Queries that were fast at launch have slowed down significantly as data volume and traffic have grown.
Service
Databases designed to stay fast as your data grows.
We design schemas, write migrations, and tune queries for both SQL and NoSQL systems, so performance and data integrity hold up as record counts and traffic grow well past launch-day volumes.
Database build flowActive
- Data modelingEntities, relationships, constraints
- 02Schema and migrationsVersioned, reversible changes
- 03Indexing and tuningQuery performance under load
- 04Backup and replicationRecovery and availability plan
- 05MonitoringQuery and health visibility
Why teams come to us
What this service helps you solve
The schema was never properly normalized, and data integrity issues keep surfacing in production.
Migrations are risky or manual, and no one is confident running a schema change against production data.
There is no backup, replication, or recovery plan if the primary database goes down.
Deliverables
What’s included
Data modeling and schema designSQL databases (PostgreSQL, MySQL, SQL Server)NoSQL databases (MongoDB, DynamoDB, Redis)Migration scripts and versioned schema changesIndexing and query optimizationBackup, replication, and disaster recovery planningData integrity constraints and validationQuery and performance monitoring
Process
How the service works
- 01
Model entities, relationships, and constraints against real usage patterns
- 02
Design the schema and write versioned, reversible migrations
- 03
Index and tune queries for the load the system actually sees
- 04
Set up backup, replication, and a disaster recovery plan
- 05
Monitor query performance and data health on an ongoing basis
Roles
Roles that may support this service
Database EngineerBackend DeveloperDevOps EngineerTech Lead
Final roles are recommended after discovery.Discovery before SOW
Discovery comes before every reliable statement of work.
Before we recommend roles, timelines, or pricing, we need to understand your goals, technology stack, product situation, scope, risks, and constraints. Discovery helps us align expectations and create a realistic statement of work.
What discovery documents
- Business goals
- Product goals
- Technology stack
- Current situation
- Required roles
- Timeline expectations
- Budget expectations
- Risks and unknowns
- Success criteria
FAQ
Questions about this service
Yes. We work with PostgreSQL, MySQL, and SQL Server as well as MongoDB, DynamoDB, and Redis, and help choose the right fit for your data and access patterns during discovery.
Often, yes. Most performance issues come down to indexing, query patterns, or schema design that can be improved incrementally rather than requiring a rebuild.
We write versioned, reversible migrations and test them against production-like data before they run against your live database.