashboard, clean migration history from day one. Same engineer owning Laravel plus Postgres means schema and code match — no discoveries in week 3.

Multi-tenant patterns on Postgres

Three patterns for multi-tenant SaaS on Postgres. Row-level (tenant_id column plus global scope plus RLS policies): cheap, easy, works for most SaaS up to ~10k tenants. Schema-level (one schema per tenant, Laravel's schema selector): better isolation, more operational overhead, works for compliance-heavy SaaS. Database-level (one database per tenant): strongest isolation, heavy ops, only for enterprise compliance. The audit recommends based on your actual tenant count, compliance requirements, and team capacity.

Pricing and guarantees

Applications subscription at $3,499 per month flat. 2 to 4 day delivery cycles. Daily async updates. 14-day money-back. Cancel anytime. Work Made for Hire.

Recent proof

A comparable engagement, delivered and documented.

Startup MVP Development

Built and shipped an investor-ready MVP from scratch

Built the entire technological base and delivered MVP in just 3 weeks, enabling a successful rapid launch and investor demo.

FintechMVP in 3 weeksInvestor-ready demoSeed funding enabled

Read the case study

Frequently asked questions

The questions prospects ask before they book.

Laravel + Supabase?: Supabase is Postgres with auth plus storage plus edge functions. Laravel can use Supabase as the Postgres host. Works fine — the Laravel app treats it as a regular Postgres connection string. Supabase-specific features (RLS, realtime) stay on the Supabase side.
Migrations on Postgres?: Laravel's migration system works on Postgres. Some MySQL-ism (zero-downtime ALTER patterns) translate differently — concurrent index creation, partitioning, table rewrites. The audit flags any migrations that would lock production.
pgvector with Laravel?: Yes. pgvector for RAG or semantic search embeds naturally into Laravel apps. Eloquent does not know about vector columns, so I use DB::table with raw SQL for vector queries.
Full-text search — tsvector or Meilisearch?: tsvector for most Laravel apps (no extra vendor, clean integration). Meilisearch when you need faceted search plus typo tolerance at scale (Imohub uses it). Elasticsearch only when search is a first-class feature.
Postgres version?: Postgres 16 for greenfield. Postgres 14 to 15 for most existing Laravel apps. Upgrade path documented if you are on 12 or 13.

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