Databases
PostgreSQL Built to Last
PostgreSQL combines strict relational rigor with flexible data types. We use it to build data layers that stay correct as applications grow.
Overview
PostgreSQL
PostgreSQL is an open source relational database known for standards compliance, transactional integrity and extensibility. It supports advanced indexing (B-tree, GIN, GiST, BRIN), JSONB for semi-structured data, full-text search, window functions, CTEs, partitioning and a rich extension ecosystem including PostGIS for geospatial data. It has a reputation for correctness and predictable behavior.
We design schemas around constraints and clear relationships, and use Postgres features where they fit rather than adding extra systems. Our work includes query planning analysis, index strategy, connection pooling with PgBouncer, replication, and managed deployments on RDS, Cloud SQL or Azure. We also migrate from other databases and plan version upgrades carefully, testing extensions and application behavior first.
Context
Why teams choose it
- 01
Strong data integrity
Rich constraints, transactional DDL and strict typing help keep data correct as the application evolves.
- 02
Relational plus flexible
JSONB lets you mix structured tables with semi-structured data in one engine.
- 03
Extensible by design
Extensions such as PostGIS, pg_trgm and TimescaleDB add specialized capabilities without a separate database.
- 04
Open source with no license fees
A permissive license and active community keep long-term costs and lock-in lower.
Capabilities
What we build with it
- 01
Data modeling
Normalized schemas with constraints, enumerations and well-chosen keys.
- 02
JSONB and search
Indexed JSONB documents and full-text or trigram search where it fits the use case.
- 03
Geospatial work
PostGIS-based location queries, routing inputs and mapping data stores.
- 04
Performance tuning
EXPLAIN ANALYZE reviews, indexing, vacuum and autovacuum configuration, and connection pooling.
- 05
Replication and backup
Streaming replication, point-in-time recovery and failover planning.
- 06
Migration and upgrades
Moving from MySQL, SQL Server or Oracle, and major-version upgrades with testing.
Typical projects
- SaaS multi-tenant databases
- Location-aware applications with PostGIS
- Analytics-friendly application databases
- Migrating off a proprietary database
- Event and time-series storage
Ecosystem & tooling
- PostgreSQL
- PostGIS
- PgBouncer
- pgAdmin
- Amazon RDS
- Cloud SQL
- TimescaleDB
- pg_stat_statements
Approach
How we work with it
- 1
Assess
We review your goals and any existing code to decide where this technology fits best.
- 2
Architect
We plan structure, integrations, data flow and hosting before writing production code.
- 3
Build
Features ship in small, reviewed increments with automated checks along the way.
- 4
Release & maintain
We deploy, monitor and keep dependencies and versions up to date.
FAQs
Common questions
Have a question that is not covered here? Get in touch.
Why choose PostgreSQL over MySQL?
PostgreSQL offers richer SQL features, stronger constraint support and a deep extension ecosystem. MySQL is simpler and equally capable for many web workloads, so the decision depends on your requirements.
Can PostgreSQL replace a document database?
For many workloads, JSONB gives enough flexibility with transactions and joins. If you need automatic horizontal sharding of huge document sets, a dedicated document store may fit better.
Does PostgreSQL scale?
It scales vertically very well and horizontally for reads through replicas. Write scaling beyond one node needs partitioning or extensions such as Citus, which we evaluate case by case.
Can you migrate our existing database to PostgreSQL?
Yes. We map schemas and data types, convert procedural code, run test loads and plan a cutover. Vendor-specific features may need redesign rather than direct translation.
Let's build what's next
Tell us about your idea, product or legacy system. Send us a message and we will help you scope the right next step.