Data platform modernisation & migration

Out of support?
Move without the drama.

SQL Server 2016 left extended support in July 2026. We upgrade and migrate your databases, ETL and reports to supported, modern platforms — on-premises, on Azure or AWS, or in Microsoft Fabric — with every step rehearsed and reconciled.

Legacy platforms
get riskier every month.

No more security patches

SQL Server 2016 and older versions no longer get security updates — a growing audit and security risk.

Rising licence and hardware costs

Ageing servers and over-provisioned licences cost more every year than the platform is worth.

Shrinking know-how

Fewer people understand the old ETL and reporting stack, and the ones who do are stretched thin.

Fear of downtime

Migrations keep getting postponed because nobody can guarantee the business keeps running during the move.

Every migration path.
From database to dashboard.

01

SQL Server upgrades

In-place or side-by-side upgrades from SQL Server 2016 and older to SQL Server 2025, with compatibility testing and a rollback plan.

SQL Server 2012–2016 → 2025
02

Cloud migration

Databases moved to Azure SQL, Azure SQL Managed Instance, Amazon RDS or cloud VMs — sized from real workload data, not guesswork.

Azure SQL · Managed Instance · Amazon RDS
03

Oracle to PostgreSQL

Schema and code conversion, data migration and performance tuning, so you can leave expensive licences behind without losing functionality.

Oracle → PostgreSQL · PL/SQL conversion
04

ETL modernisation

SSIS and legacy ETL inventoried, rationalised and moved to Microsoft Fabric pipelines in priority order, with outputs reconciled.

SSIS → Fabric Data Factory
05

Warehouse to Fabric

Synapse and on-premises warehouses moved to a Fabric lakehouse or warehouse, keeping reports working throughout the move.

Synapse → Fabric · Direct Lake
06

Reporting modernisation

SSRS and Power BI Premium content moved to Power BI and Fabric capacity, keeping paginated reports where they still make sense.

SSRS → Power BI · Premium → Fabric

We know both sides of the move

We know the platforms you're leaving as well as the ones you're moving to. Years of running SQL Server, Oracle and PostgreSQL in production are what make our migrations predictable.

SQL Server
Oracle
PostgreSQL
SQL Server Integration Services
Azure Synapse Analytics
Microsoft Fabric
Azure
AWS

Start small.
Scale with confidence.

Migrations run by people who run databases

Since 2019 our DBAs have kept enterprise databases running around the clock. We bring that operational discipline — rehearsals, runbooks, rollback plans — to every migration.

30+Enterprise clients
10Countries
24/7Global support
  • ShellEnergyDatabase Management (DBA)
  • Bosch Siemens HausgeräteHome AppliancesDatabase Management (DBA)Avesys
  • KaracaHome & LivingDatabase Management (DBA)SAPMonitoringAvesys
  • PMITobaccoDatabase Management (DBA)
  • NTT DATAIT ServicesDatabase Management (DBA)

Frequently asked questions

Our SQL Server 2016 is out of support. What are our options?

Upgrade to SQL Server 2025 on your own infrastructure, move to Azure SQL Managed Instance or a cloud VM, or buy Extended Security Updates as a bridge while you plan. We compare cost and risk for each option before you decide.

How much downtime should we expect?

Usually minutes, scheduled in a maintenance window. We keep the new platform in sync with replication or log shipping and switch over only after the reconciliation checks pass.

Is moving from Oracle to PostgreSQL realistic for us?

For many workloads, yes. The assessment flags features without a direct PostgreSQL equivalent and estimates the conversion effort, so you know the true cost before committing.

Do we have to move to the cloud?

No. Modernisation can mean a supported on-premises version, the cloud or a mix of both. We recommend what fits your regulations, data residency needs and budget — including in-country hosting where BDDK (Turkey's banking regulator) or sector rules require it.

Will our applications and reports keep working?

That is what reconciliation is for. In every wave we test applications and reports against the new platform, compare the results with the old one and cut over only when they match.

Ready to Optimise Your Data Operations?

Let's discuss how we can help you achieve your data management goals