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Technologies

MySQL: the predictable choice for your company's data

The most widespread open-source database — every developer knows it, every host offers it.

MySQL is the relational database a huge share of the internet runs on — WordPress, Magento and countless business applications keep their data in it. Its strength is predictability: every developer has worked with MySQL, every hosting provider offers it, and its behavior under load is documented by decades of production use. Our services cover the full cycle: schema design for new applications, optimization of slow queries — the most frequent real reason a slow-feeling website is slow — replication for availability, and backups tested regularly rather than assumed to work. Our honest position on database choice: MySQL covers typical needs excellently; for complex analytical queries, geographic data or advanced extensibility, PostgreSQL offers more — and we run that comparison concretely on your case.

Let’s talk about your project

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office@northdan.com · +40 752 070 247

What you get

Total predictability

Decades-documented behavior, specialists everywhere, compatibility with any hosting — the lowest operational risk of any option.

Slow queries fixed at the source

Correct indexing and rewritten queries typically deliver tens-fold speedups — no new hardware, no migration.

Verifiably protected data

Replication, automated backups and periodically tested restores — you learn recovery works before you need it, not after.

Frequently asked questions

Our application is slow — is the database to blame?

Surprisingly often, yes: queries without proper indexes get exponentially slower as data grows. A short audit finds the exact culprits; frequently a few well-placed indexes transform the whole application.

MySQL versus MariaDB — does the difference matter?

MariaDB is a compatible fork of MySQL born after Oracle's acquisition; for ordinary applications the differences are minor. We work with both and preserve compatibility, so the decision stays one of licensing and hosting, not rewriting.

How large can data grow in MySQL?

Far beyond common fears: with a correct schema and careful indexing, tables of hundreds of millions of rows stay fast. The practical ceiling comes from data modeling, not the engine itself — exactly where we intervene.