Data Warehouse Migration Cost Calculator

A traditional cloud warehouse bills you for storage and compute at premium rates while your data grows every year. Describe what you're moving: volume, pipelines, complexity; we estimate the one-time effort, then show what staying costs, what a lakehouse costs, and how fast the switch pays for itself.

What you run today

Data volume (TB today)

Annual data growth (%)

Current warehouse cost ($ / TB / year, ~$500-2000)

Lakehouse cost ($ / TB / year, ~$30-50)

What it takes to move

Data pipelines / jobs to migrate (ETL, transforms, reports)

Migration complexity

Horizon (years)

Estimated one-time migration

What it costs

Stay on warehouse

Lakehouse + migration

Total savings

Payback period

Adjust the inputs above and the numbers update live.

The warehouse bill compounds. The lakehouse one does not. Most of the gap is storage priced like compute, plus data you keep but rarely query. Logiciel's data-engineering team runs warehouse-to-lakehouse migrations end to end — pipeline rebuild, validation, and cutover — so the one-time effort above becomes a fixed, scoped project.

Book a 1:1 call with one of our data engineers to firm up this estimate against your real pipelines. No pitch.

Estimates only. Migration cost is modelled from pipeline count, data volume, and complexity (fixed setup + per-pipeline engineering + per-TB transfer & validation) — a real scope will vary with tooling, team, and compliance. Warehouse and lakehouse prices vary by vendor, region, and workload. Not a quote. Logiciel Solutions · logiciel.io