Database Design & Architecture Built for Scale and Speed

Our database design and optimization services turn the data layer from a bottleneck into the fastest part of your stack. From our base in Vadodara, India, we design relational schemas in PostgreSQL and MySQL and model document stores in MongoDB, Redis, and DynamoDB for teams across the UK, South Africa, and Ivory Coast. Every engagement starts with the access patterns — how the application actually reads and writes — because a schema that ignores query shape ages badly. We normalise where integrity matters, denormalise where read speed matters, and index deliberately rather than by guesswork. Whether you are launching a custom web app or hardening the backend behind a SaaS product, the data model is the decision you live with longest, so we get it right early.

Optimising Queries and Schemas That Already Exist

Most teams reach us with a database that has quietly slowed down under real traffic. We run EXPLAIN ANALYZE on the worst offenders, hunt down missing indexes and N+1 patterns, and add caching layers where they earn their keep — tuning that regularly delivers a three-to-ten-times improvement. This work pairs naturally with broader performance optimization, and it feeds the reliability of any API layer sitting on top of your data.

Migrations, Sharding, and Scaling Without Downtime

Growth breaks naive schemas. We handle migrations with an expand-contract approach — adding before removing, guarding changes behind feature flags, and running Flyway or Liquibase with tested rollback scripts, using tools like gh-ost for large tables. When single-node limits arrive, we design partitioning and sharding strategies that keep high-volume tables fast, which matters as much for a microservices architecture as for a monolith carrying years of data. If your database is holding the product back, tell us where it hurts and we will map the fix.