Move databases and warehouses to the cloud without losing a row.
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§ Signs
Our cloud data migration services move on-premises databases and legacy data warehouses to modern cloud platforms with a plan, a test for every step and a reconciled result. We migrate SQL Server to Snowflake, SQL Server to Databricks, and SQL Server and Azure sources to Microsoft Fabric, and modernise databases on Azure. Every cloud database migration includes assessment, schema and code conversion, incremental loads and CDC during the transition, data validation and reconciliation, and a cut-over plan. The aim is data platform modernisation that improves performance and cost, not just a lift and shift.
Most migrations start because of a date, a cost or a limit. The earlier you plan, the more options you keep.
Hardware refresh, data centre exit or a licence renewal is on the calendar.
Nightly batches on the on-premises warehouse finish after people start work.
New data sources and users are turned away because the server is already at its limit.
A previous migration moved some data but never reached a trusted cut-over.
Old and new platforms both run, with no date to switch the old one off.
§ What we deliver
Choose an area to see the services in it.
SQL Server
Microsoft FabricHands-on migration work on each target platform.
SQL ServerHow we prove the migrated data is complete, current and protected.
§ Proof
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§ Approach
We inventory databases, pipelines, reports and dependencies, and choose the target platform with you.
You receive Migration assessment and wave plan
A pilot migrates one representative workload end to end to confirm the approach and timings.
You receive Pilot migration with lessons learned
Schemas, SQL code and pipelines are converted; history is loaded and kept current with CDC.
You receive Converted code and loaded data per wave
Row counts, checksums and business totals are compared between source and target.
You receive Reconciliation report signed off per wave
Consumers switch to the new platform on a rehearsed plan, and legacy systems are retired.
You receive Cut-over runbook and decommission plan
We retire the legacy platform in a controlled way and tune the new one based on real post-migration usage.
You receive Decommission plan and post-migration tuning report
§ Tech stack
SQL ServerMicrosoft Fabric
Azure SQLAzure Data Factory
dbtAzure Synapse Analytics§ Engagement models
A defined scope, timeline and deliverables, from design through go-live.
An agreed price for a clearly scoped implementation, such as a migration or a new warehouse.
Our engineers work under your contract, or as a subcontractor to consulting firms and system integrators.
Data engineers who join your team and work in your tools and processes.
Consultants and developers working remotely, with overlap in your working hours.
Architecture reviews, platform choices and design guidance for your own team.
Monitoring, incident handling and ongoing fixes for pipelines and databases in production.
A short, fixed-scope engagement to test an approach on your data or plan a migration.
§ FAQs
On-premises to cloud database migration, legacy data warehouse modernisation, SQL Server to Snowflake, SQL Server to Databricks, SQL Server and Azure sources to Microsoft Fabric, and SQL Server migration to Azure and other cloud platforms.
Every wave is reconciled: row counts, checksums and business totals are compared between source and target, and differences are resolved before sign-off.
We keep it short by loading history first and then applying incremental loads and CDC until cut-over, so the final switch only moves the latest changes.
Yes. A short-term migration assessment gives you an inventory, a target platform recommendation and a wave plan before you commit to the full migration.
No. We use the migration to modernise: converting to ELT, adopting medallion or dimensional models where they fit, and right-sizing compute, so the new platform performs better and costs less.
It depends on your workloads, skills and existing contracts. SQL-centreed BI often suits Snowflake or a Fabric warehouse, heavy engineering and machine learning suit Databricks, and Microsoft-centreed estates often fit Fabric or Azure SQL. The assessment compares them on your workloads.
It depends on the number of objects, the amount of ETL to convert and how many teams consume the data. We plan in waves, so the first domain can go live well before the last one moves.
We inventory everything that reads the old platform, repoint it in the wave its data moves, and test each report against the reconciled data.
Encryption in transit and at rest, private connectivity where available, least-privilege service accounts, no copies on personal devices and masked data in test environments, designed around your UK GDPR and Data Protection Act 2018 obligations.
§ In detail
An inventory of databases, objects, ETL jobs, reports and dependencies, with complexity scores and a wave plan.
A platform recommendation across Snowflake, Databricks, Microsoft Fabric or Azure SQL, with the reasons written down.
Schemas, stored procedures and ETL rebuilt for the target, often as ELT and dbt models.
A historical bulk load plus incremental or CDC sync, so the new platform stays current until cut-over.
Row counts, checksums and aggregate comparisons per table, plus report-level comparisons signed off by owners.
Each step, owner and check for the switch, and how to go back if a check fails.
The people who own the numbers approve reconciliation results before each wave goes live.
Old and new platforms run side by side for an agreed period so differences surface early.
We list every report, extract and application that reads the old platform and plan each repoint.
Report users know what changes, when and who to ask, before cut-over day.
Reconciliation evidence kept for audit, and regulatory reports re-validated on the new platform.
Encrypted transfer, private connectivity and data residency agreed up front, in line with UK GDPR and the Data Protection Act 2018.
Cut-over scheduled away from trading peaks, with sales reporting checked first.
Years of ERP and production history moved and reconciled, without disrupting plant reporting.
§ Contact
Tell us what you are migrating from and to, and we will suggest a first step.
