Databases
Database design, optimization and administration. SQL, NoSQL — we pick the right tool for the job.
Service philosophy
The database is the foundation of an application — poorly designed, it stops growth in 6 months. We design schemas with scale in mind, indexes for real queries, backups for real disaster recovery.
What this service covers
Cooperation stages
Current schema audit
Top-N slowest queries, missing indexes, anti-patterns
Quick wins (1-2 weeks)
Most painful queries fixed quickly
Long-term refactoring
Phased fixes with tests, no production changes on Friday
Ongoing maintenance
Monthly performance reports, alerts on new slow queries
Most frequently asked questions
01PostgreSQL or MongoDB?
PostgreSQL for transactions and relations (ACID, JOIN, mature ecosystem). MongoDB for documents with variable structure (CMS, events). Often a mix.
02When do you need Redis?
Cache (when the same data is read > 100×/min), session store, rate limiting, pub-sub. Cheap and fast addition to the main database.
03Schema migration without downtime — how?
Pattern: expand → migrate → contract. First add new column/table, code writes to both, migrate data in background, switch reads, then remove old. Zero downtime.
Databases — let's talk
Free project quote. Audit of the current state and a concrete next-step proposal.