The database that handles everything you throw at it

PostgreSQL for production workloads. Schema design, query optimization, row-level security, pgvector for embeddings, and the operational patterns that keep your database fast at scale.

Why PostgreSQL

More than a relational database

PostgreSQL handles JSON, full-text search, vector embeddings, geospatial data, and time-series. One database that replaces three or four specialized systems without sacrificing performance.

Row-level security for multi-tenancy

Tenant isolation enforced at the database level, not the application level. Policies that guarantee data separation regardless of what the application code does. One wrong query can't leak data across tenants.

Performance that scales with your data

Proper indexing strategies, query plan analysis, connection pooling with PgBouncer, and partitioning for tables that grow beyond billions of rows. We optimize based on actual query patterns, not textbook rules.

What We Build

Schema design and migrations

Normalized schemas with strategic denormalization where read performance demands it. Migration strategies that work with zero-downtime deployments and reversible changes.

pgvector and semantic search

Vector embeddings stored alongside relational data. Hybrid queries that combine semantic similarity with structured filters. No separate vector database needed for most use cases.

Query optimization

EXPLAIN ANALYZE on real production queries. Index tuning, CTE optimization, and materialized views for complex aggregations. We find the queries that cost you the most and fix them.

High availability and replication

Streaming replication, read replicas, automated failover, and point-in-time recovery. Database infrastructure that survives hardware failures without data loss.