Data Migration & Integration

Legacy engines out.
Modern Azure in.

Tracksan migrates legacy on-premise systems — Oracle, SQL Server, Sybase and more — into modern data platforms. Azure is our preferred target for transactional and analytical workloads alike, and we build just as fluently for whichever cloud your team has already chosen.

Migration map — on-prem to Azure, and beyond
ON-PREM → CLOUD
LEGACY · ON-PREM Oracle SQL Server Sybase + other legacy engines extract → validate → load PREFERRED TARGET Microsoft Azure SQL · Synapse · Data Lake + the rest of the Azure data stack ALSO SUPPORTED Other cloud platforms Snowflake · BigQuery · Databricks · AWS · GCP… ✓ verified ✓ compatible on request
Any legacy engine · one validation standard Azure-first
0row-loss tolerance per migration
Azure-firstour preferred modern platform — and we adapt to AWS, GCP or any cloud you run
Americas + EUdelivery windows across time zones
What we do

Four disciplines, one migration

Every engagement draws on the same team and the same standard — whether we're moving one warehouse or untangling a decade of siloed systems.

MIGRATE

Data Migration

Legacy systems — Oracle, SQL Server, Sybase and other on-premise engines — migrated to modern data platforms. We default to Azure end to end, and adapt to whichever cloud your team already runs, with cutover plans built around your uptime requirements, not ours.

INTEGRATE

Data Integration & Pipelines

ELT/ETL pipelines that connect source systems, SaaS applications and APIs into one dependable flow of data, monitored end to end.

MODERNIZE

Warehouse Modernization

Schema and model redesign for Azure Synapse and the wider Azure data stack, plus Snowflake, BigQuery, Redshift and Databricks — built for the queries your teams actually run.

GOVERN

Validation & Governance

Row-level reconciliation, checksum audits and lineage documentation delivered as evidence, not just an assurance, for every migration.

How it runs

A four-step migration, in order

Nothing moves to production until the step before it has been signed off.

01 / Assessment

Audit before we build

Source systems, data quality and dependencies are mapped before a single pipeline is written.

02 / Build

Pipelines against a spec

Migration and integration pipelines are built against a versioned mapping specification your team can review.

03 / Reconcile

Source and target, in parallel

Both environments run side by side until row counts and checksums agree — the same map shown above.

04 / Cutover

Switch, monitor, hand off

Traffic switches over with close monitoring, then documentation and runbooks are handed to your team.

Why Tracksan

Built for teams who ask "how do you know?"

Validation-first, not migration-first

Reconciliation isn't a final check — it's the deliverable. You get the evidence, not just a "done" message.

Azure-first, not Azure-only

Azure is our default recommendation and where our deepest expertise lives, but we engineer just as fluently for AWS, GCP or whatever platform you've already invested in.

Blended teams across the Americas and Europe

Delivery spans multiple time zones, so overlap with your team isn't an afterthought.

Documentation, not lock-in

Every mapping, pipeline and runbook is handed over in full — your team can run it without us.

Ready to see your own data reconciled?

Tell us what you're migrating — we'll tell you what the map will look like.

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