Data Foundation Upgrade: Why Migration Is a Rare Opportunity, Not a Necessary Evil
One question management never asks. And it costs millions.
Reports get finished. Decisions don't.
Who you gonna Teams when your data platform needs some TLC?
Your data isn't scattered. It's lost. Do you know the difference?
Our comprehensive services
We build, modernise and operate AI-enabled data platforms.
Find direction and a foundation for your data
- Data Value Discovery
Within days, we’ll identify what creates value in your data and what to build first. A prioritised roadmap delivered directly to the executive team. - Data Platform Starter Kit
Your first modern data platform, ready for production – no prototypes, no year-long projects. - Data Foundation Upgrade
Managed migration and modernisation without any downtime. We improve the architecture as we go along; we don’t just move it.
Get more out of your data
- Data as a Product
Managed, documented data products derived from distributed data, upon which artificial intelligence, business intelligence and integrations are built. - Business to Analytics & AI
The entire data pipeline, from source systems to dashboards and AI models, managed by a single partner.
Look after the wellbeing of your data
- Data Platform Care
Proactive monitoring and continuous development. Your platform runs, your team builds — we’ll take care of the rest. - SQL Server Optimisation
Most SQL Server environments incur 30–50 per cent in unnecessary costs. We show the savings in euros before any measures are taken.
Customer Stories
SQL GOVERNOR -WEBINAR
More per Core -webinar April 23, 2026
Cut SQL Server Core Count Without Performance Risk
Case examples of how SQL Governor has cut costs by up to 50 %. Learn from Jani and Joonas why SQL environments behave the way they do and how to turn those insights into performance, stability, and cost savings.
US EVENT #1, April 23 2026 11.45 AM EST (New York) 08.45 AM PST (San Francisco)
EU EVENT #2, April 23 2026 08.45 AM CEST (10:45 Helsinki)
WEBINAR
Continuous optimization throughout the entire data platform lifecycle
Avoid costly “lift-and-shift” surprises and learn how to properly size SQL Server—on-premises or in the cloud—with AI-driven capacity planning, long-term telemetry, and continuous optimization.
In this session, Soaring Eagle Data Solutions and SQL Governor will share practical experiences (including a case study from Tampa General Hospital) that have achieved approximately 40% cost savings at TGH a4> and up to 50% savings in total cost of ownership (TCO) in other environments—without crisis meetings.
Read more
Save, run and manage your data platform and your costs
Did you know,
- that one powerful database server consumes the same as a detached house
- that performance metrics tell you almost nothing about costs
- that 98% of our more than two hundred optimisation projects have delivered significant benefits
- that we use our own patented technology in this work.
Our experts tell you:
Your AI project is failing. The reason is not AI.
Timo Lindström, CEO, DB Pro Oy & DB Pro Services Oy. Organizations are investing heavily in AI projects: new models, new platforms, new teams. The results are often disappointing—not because AI doesn’t work, but [...]
Leverage modern data management tools with Microsoft Fabric
The fragmented and reactive development of data solutions has driven companies into a situation where data and analytics environments have grown over the years into complex entities. Solutions have been added as needed, at [...]
Migration and modernization: how to take data platforms to the next level
DB Pro Services implements migration and modernization projects in both operational (OLTP) and analytical (OLAP) environments. The goal of these projects is not only to transfer systems to a new environment, but also to [...]
Why is moving from Synapse to Fabric relevant right now?
The data analytics infrastructure is entering a new era. Traditional data storage models—such as separate SQL warehouses and dedicated analytics pools—have served the needs of the previous generation well. However, in today's data-centric environment, [...]