Service
Database Systems
Data that stays correct and stays fast.
Most performance problems and data bugs start in the schema. We design data models that reflect real relationships, add the indexes queries actually need, and set up migrations and backups so change is safe.
What it is used for
- Designing a schema for a new product
- Diagnosing slow queries and missing indexes
- Moving data between systems
- Adding reliable backups and restore tests
What you receive
- Documented schema and relationships
- Index plan based on real query patterns
- Migration scripts and versioning
- Backup and restore procedure
Technologies
- MongoDB
- PostgreSQL
- MySQL
- Mongoose
- Indexing
- Backups
How we deliver it
Step 1
Study the queries
How the data is read and written in practice, not just how it is stored.
Step 2
Design the model
Structures that match access patterns and keep updates consistent.
Step 3
Index deliberately
Indexes for measured slow paths — and removal of ones that only cost writes.
Step 4
Protect the data
Migrations reviewed before running, plus tested restores.
Common questions
Not sure which service fits?
Describe the problem in plain words — we will map it to the right approach in the first call.
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