Database development for
where your data actually lives.
Where the data lives. PostgreSQL, MySQL, and MongoDB, with schema design, migrations, and query performance work that holds up under load.
Database technologies we build with
Each links to a full page on how we use it, when it is the right call, and where it is not.
MongoDB
Document-shaped data modelled properly. Variable records, evolving schemas, behind Node.js and NestJS.
View MongoDB →MySQL
Schema design, migrations, and performance tuning, paired with PHP, Laravel, and .NET backends.
View MySQL →PostgreSQL
Our default relational database. Schema design, query performance, JSON, full-text search, and pgvector.
View PostgreSQL →What we do at the data layer
The database decides what your app can do quickly and what gets slow at scale. We treat schema design as a first-class part of the build.
Schema Design
Data models with the right relationships, constraints in the database rather than hoped for in the app, and an isolation strategy that fits your tenancy.
Query Performance
The report that times out, the endpoint that got slow at 100,000 rows. We read the plan, add the index, rewrite the query, partition if it needs it.
Migrations
Moving between databases or major versions with a plan for the data, the access layer, and the cutover, so the app keeps running.
Vector Search
pgvector for AI retrieval, stored next to the rest of your data. One database to back up, one to secure.
Hire Database Developers
Skip the full build. Get vetted PostgreSQL, MySQL, or MongoDB developers embedded in your team for schema work, a migration, or a performance problem, while we handle employment and payroll.
Built by AI-native engineers, so your data layer is ready for retrieval and agents
AI features need a data layer designed for them. We model your schema so retrieval, embeddings, and agent access fit in without a bolt-on system later. It is how Tully AI and Mebag were built.
Embeddings next to the rows they describe, so retrieval stays consistent.
Scoped access so an agent can query your data without reaching past its permissions.
Logical replication and triggers that keep an index current without a nightly export.
Shipped with prompt versioning, evals, and guardrails. See how we build AI →
What people ask about Database development
Straight answers on stack choice, working in your codebase, cost, and how we start.
Do you do database work on its own, or only as part of a build?
Both. A performance and indexing review, a schema redesign, or a migration can be a standalone engagement. We also design the database as part of a full build.
PostgreSQL, MySQL, or MongoDB: which should we use?
PostgreSQL is our default: it covers relational data, JSON, full-text search, and vector search in one system. MySQL is a fine choice on a PHP or Laravel stack. MongoDB earns its place when records genuinely vary in shape between entries.
Can you fix a slow database without rewriting the app?
Often, yes. Indexing, query rewrites, connection pooling, and caching solve most performance problems without touching application code. We tell you if a schema change is genuinely needed.
Can you migrate us to PostgreSQL?
Yes, from MySQL, SQL Server, or MongoDB. Before recommending it we assess whether the migration pays for itself; sometimes tuning the existing database is better value.
How much does database work cost?
We work fixed-price, not hourly. A performance review is a small, defined engagement; a redesign or migration is scoped against the size of the data. See our pricing page, or book a call.
What does the process look like?
A 30-minute scoping call, then a fixed-price, fixed-timeline proposal within 48 hours.
Need a Database team, or a developer for yours?
Tell us what you are building.
A 30-minute call, then a fixed-price, fixed-timeline proposal within 48 hours, with a recommended stack and the reasoning behind it.