SQL Server

Microsoft SQL Server is the standard for databases in business environments. A lot of business software runs on SQL Server, and we have extensive experience designing, building and optimising it. Your database is the foundation: when something goes wrong there, you notice it everywhere in the application.

Why SQL Server?

• Proven reliability — SQL Server runs in business-critical environments worldwide, from small businesses to enterprises, with battle-tested backup and recovery options.
• Strong integration — fits seamlessly into the Microsoft ecosystem: .NET, Azure, Power BI and existing business applications that often run on SQL Server themselves.
• Powerful tooling — extensive capabilities for reporting, security, backups and monitoring, with good insight into slow queries.
• Suited to complex logic — stored procedures, views and functions bring business logic close to the data where that makes sense.

When should you choose SQL Server?

SQL Server is the natural pick when your organisation already runs Microsoft, when existing business software depends on it, or when you already own licences. It is also a safe choice under strict requirements for backups, security and availability.

If you are building something entirely new and licence costs matter, PostgreSQL is often the more economical option with comparable reliability. We advise honestly on that — the database should fit your situation, not our preference.

What we do with it

We design database schemas for new applications, optimise slow queries and indexes, and connect existing SQL Server databases to new web and mobile applications. We also carry out migrations and data integrations between systems — for example from a legacy Access database to a modern SQL Server environment.

For Avondwinkel Nijmegen, SQL Server forms the foundation beneath the .NET API and the Flutter app.

Slow database? Often it can be fixed

An application that “has become slow” rarely needs heavier hardware. Usually it comes down to missing indexes, queries that fetch more data than needed, or a data model that grew without a plan. We analyse where the time actually goes and fix it specifically — typically with results within a few days.

Is your database hitting its limits? Get in touch.