What services does A Major offer?

A Major offers web design, web app development, mobile app development (React Native, Swift, Flutter), SaaS product development, enterprise systems, UI/UX design, DevOps, performance optimization, MCP server development, AI agent infrastructure, MVP scoping, digital transformation, and engineering consultancy.

Where is A Major based?

A Major is based in Singapore and works with clients worldwide.

Do you work with international clients?

Yes. While headquartered in Singapore, A Major works with founders and businesses across Southeast Asia, Europe, and North America.

Ryu is an AI agent orchestration layer built by A Major. It enables teams to run, coordinate, and monitor AI agents at scale — connecting LLMs, tools, and workflows into reliable production systems.

Do you build MCP servers?

Yes. A Major builds Model Context Protocol (MCP) servers that connect AI agents to databases, APIs, and internal tools, enabling reliable LLM-powered workflows in production environments.

How much does PostgreSQL development cost?

PostgreSQL itself is free and open-source. Development costs depend on project scope — a simple CRUD backend with Postgres might take 2-4 weeks, while a complex multi-tenant SaaS with RLS, full-text search, and replication takes 8-16 weeks. Managed hosting (Neon, Supabase, RDS) starts from free tiers up to hundreds per month for production workloads.

PostgreSQL vs MySQL — which should I choose?

PostgreSQL excels at complex queries, JSONB, full-text search, and extensibility. MySQL is simpler to operate and dominates in PHP/WordPress ecosystems. For new TypeScript projects, we recommend PostgreSQL for its richer feature set and better ORM support (Prisma, Drizzle).

Can PostgreSQL handle millions of rows?

Absolutely. PostgreSQL handles billions of rows with proper indexing, partitioning, and query optimization. Instagram runs on PostgreSQL at massive scale. The key is correct schema design, appropriate indexes, and connection pooling.

Is PostgreSQL good for serverless?

Yes, with the right setup. Neon provides serverless Postgres with auto-scaling and branching. Supabase wraps Postgres with instant APIs. Both handle the connection pooling that traditional Postgres needs for serverless workloads.

PostgreSQL DatabaseThe world's most advanced open source database

PostgreSQL is our default relational database — battle-tested, feature-rich, and capable of handling everything from simple CRUD to complex analytical queries with JSON support, full-text search, and extensions.

PostgreSQL is the most advanced open-source relational database, trusted by companies like Apple, Instagram, and Spotify for mission-critical workloads. It supports ACID transactions, advanced indexing (B-tree, GIN, GiST, BRIN), JSONB for semi-structured data, full-text search, and a rich extension ecosystem including PostGIS and pgvector. Whether you're building a SaaS platform, an analytics pipeline, or a real-time application with Supabase, PostgreSQL provides the reliability and feature depth to handle it all — from a single-node dev database to globally replicated clusters with Neon or Citus.

Quick start

bash

# Install PostgreSQL locally
brew install postgresql@16
brew services start postgresql@16

# Create a database
createdb myapp

# Or use Neon serverless
npx neonctl projects create --name myapp

Read the full documentation at www.postgresql.org/docs/current/

ACID transactions

Full transaction support with savepoints, isolation levels, and deadlock detection.

JSON & JSONB

Store and query semi-structured data natively alongside relational data — no separate document store needed.

Full-text search

Built-in FTS with tsvector and GIN indexes — fast, ranked search without Elasticsearch.

Advanced indexing

B-tree, Hash, GiST, GIN, and BRIN indexes — the right index for every query pattern.

Serverless with Neon

Neon brings autoscaling, branching, and instant scale-to-zero to Postgres — perfect for modern apps.

Row-level security

Fine-grained access control at the database level — multi-tenant data isolation built in.

Why it's hard

Connection management at scale

Serverless and edge deployments can exhaust PostgreSQL's connection limit. Connection poolers like PgBouncer or Neon's built-in pooling are essential for high-concurrency apps.

Schema migrations in production

ALTER TABLE on large tables can lock reads and writes. Safe migration strategies — like creating indexes concurrently and using expand-contract patterns — prevent downtime.

Query performance tuning

Slow queries often stem from missing indexes, bloated tables, or suboptimal join plans. EXPLAIN ANALYZE and pg_stat_statements are your primary diagnostic tools.

Backup and disaster recovery

Point-in-time recovery with WAL archiving, pg_basebackup, and tested restore procedures are non-negotiable for production databases.

Best practices

Use connection pooling

PgBouncer or Neon's serverless driver prevent connection exhaustion in serverless environments.

Create indexes concurrently

Use CREATE INDEX CONCURRENTLY to avoid locking writes during index creation on live tables.

Enable pg_stat_statements

Track slow queries, execution counts, and mean time per query — essential for ongoing performance tuning.

Use row-level security for multi-tenancy

RLS policies enforce tenant isolation at the database level, preventing accidental data leaks in shared-schema designs.

Useful resources

PostgreSQL Official Documentation PostgreSQL Tutorial Neon Serverless Postgres PostgreSQL Community

Frequently asked questions

Prisma

Next-generation ORM for Node.js and TypeScript

Drizzle ORM

TypeScript ORM that stays out of your way

Supabase

Open source Firebase alternative on Postgres

Looking for end-to-end delivery? These services complement PostgreSQL projects.

Want to build with PostgreSQL?

Talk to our engineering team about your PostgreSQL architecture. We'll respond within 24 hours.

1 spot available in May 2026Apr 2026 fully booked

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PostgreSQL DatabaseThe world's most advanced open source database