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    Technology

    Supabase

    Build backend services with Supabase's PostgreSQL-based platform. We use it for applications needing SQL databases with real-time features and open-source flexibility.

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    Best For

    Ideal use cases

    Projects preferring PostgreSQL

    Applications needing SQL queries

    Teams wanting open-source backend

    Projects requiring real-time subscriptions

    Applications needing row-level security

    What We Build

    Projects we deliver

    SaaS platforms with multi-tenancy

    Web applications with authentication

    Real-time dashboards

    E-commerce platforms

    Content management systems

    API backends

    Admin panels

    Collaboration tools

    Ecosystem

    Compatible tools & integrations

    Seamless Integrations

    Works with your existing stack

    7+ supported
    Supabase Auth for authentication
    PostgreSQL database
    Supabase Storage for files
    Realtime subscriptions
    Row-level security policies
    Supabase Edge Functions
    Supabase CLI for local development

    Use Cases

    Recommended use cases

    Startup MVPs preferring SQL databases

    SaaS platforms needing multi-tenant architecture

    Applications requiring complex queries

    Projects needing open-source solutions

    Web apps with real-time features

    Delivery

    How we deliver

    We structure Supabase apps with proper database schemas and relationships

    Implement row-level security policies for data protection

    Use Supabase Auth for authentication with social providers

    Set up real-time subscriptions for live updates

    Optimize queries and use proper indexes

    FAQ

    Frequently asked questions

    Supabase uses PostgreSQL (SQL) while Firebase uses Firestore (NoSQL). Supabase is better for complex queries and SQL familiarity. Firebase offers more managed services and is faster for simple setups.

    Yes. Supabase is open-source and can be self-hosted. We can set up self-hosted instances for enterprise applications or specific compliance requirements.

    We use Supabase migrations for schema changes. We create migration files, test them locally, and apply them to staging and production environments. We also use version control for migrations.

    AI

    Add AI on top of this stack

    Two common AI services that pair well with this technology, plus a fixed-scope gig to start quickly.

    Vector Database Setup

    Pinecone/Qdrant/Weaviate/pgvector setup with backups and monitoring.

    Hybrid Search & Reranking

    Improve relevance with eval-driven retrieval tuning.

    AI Hybrid Search Upgrade (Gig)

    Vector + reranker upgrade shipped as a fixed-scope pilot.

    Related

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    Backend

    PostgreSQL

    Relational database for production systems

    Transactional systems, analytics-backed applications
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