Database Architecture
The database is the part of your software that is hardest to change later. A clear data model, sensible indexes and a migration and backup plan prevent the slow pages, data errors and risky rewrites that hold growing products back.
We design and optimise databases on PostgreSQL, MySQL and MongoDB, whether you are starting a new product or fixing performance in one that has outgrown its original design.
Schemas that reflect your business accurately and keep data consistent.
Query analysis and indexing to speed up slow pages and reports.
Safe, versioned schema changes and moves between database systems.
Automated backups and a tested plan for restoring data.
Secure separation of customer data for SaaS products.
Structures that make business reporting fast without slowing the product.
Step 01
Model the real entities and rules of your business before choosing tables or collections.
Step 02
Relational, document or both — chosen for your data, not by habit.
Step 03
Versioned migrations so the schema can evolve without downtime surprises.
Step 04
Access controls, backups and restore tests from day one.
PostgreSQL is usually the best default for business data with clear relationships and transactions. MongoDB suits flexible, document-shaped data. Many products use one primary database; we recommend based on your data and queries.
Yes. We profile slow queries, add or adjust indexes, restructure problem tables and add caching where it helps, starting with the changes that give the biggest improvement.
Yes. We plan and test migrations carefully, including data cleaning and validation, so the new system starts with accurate data.
Tell us what you're building. We reply within one business day with questions and next steps.