Migrate Excel spreadsheets to PostgreSQL without importing spreadsheet chaos
We turn workbook systems of record into PostgreSQL tables with proper types, keys, and staging validation — then reconnect Excel or BI for analysis, not multi-user editing.
Serving businesses across the United States
Quick Answer
Migrating Excel to PostgreSQL means designing a relational schema, loading sheet data through staging (usually CSV + COPY or a scripted load), enforcing types and foreign keys, and validating against the workbook before cutover. Typical projects take 2–6 weeks. Postgres is often chosen when data integrity and complex reporting matter more than staying inside Microsoft licensing.
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Also called: migrate Excel to PostgreSQL, Excel data to Postgres database, convert Excel to PostgreSQL, import Excel into Postgres, or move Excel to Postgres. Same project — this page covers it fully.
Typical timeline
2–6 weeks
Typical services cost
$2,500–$12,000
Typical concurrent users
Hundreds+
Get a Free Excel-to-PostgreSQL Assessment
Tell us about data-quality issues, reporting needs, and hosting. Fixed-scope quote.
Signs Your Excel Files Need PostgreSQL
If integrity and reporting matter more than Microsoft licensing, Postgres is usually the right engine. See typical cost & timeline.
Migrate Excel to PostgreSQL Without Recreating Spreadsheet Chaos
Loading a sheet into one Postgres table is easy. Designing constraints so customer, order, and inventory stop living as VLOOKUP columns is the work. We do the model first, then the load.
Teams on a PHP host who prefer MySQL instead can start with Excel to MySQL migration, and teams who need Microsoft SQL standards instead should see Excel to SQL Server migration. Building a Python front end in the same engagement is covered under Excel to web app conversion.
Browse every Excel destination on the Migrate Excel Spreadsheet hub. For workbook modeling patterns before you migrate, see structuring large Excel data models.
Our 4-Phase Excel to PostgreSQL Migration Process
Workbook assessment & entity map
Sheets, entities, who edits what.
PostgreSQL schema design
Types, PKs/FKs, indexes.
Staging load & cleansing
CSV + COPY or scripted load; dedupe and type fix.
Validation, app/report wiring & cutover
Reconcile totals, wire apps/reports, cut over.
Microsoft Excel vs. PostgreSQL
| Factor | Microsoft Excel | PostgreSQL |
|---|---|---|
| Cost | M365 + error labor | Services $2,500–$12,000; flexible hosting |
| Scalability | Practical sheet ceilings | Strong for analytical + transactional mixes |
| Licensing | Microsoft 365 | Open-source |
| Concurrent users | Weak | Hundreds+ |
| Hosting / reporting | Files | Cloud/VPS; excellent BI/tooling ecosystem |
Browse all Excel destinations on the Migrate Excel Spreadsheet hub.
Who We Migrate Excel Spreadsheets to PostgreSQL For
Our clients are US-based teams — finance, healthcare, and manufacturing — who need stronger constraints and reporting than Excel can sustain. Work sits in the same industries we cover under industry solutions.
- Finance — close packs and linked workbooks past safe sharing
- Healthcare — ops trackers where Postgres is already approved
- Manufacturing — inventory / job trackers in Excel
- Product/engineering-led teams on Postgres
Excel to PostgreSQL Migration: Frequently Asked Questions
How do I migrate Excel to PostgreSQL?
Map sheets to entities, design PostgreSQL tables with keys and constraints, load through staging (CSV with COPY or a scripted load), cleanse types and duplicates, then reconcile against Excel before cutover. Postgres will not fix a bad spreadsheet model by itself — the schema design is the migration.
What is the best way to convert Excel sheets for a clean Postgres load?
Export or script controlled loads into staging tables that mirror the raw sheets, transform into production tables with proper types, then add foreign keys once the data is clean. Server-side COPY is fast when the file is on the database host; client-side `\copy` or a Python load works when it is not. Either way, validate before you enforce constraints.
Excel to PostgreSQL vs MySQL — which should I choose?
Choose PostgreSQL when data integrity, complex SQL, or a Python/analytics stack is the priority. Choose MySQL when PHP hosting and an existing MySQL standard dominate. Typical services for both sit around $2,500–$12,000 over 2–6 weeks, so pick the engine your team will actually run.
How long does an Excel to PostgreSQL migration take?
Most departmental projects take 2–6 weeks. Dirty multi-sheet systems with inconsistent customer/product names take longer because entity resolution and constraint failures show up in staging, which is exactly where you want them — not in production.
How much does it cost to migrate Excel to PostgreSQL?
Professional services commonly fall in the $2,500–$12,000 range, quoted fixed-scope after assessment. Hosting is separate. Cost tracks object complexity and cleansing more than raw row count.
Can I use Excel for analysis after migration?
Yes. Point Excel or a BI tool at PostgreSQL for read-only analysis after you move master data into Postgres. That keeps spreadsheet habits useful without letting Excel become the system of record again.
What happens to VLOOKUPs and macros?
VLOOKUPs become relationships and SQL. Macros that cleaned or imported data often become staging scripts. Macros that drove a UI are rebuilt in the application layer or retired if they only existed to paper over spreadsheet limits.
Do you migrate multi-sheet workbooks?
Yes — multi-sheet workbooks are the normal case. Each sheet is classified as a table, a report extract, or duplicate noise during assessment so you do not pay to migrate junk.
Do you offer US-based engagements?
Yes. Excel-to-PostgreSQL work is scoped for United States businesses with a fixed-scope quote after assessment.
Got a problem we can help with?
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