The database is the foundation. Get it wrong and everything above it is unstable.
Schema design, indexing strategy, query optimization, migrations, and backup/recovery — database decisions made early become permanent constraints. Getting them right requires specific expertise.
Need a database developer for schema design, performance optimization, or database architecture
Database design errors are expensive to fix. The common ones:
Over-normalized or under-normalized schema: Under-normalization duplicates data and creates inconsistency. Over-normalization creates query complexity with 10-way JOINs for simple reads.
Missing composite indexes: Single-column indexes don't help queries that filter on multiple columns. A query filtering by user_id AND status needs a composite index (user_id, status).
JSONB overuse: Storing everything in JSONB columns to avoid migrations loses the relational model. JSONB is useful for genuinely unstructured data; structured data belongs in typed columns.
No soft deletes strategy: Deleting records that other records reference creates referential integrity errors. Soft deletes (deleted_at timestamp) require consistent filtering in all queries.
Unbounded queries: SELECT statements without LIMIT that return all records. Fine at 1,000 rows, catastrophic at 1,000,000.
No backup testing: Backups that exist but have never been restored. Untested backups frequently fail when needed.
Database designed for the application's data patterns — proper normalization, indexing, and migration strategy
Schema design
with proper normalization and constraints
Index strategy
based on query patterns
Migration scripts
for schema evolution
Query optimization
for identified slow queries
Backup and recovery
procedures
One honest number to start.
Fixed-scope, fixed-price. The number below is the starting point — final scope is built from your brief.
Database designed for the application's data patterns — proper normalization, indexing, and migration strategy
Three steps, every time.
The same repeatable engagement on every project. No surprises, no mystery, no billable ambiguity.
Brief & discovery.
We send you questions, then get on a call. Output: a written scope with every step, feature, and integration listed.
Build & ship.
Fixed schedule, weekly reviews. No scope creep unless you change the scope — and if you do, we reprice it transparently.
Warranty & retainer.
30-day warranty on every launch. Most clients stay on a monthly retainer for ongoing features and maintenance.
Why Fixed-Price Matters Here
Database work is scoped by the table count, data volume, and performance targets. Fixed-price.
Questions, answered.
PostgreSQL for most applications — relational data, ACID transactions, and structured queries are the default. NoSQL (DynamoDB, MongoDB) for specific cases: high-volume unstructured data, global distribution requirements, or when the access patterns are purely key-value.
Tell Ryel about your project.
Describe what you’re building and what outcome you need. You’ll have a written, fixed-price scope within the week.