MySQL Development Services
The world's most popular open-source relational database. Expert MySQL engineers delivering high-quality solutions at 65% below US market rates — with a fixed price, 48-hour proposal, and 94% on-time delivery track record.
Battle-tested at scale
MySQL powers Facebook, Twitter and YouTube — proven at billions of queries per day.
Universal compatibility
Every hosting platform, every ORM, every language has MySQL support out of the box.
ACID compliant
InnoDB's full ACID compliance ensures data integrity even in multi-transaction workloads.
Rich tooling
MySQL Workbench, Percona Toolkit, and a vast ecosystem of monitoring and management tools.
MySQL Projects We Deliver
Database Schema Design
Normalised, performant MySQL schema design with proper indexing, constraints and relationships.
Query Optimisation
EXPLAIN analysis and index tuning to speed up slow queries by 10-100x.
Database Migrations
Zero-downtime schema migrations and data transformations for live production databases.
High-Availability Setup
MySQL replication, read replicas, and ProxySQL connection pooling for production reliability.
Full MySQL Ecosystem Coverage
The Affordable Choice for MySQL Development
MySQL Development — Common Questions
Should I use MySQL or PostgreSQL?
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PostgreSQL has surpassed MySQL in features (JSONB, full-text search, advanced indexing) and is our default recommendation for new projects. MySQL is still preferred when joining an existing stack, using managed PlanetScale/AWS Aurora, or when the team has existing MySQL expertise.
How much does MySQL database development cost?
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Schema design and database setup starts from $800. A full database layer with ORM integration, migrations and seeding is included in backend development projects. Performance tuning engagements start from $800.
Can you migrate from MySQL to PostgreSQL?
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Yes. We perform MySQL to PostgreSQL migrations with pgloader or custom ETL scripts, handling type conversions, stored procedures and triggers. We test thoroughly in staging before any production cutover.
How do you handle MySQL at scale (millions of rows)?
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For large datasets we implement proper indexing strategies, query caching, read replicas, table partitioning and — if needed — sharding or migration to Vitess (YouTube's MySQL scaling layer). We also evaluate when a time-series or columnar DB may be more appropriate.
Related Database Technologies
Ready to build with MySQL?
Get a detailed proposal within 48 hours — fixed price, no hidden fees, 65% below US rates.