PostgreSQL Databases, Engineered for Reliability
From SaaS platforms to financial ledgers, our AI-managed teams design, optimize, and operate PostgreSQL databases with milestone-based delivery.
Technology: PostgreSQL (Database)
PostgreSQL is our default relational database for applications requiring data integrity, complex queries, and ACID compliance. It powers everything from SaaS platforms to financial systems. Our teams design optimized schemas, write efficient queries, and configure replication and failover for production workloads.
What We Build
- SaaS Platform Databases: Multi-tenant relational databases with row-level security, migration management, and query optimization for complex SaaS workloads.
- Financial & Transactional Systems: ACID-compliant databases for payment processing, ledger systems, and audit-trail applications where data integrity is paramount.
- Analytics & Reporting Backends: Optimized read replicas, materialized views, and partitioned tables for fast analytical queries on large datasets.
Expertise
- PostgreSQL Projects Delivered: 180+
- Largest Database Managed: 2TB+
- Average Query Optimization: 10x improvement typical
- ORM Experience: Prisma, TypeORM, Drizzle
Sample Projects
- Multi-Tenant SaaS Database: PostgreSQL database design with row-level security, tenant isolation, and automated migration pipeline for a B2B SaaS platform. (200 hours)
- Row-level security policies per tenant
- Prisma schema with migration management
- Connection pooling with PgBouncer
- Read replica for reporting queries
- Financial Ledger System: Double-entry accounting database with immutable transactions, balance calculations, and audit trail for a fintech platform. (250 hours)
- Double-entry ledger with trigger-based validation
- Immutable transaction log (append-only)
- Materialized views for balance calculations
- Partitioned tables for historical data
- Geospatial Search Backend: Location-based search system using PostGIS for a real estate platform with polygon-based neighborhood search. (180 hours)
- PostGIS extensions for geospatial queries
- Polygon-based search boundaries
- Spatial indexing for sub-50ms queries
- Integration with Mapbox for visualization
Frequently Asked Questions
- Which ORM do you use with PostgreSQL?
- Prisma is our default for Node.js/TypeScript projects — it provides excellent type safety and migration management. We use Drizzle for performance-critical applications and TypeORM for projects that need fine-grained query control.
- How do you handle database migrations in production?
- We use Prisma Migrate or a similar tool with versioned migration files checked into git. Migrations are tested in staging before production, and we always write backward-compatible migrations to support zero-downtime deployments.
- Do you support managed PostgreSQL services?
- Yes. We deploy to AWS RDS, Google Cloud SQL, Supabase, or Neon depending on your needs. All include automated backups, failover, and monitoring out of the box.