PostgreSQL databases built for correctness and scale
PostgreSQL is an open-source relational database with strong transactional guarantees, a rich SQL dialect and a large extension ecosystem. It is our default choice when data integrity matters and the shape of the data is well understood.
PostgreSQL handles complex joins, constraints, JSON columns, full-text search and geospatial queries (via PostGIS) in one engine, which often removes the need for extra infrastructure. The trade-offs are operational: it needs sensible indexing, connection pooling and vacuum tuning under heavy write loads. For very simple key-value workloads or truly global low-latency writes we may suggest Redis or DynamoDB alongside it, and for tiny embedded use cases SQLite is usually the better fit.
What we build with PostgreSQL
- Relational schema and index design
- Zero-downtime migrations
- Query and performance tuning
- Replication, backups and recovery plans
- Migrating from MySQL, SQL Server or Oracle
PostgreSQL questions
Is PostgreSQL suitable for large production systems?
Yes. It runs many large, high-traffic systems. Performance depends mostly on schema design, indexing and connection management, which we plan from the start.
Can PostgreSQL replace a separate search or vector database?
Often, for moderate volumes. Built-in full-text search and the pgvector extension cover many needs; we recommend a dedicated engine only when scale or features demand it.
How do you back up a PostgreSQL database?
We combine regular base backups with continuous write-ahead log archiving, which allows point-in-time recovery to a specific moment. Restores are tested on a schedule, because an untested backup is only a hope.
How does PostgreSQL scale as traffic grows?
Most systems scale first through better indexes, query fixes and connection pooling with a tool such as PgBouncer. After that, read replicas take reporting and read-heavy traffic, and partitioning helps with very large tables.
Can you change a PostgreSQL schema without taking the application offline?
Yes, in most cases. We use techniques such as creating indexes concurrently, adding nullable columns first and backfilling data in batches, so long-running locks do not block live traffic.
How do you find slow PostgreSQL queries?
We enable the pg_stat_statements extension to see which queries consume the most time, then read their plans with EXPLAIN ANALYZE. That usually points to a missing index, a poor join order or an unbounded query.
Should we use a managed PostgreSQL service or run our own?
Managed services on the major clouds handle backups, patching and failover, which suits most teams. Self-hosting gives more control over extensions and configuration but needs someone responsible for operations.
How is data in PostgreSQL kept secure?
We use TLS for connections, least-privilege roles, encrypted storage and, where tenants share tables, row-level security policies. Credentials stay in a secrets manager rather than in code.
Can PostgreSQL store JSON data?
Yes. The JSONB type stores structured documents that can be indexed and queried, which is useful for flexible attributes alongside normal relational columns. We still model core, frequently queried fields as proper columns.
Are there licence costs for PostgreSQL?
No. PostgreSQL uses a permissive open-source licence, so there is no per-core or per-user fee. Your costs are hosting and the time needed to run it well.
More databases technologies
Have a project in mind? Let’s talk.
Tell us what you are building. We reply within one business day with next steps — and we are happy to sign an NDA first.