PostgreSQL Services
We design, optimize, and maintain PostgreSQL databases for production applications. PostgreSQL's depth — JSONB, full-text search, custom types, extensions — rewards teams that use it deliberately rather than treating it as a simple row store.
Capabilities
What we do with PostgreSQL
Types · Constraints · Partitioning
Advanced Schema Design
Schema design that uses PostgreSQL's type system correctly: custom domains, composite types, enums, and table inheritance. We design for correctness first, then optimize for the query patterns.
Document storage
JSONB and Semi-Structured Data
Using JSONB columns with GIN indexes for semi-structured data that does not fit cleanly into a relational model, without abandoning the transactional guarantees of a relational database.
tsvector · tsquery
Full-Text Search
Building full-text search into the database layer using tsvector, tsquery, and GIN indexes. We design the search configuration, stemming dictionaries, and ranking weights before building the application integration.
pgvector · PostGIS · TimescaleDB
Extension Integration
Integrating PostgreSQL extensions for vector similarity search (pgvector), geospatial queries (PostGIS), and time-series data (TimescaleDB) into production schemas.
Streaming · Logical
Replication and High Availability
Streaming replication for read scaling and failover, and logical replication for selective data movement between databases or for feeding downstream consumers without a full replica.
MySQL · DB2 · Oracle → PG
Migration and Platform Move
Migrating to PostgreSQL from MySQL, Oracle, DB2, or SQL Server. We handle SQL dialect conversion, data type mapping, constraint recreation, and application-layer changes.
Our approach
Use the type system
PostgreSQL has a richer type system than most relational databases. Storing a UUID as a varchar when a uuid column type exists, or storing an IP address as a string when inet exists, is an unnecessary compromise. We use the right types from the start because changing them later is expensive.
Connection pooling is not optional
PostgreSQL spawns a process per connection. Applications that open hundreds of connections directly to PostgreSQL will exhaust it. We configure PgBouncer or use the managed connection pooling provided by RDS and Supabase as a standard part of every production deployment.
VACUUM and autovacuum matter
PostgreSQL's MVCC implementation means that dead tuples accumulate and must be cleaned up. We configure autovacuum correctly for the table's write volume, monitor bloat, and understand when manual VACUUM is necessary, because ignoring it produces performance degradation that looks confusing without this context.
Explain Analyze, not Explain
EXPLAIN shows what the planner intends to do. EXPLAIN ANALYZE shows what actually happened. We use EXPLAIN ANALYZE to validate that a query plan performs as expected at real data volumes, not just in theory.
All engineering work is done by US-based engineers. We do not offshore any development or architecture work.
Part of our software engineering services. We work across the full stack, cloud platforms, and architectural patterns.
FAQ
Common questions
Virginia · United States
Need PostgreSQL expertise?
If you have a schema to design, a performance problem to solve, or a migration to plan, reach out and we will discuss the requirements before any work begins.