Normalize with intent
We shape tables to reduce duplication and keep the data model honest, using 3NF as a baseline and bending only when business rules demand it.
Database design that stays calm under growth
Great software starts with a great schema.
A weak database turns every new feature into friction. We design normalized, scalable structures that protect performance, keep relationships clear, and make reporting feel straightforward instead of fragile.
10x
growth-ready structure
ER
diagrams and documentation included
3NF+
when the business logic calls for it
Customers
One record per business contact, with clean identifiers.
Orders
Indexed workflows, linked to accounts and status history.
Invoices
Financial integrity with constraints that actually hold up.
Our design philosophy
Normalization, constraints, and naming clarity keep a system understandable. Why fight your schema later when you can make it usable now?
Protect integrity early
Primary keys, foreign keys, and check constraints aren’t afterthoughts. They’re the guardrails that stop bad data from slipping through.
Build for query patterns
Index strategy is planned alongside the schema so the most common lookups stay quick, even as the table count climbs.
Document what matters
Clear naming, ER diagrams, and handoff notes help your developers own the model without having to guess what a column means.
Schemas we’ve crafted
Different industries, same goal: a relational database that reflects real workflows. What does your current model need to carry safely?
Medical practice
A patient-centred schema with HIPAA-aware audit fields, clean history tracking, and dependable links between encounters, notes, and billing events.
Law firm
A case-management architecture with document relationships, conflict checks, and status rules that make the workflow readable for everyone on the team.
E-commerce startup
A catalog structure ready for millions of SKUs, with room for filtering, pricing rules, and versioned product data that won’t crumble under growth.
Logistics company
A tracking model built for fast status updates, clean event history, and the kind of reporting managers actually use to keep operations moving.
How we design your database
A solid schema comes from a deliberate process. Quick sketches are fine, but what happens when the reporting gets messy or the product changes shape?
1
Discovery workshop
We map your business entities, reporting needs, and everyday workflows so the design starts with reality, not assumptions.
2
Conceptual design
High-level ER diagrams show how the major objects relate, where the boundaries belong, and which terms should stay consistent.
3
Logical design
Tables, keys, and constraints are normalized into a structure your application can trust without extra cleanup logic everywhere.
4
Physical design
We tune indexes, storage choices, and partitioning decisions so performance doesn’t become a surprise six months later.
5
Review and handoff
You get documented schema assets, DDL scripts, and a walkthrough that helps your team work with confidence from day one.
Databases we architect for
Your stack matters. We design for the platform you run now and the one you may need next, without boxing you into a brittle choice.
Relational platforms
- SQL Server and Azure SQL
- PostgreSQL and MySQL
- MariaDB with versioned changes
Cloud-native environments
- Managed instances and serverless patterns
- Schema designs built for remote teams
- Scaling plans that stay readable
App and migration support
- ORM-friendly structures for Entity Framework and Hibernate
- Raw SQL where control matters most
- Versioned migration scripts for schema change safety
We came in with a schema that was already buckling under new reports and added modules. The redesign was clear, documented, and practical, and the handoff made our developers faster the same week. Why did we choose Doug's SQL? Because they spoke our language and fixed the structure, not just the symptoms.
Schema design questions
The same questions keep coming up, and fair enough. Database design can feel abstract until the wrong structure starts slowing everything down.
Do you design for NoSQL databases as well?
Our main focus here is relational database design, but we can advise when a hybrid model or document store makes sense. The question is always the same: what structure supports the business without creating maintenance pain?
How do you handle existing data during a redesign?
We plan the migration path before changes are applied. That usually means mapping current tables, preserving critical history, and writing scripts that move data cleanly while protecting live operations.
Can you work with our developers remotely?
Yes. Remote collaboration is normal for us, and it works well for workshops, reviews, and handoffs. You’ll get a clear schema package and a practical discussion, not a pile of vague notes.
What deliverables do we receive?
Expect ER diagrams, table definitions, constraint notes, DDL scripts, and written guidance for your team. If something is likely to break later, we document it now.
How do you ensure the design meets future growth?
We design around business rules, growth paths, and the queries you’ll actually run. That means the schema can stretch without constant restructuring, which is exactly what a scalable database should do.
Don’t let a messy schema hold your business back.
Start with a design that can carry real workload, real users, and real growth. If you want a database foundation that stays trustworthy, let’s review it together.