--- title: Data Migration: Spreadsheets to Postgres, BigQuery | Remqa url: https://remqa.com/data-migration updated: 2026-10-13 --- [Home](https://remqa.com/) / [Migrations](https://remqa.com/migrations) / Data migration Migrations # Data migration you can check, not just trust. Scattered spreadsheets, an old database nobody understands, or exports from a tool you are leaving. Remqa's engineers move it into one place your team can query, and prove the numbers match. [Book a free migration call](https://calendly.com/meghanaj-connect/30min)[See all migrations](https://remqa.com/migrations) In short Remqa moves data from spreadsheets, old databases and SaaS exports into Postgres, BigQuery, Snowflake or a new application database. Every table is reconciled with row counts, totals and relationship checks, and your team spot-checks real records before cutover. - Cleaning rules are written down and approved before data moves - Reconciliation uses plain queries you can rerun yourself - Ongoing pipelines can be rebuilt after the move - Targets include Postgres, MySQL, BigQuery, Snowflake, Redshift and Supabase Last updated October 13, 2026 ## What we move - **Spreadsheets and exports:** Excel, Google Sheets, CSV dumps and app exports turned into clean, typed tables - **Old databases:** MySQL, SQL Server, Oracle, Access and legacy Postgres into a modern database or warehouse - **App data:** data pulled out of SaaS tools you are leaving, through their APIs or exports - **Ongoing syncs:** pipelines rebuilt so new data keeps flowing after the move ## Where it goes Postgres, MySQL, BigQuery, Snowflake, Redshift, Supabase, or the database behind your new application. ## How a data migration runs 1 **Map.** Every object, field, owner, stage and file is mapped from old to new. You sign off on the map before anything moves. 2 **Test run.** A full trial migration into a sandbox or a copy of the new system, so problems show up before go-live, not after. 3 **Verify.** Record counts reconciled, relationships checked, and spot checks on real records with your team. 4 **Cut over.** A planned switch with a short freeze window, then a final delta sync for anything that changed during the test run. 5 **Keep the old system read-only.** Nothing is deleted until you are happy with the new one. ## How we verify Every table gets reconciled: row counts, sums of key numeric columns, distinct counts on IDs, and checks that relationships still join. Your team then spot-checks real records they know well. You get a short report showing what matched, what was cleaned and what was deliberately left out. ## Where AI helps AI is useful for profiling messy data, suggesting column types and mappings, normalising free-text values and writing transform code. Engineers review the logic, and reconciliation is done with plain queries, so the result is something you can check yourself. Moving a CRM or recruiting database? See [CRM migration](https://remqa.com/crm-migration) and [ATS migration](https://remqa.com/ats-migration). FAQ ## Common questions. **Q: How do we know nothing was lost?** We reconcile every table with row counts, totals on key columns and relationship checks, and share the results. Your team also spot-checks records before sign-off. **Q: Can you clean the data during the migration?** Yes. Deduplication, type fixes and value normalisation are part of the mapping, and every cleaning rule is written down for you to approve. **Q: Do you build ongoing pipelines too?** Yes. If data needs to keep flowing after the move, we rebuild the sync or pipeline and hand over the docs. **Q: Where should our data end up?** It depends on how you use it. Postgres suits apps and moderate reporting, while BigQuery or Snowflake suit heavier analytics. We recommend one in the first call. Talk to an engineer ## Tell us what you are moving. In 30 minutes we look at your current system, where you want to go and what could go wrong. You leave with a plan, whether or not you work with us. [Book a free migration call](https://calendly.com/meghanaj-connect/30min) **30 minutes**Free, with an engineer **Your stack**We look at what you run today **Straight answer**Including when we're not the fit