// praxis
Database Design and Development
The database is the foundation of any application. Poor schema design, missing indexes, and unoptimised queries accumulate into a system that is slow, brittle, and expensive to change. Praxis designs databases correctly from the start and fixes the ones that were not.
Relational and document databases
PostgreSQL and MySQL for relational data — proper normalisation, constraints, indexes, and migrations. MongoDB for document-oriented workloads where the schema flexibility is genuinely needed. Redis for caching, sessions, and queues. The right database for the workload, not the same choice for every project.
Schema design and migrations
A schema is a long-term commitment. Praxis designs schemas that reflect the domain accurately, can evolve without pain, and perform well at scale. Migrations that are zero-downtime, reversible, and tested before they touch production.
Performance and optimisation
Slow queries are the most common cause of slow applications. Praxis identifies problem queries using EXPLAIN ANALYZE, adds appropriate indexes, rewrites inefficient joins, and addresses N+1 patterns at the ORM layer — not just the database layer.
question
Which database should I use for my project?
PostgreSQL for almost everything. It handles relational data, JSON documents, full-text search, vector embeddings (pgvector), and geospatial data. MongoDB for workloads with truly dynamic, schema-less data. Redis for caching and ephemeral data. Praxis recommends based on your specific requirements.
question
Can you migrate our data from one database to another?
Yes. Praxis handles database migrations — schema transformation, data migration scripts, and validation to ensure data integrity is preserved throughout.
Ready to discuss your project? Send a brief and we will be in touch within 24 hours.
or email hello@praxis.best — reply within 24 hours.