App & Software
Database Architecture
Klikcy designs databases that don't become the bottleneck — clean schemas, smart indexes and migration discipline.
Overview
Built for teams that need velocity without sacrificing quality.
Below is exactly what we scope, ship, and measure — so you always know what “done” looks like.
Who this is for
- Growing SaaS
- Data-heavy apps
- Slow legacy databases
What's included
- Schema design
- Index strategy
- Migrations and partitioning
- Read replicas and caching
Technical foundation
- Postgres, MySQL
- Prisma, Drizzle, raw SQL
- pgvector for AI
Frequently Asked Questions
Postgres or MySQL?
We default to Postgres for richness; MySQL when it fits.
Multi-tenancy strategies?
Shared schema with RLS, schema-per-tenant, or DB-per-tenant — we pick by scale and isolation needs.
Do you handle migrations?
Yes — zero-downtime migrations are a specialty.
AI/vector workloads?
Yes — pgvector and dedicated vector DBs.
Reporting/analytics?
Yes — read replicas, materialized views or warehouses.
Locations
Database Architecture — state landing hubs
Explore how this service is positioned for priority U.S. markets. Each hub opens a state-level narrative, proof, and CTA tuned for local intent.
Metro depth
Database Architecture in major U.S. cities
City pages for high-intent local discovery — structured entities, service-specific copy, and internal links that reinforce your category.
California
8 metrosColorado
5 metrosConnecticut
15 metrosFlorida
7 metrosGeorgia
5 metrosIllinois
5 metrosMaryland
5 metrosMassachusetts
6 metrosNevada
3 metrosNew Jersey
21 metrosNew York
22 metrosNorth Carolina
5 metrosPennsylvania
16 metrosTexas
7 metrosVirginia
7 metrosWashington
5 metrosWashington DC
5 metrosNext step
Tell us about timelines, stakeholders, and success metrics — we'll translate them into a scoped engagement.