Database architecture that keeps your app fast as your data grows
Schema design, migration and performance tuning on PostgreSQL, MySQL, MongoDB and Redis — so your application stays fast and your data is ready for reporting and AI.
Database Architecture at a glance
Flowmatix provides database architecture for businesses in Clients worldwide, from our base in Toronto, Canada. Data models designed for performance and growth.
- Provider
- Flowmatix — digital studio in Toronto, Canada
- Serves
- Clients worldwide, from our base in Toronto, Canada
- Includes
- Data modelling and schema design; Query and index performance tuning; Migrations between databases
- Typical timeline
- 2–8 weeks
- Pricing
- Personalised quote in about 3 minutes, then a fixed-price written proposal
- Ownership
- You own the code, content, accounts and data
- Last updated
- October 17, 2026
From our own work: We built Pulse, a fitness membership and coaching platform concept with member accounts, programs and a progress dashboard, to show how app products should look and behave. Read the Pulse case study.
Most slow apps have a data problem
When a web application gets slow, the database is usually involved: a missing index, a query that loads ten thousand rows to display ten, a schema designed for the first version of the product that now fights every new feature. Database architecture work fixes the structure underneath, so the application stays responsive and your data is in shape for reporting and AI projects later.
The work covers PostgreSQL, MySQL, MongoDB and Redis, including managed versions of each on the major cloud providers.
What the engagement involves
For new products, it starts with data modelling: the entities your business cares about, how they relate and which queries matter most. For existing systems, it starts with measurement, using slow-query logs and query plans to find where time is actually spent. Fixes might be new indexes, rewritten queries, caching with Redis or a revised schema rolled out through careful migrations.
Alongside performance, we set up backup and point-in-time recovery, role-based access so each service only sees what it needs, and reporting pipelines that keep analytics queries off your production database. Work typically takes two to eight weeks. Changes are tested against a copy of production data before release, so performance gains are measured rather than assumed. You receive documentation of the schema, the reasoning behind key design choices and a short runbook for routine tasks such as restoring a backup or adding a read replica. That documentation matters more than it seems: the next developer to touch the database will understand why it looks the way it does instead of working around it.
When to call in database help
It is worth doing before a major launch, when pages or reports are getting noticeably slower, when you are moving between databases, or when you want to feed business data into dashboards or AI tools.
If the application only stores a few thousand records and performs well, a full architecture review is probably unnecessary. A short health check of backups and access control may be all you need. A health check usually takes days rather than weeks and tells you whether deeper work is needed.
What's included
- Data modelling and schema design
- Query and index performance tuning
- Migrations between databases
- Reporting and analytics pipelines
- Backup and recovery strategy
- Security and access control
What it means for your business
Faster everything
Well-designed queries keep pages and dashboards snappy.
Trustworthy reports
Clean data means numbers you can act on.
AI-ready
Structured data is the foundation every AI project needs.
How we work
Discover
A short call to understand your business, customers and goals — then a fixed quote.
Design
We design around your brand and your customers, and you approve before we build.
Build & integrate
We develop, connect your tools and test on real devices.
Launch & grow
We go live, then keep improving through a monthly partnership — SEO, CRO, automation and AI.
Frequently asked questions
Can you migrate us from MySQL to PostgreSQL?
Yes. A migration includes mapping data types, rewriting incompatible queries, running both databases in parallel during testing and planning a cutover with a rollback path. The timeline depends on data volume and how much application code touches the database directly.
Should we use SQL or NoSQL?
For most business applications with structured, related data, a relational database such as PostgreSQL is the safer default. Document stores like MongoDB suit specific patterns, such as highly variable records. The choice should follow your queries, not trends.
How much does it cost?
Every Database Architecture project is different, so we don't publish a price list. Answer a few questions in our quote builder and you'll get a personalised plan and estimate — compared with market prices and designed around your budget — in about 3 minutes.
Do I own what you build?
Yes. The code, content, accounts and data are yours. No lock-in — leave any time and we'll help you move.
Related reading
Ready to see what your project costs?
Answer a few questions and get a personalised plan, a comparison with typical market prices, and a clear next step. No obligation, no sales pressure.