Database Development Subscription
AsyncForge does database design, query optimization, and migrations for PostgreSQL, MySQL, and MongoDB from €2,000/month, with senior engineers on a subscription.
Your Database is the Foundation
A poorly designed database makes everything harder — slow queries, data inconsistencies, painful migrations, and scaling nightmares. Getting the schema right from the start saves months of refactoring later. Every table you add, every relationship you define, and every index you create or omit has consequences that compound as your data grows.
Most developers are decent at writing queries but struggle with schema design, indexing strategies, and database optimization. These skills come from experience with real production databases at scale — understanding why a query that works fine with 10,000 rows becomes unusable at 10 million, or why a seemingly simple schema change requires a four-hour migration window.
Database problems are uniquely painful because they affect everything. A slow query does not just slow down one endpoint — it consumes database connections, blocks other queries, and can cascade into application-wide performance degradation. An inconsistent schema does not just create one bug — it creates a class of bugs that keep appearing in different places.
Migration strategies are another area where experience matters enormously. Adding a column to a table with 50 million rows can lock the table for minutes if done incorrectly. Changing a column type, splitting a table, or adding a constraint all have production implications that need careful planning. The difference between a smooth migration and an outage is often a few lines of SQL.
Our team has designed and optimized databases for applications handling millions of records across PostgreSQL, MySQL, and MongoDB. Through AsyncForge, we handle the full database lifecycle: schema design, migrations, query optimization, scaling strategies, and data migration between systems.
What You Get
Schema Design
Normalized schema design with proper relationships, constraints, and indexes. We design schemas that enforce data integrity at the database level — proper foreign keys, check constraints, unique indexes, and sensible defaults. A well-designed schema prevents entire categories of bugs that application code alone cannot catch.
Query Optimization
EXPLAIN ANALYZE, index tuning, and query rewriting for performance. We profile your slowest queries, analyze their execution plans, and optimize them through better indexes, query restructuring, or materialized views. Most applications have a small number of queries responsible for the majority of database load, and fixing them produces dramatic improvements.
Migrations
Alembic (Python) and Prisma (Node.js) migrations with zero-downtime strategies. We write migrations that can run safely on production databases under load — no table locks, no downtime, and always with a tested rollback plan. For large tables, we use techniques like concurrent index creation and batch updates to minimize impact.
PostgreSQL Expertise
JSONB, full-text search, CTEs, window functions, and advanced PostgreSQL features. PostgreSQL offers powerful features beyond basic SQL, and we use them when they provide genuine value. JSONB columns for flexible metadata, full-text search indexes for content queries, and window functions for complex analytics — all without adding external dependencies.
MongoDB Design
Document design, aggregation pipelines, and proper indexing for MongoDB. We design MongoDB schemas that balance query flexibility with storage efficiency. This means understanding when to embed versus reference documents, building efficient aggregation pipelines, and creating compound indexes that support your actual query patterns.
Data Migration
Migrate between databases or schemas safely with data validation. Whether you are moving from MySQL to PostgreSQL, splitting a monolithic database, or restructuring your schema, we build migration scripts that move data safely with validation at every step. Failed migrations roll back cleanly without data loss.
Technologies We Use
How It Works With AsyncForge
Review current state
We read your slow-query log, check index coverage, and look for missing constraints and design issues, then tell you what is healthy and what needs work.
Design improvements
Schema changes, new indexes, and query rewrites, each documented with the rationale and the expected impact — so your team learns the architecture, not just the SQL.
Implement safely
Migrations with tested rollbacks, run against a copy of production first. Large tables use concurrent index builds and batched updates so there is no lock and no downtime.
Monitor performance
Dashboards for query times, connection-pool usage, and table growth, with alerts when queries start to degrade so you catch regressions early.
Learn More
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