Database Design & Optimization

The right data structure from day one.

We design and optimize application databases, from PostgreSQL and MySQL schemas to query performance, indexes and migrations. Our Orlando-based team supports local and remote clients, with the scope defined around your application and data access patterns.

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What you receive

Database consulting for the application that runs your business: PostgreSQL or MySQL schema design, relational modeling, query and index tuning, and migrations. We also assess NoSQL options where the access pattern calls for them. This work focuses on operational records and application workloads, rather than a separate reporting warehouse.

A database model matched to application workflows and access patterns
Schema, relationship and index decisions with documented tradeoffs
Migration and validation steps agreed around the existing application

The scope can be a new application database or a targeted review of an existing slow database. Access, representative queries, data volume and deployment constraints determine what can be evaluated and changed.

Our Orlando-based team can meet Central Florida clients for discovery and architecture reviews; implementation is also available remotely across North America. Meet our Orlando team.

If the goal is to combine CRM, finance or marketing data for reporting, explore data warehouse architecture and API integration.

For a B2B fintech MVP, we built a React frontend and Node backend connected to a PostgreSQL database, with data ingestion from API partners. The application supported investor demonstrations and early-customer onboarding. Request case details.

What's included

Relational database design (PostgreSQL, MySQL)

NoSQL database implementation (MongoDB, DynamoDB)

Database performance optimization and indexing

Data collection form and pipeline design

Event tracking and behavioral data collection

Database migration and version management

Ready to get started?

Book a free consultation to discuss your needs. No commitment required.

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How we deliver database design & optimization

Scope, measurement, implementation and handover, agreed around your business needs.

Map application workflows

Identify the records the application reads and updates, expected data volumes, permissions and the queries that matter to users.

Design the database model

Choose the relational or NoSQL approach that fits the access patterns. Define entities, relationships, constraints and ownership before implementation.

Build and validate the schema

Implement tables or collections and test representative application workflows. Check record integrity and permission boundaries against agreed requirements.

Plan migration and release

Document migration, validation and rollback steps around the existing application. Agree on deployment access and any maintenance window.

Measure performance and hand over

Compare representative query timings, review indexes and document operating responsibilities. Scope ongoing support separately where needed.

Frequently asked questions

When should I use a relational vs NoSQL database?

Relational databases (PostgreSQL, MySQL) are ideal for structured data with complex relationships. NoSQL databases (MongoDB, DynamoDB) excel for flexible schemas, high-volume writes, and unstructured data.

Can you optimize our existing slow database?

Yes. We review representative queries, indexes, schemas and workload patterns, then agree on targeted changes and how to measure them. Results depend on the existing database, data volume and application; a fixed speed improvement is not guaranteed.

How is application database design different from data warehouse architecture?

An application database stores the operational records a product or business process reads and updates. A data warehouse combines sources for reporting and analysis. We scope these separately so application performance and reporting requirements do not get confused.