No-code pipeline · Excel → PostgreSQL

Send data from Excel to PostgreSQL

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From Excel to PostgreSQL: managed, scheduled, no code.

Creating a pipeline that sends data from Excel to PostgreSQL databases takes only a few minutes with Kondado. And the whole integration from Excel to PostgreSQL is managed and executed by our platform. With Kondado, you can focus on extracting value from Excel data and combining it with other data in your PostgreSQL database

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How to Send Excel Data to PostgreSQL

Kondado reads an Excel file stored on OneDrive or SharePoint from the address you paste, treats the first filled row as the header, and turns every title into a column. Each row of the worksheet you select is then replicated into PostgreSQL on a schedule you configure, from every 5 minutes to once a day. Header titles arrive as normalized column names, so the data is ready to query with SQL as soon as the first load finishes. From there you can join it with other datasets, build views, and point any BI tool at the database.

Kondado replicates the rows of any Excel worksheet to PostgreSQL on a configurable schedule, keeping the Excel row number plus one text column for each header title, so spreadsheet data becomes queryable SQL data without manual exports.

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The Spreadsheet pipeline carries your Excel data across: it replicates every row of the selected worksheet, with the Excel row number and one text column per header title, into your PostgreSQL database. Budgets, targets, and control sheets then sit next to your transactional data, so a single SQL query can compare planned versus actual figures. Analysts use that combined dataset to build custom dashboards in Power BI or Looker Studio, while finance teams keep monthly registries queryable without opening the file.

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Replicated to PostgreSQL

Excel data available for PostgreSQL

Tables Kondado writes into your PostgreSQL, on a schedule you control.

available pipeline

PostgreSQL

Destination

Available integrations

Spreadsheet (worksheet)

Each row represents a row of the selected Excel worksheet, with the Excel row number and a text column for each header title from the first filled row, using a normalized name.

See all available data → Send Excel to PostgreSQL →

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How to send Excel data to PostgreSQL

Sync data automatically — no code, no manual exports.

Connect your Excel file

Paste the OneDrive or SharePoint address of the Excel workbook and select the worksheet you want to replicate. Kondado reads the first filled row as the header and turns each title into a column.

Configure PostgreSQL destination

Enter your PostgreSQL connection details and confirm the database and schema that will receive the worksheet rows. Once the connection is saved, Kondado writes the replicated data into a table you can query with SQL.

Select data and set schedule

Choose the Spreadsheet pipeline and set how often Kondado should replicate the worksheet, from every 5 minutes to once a day. The updated data is then ready for Looker Studio, Power BI, or any SQL client your team uses.

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Frequently Asked Questions (FAQ)

Answers about sending Excel data to PostgreSQL automatically

How does Kondado send Excel data to PostgreSQL? ▼

You paste the address of an Excel file hosted on OneDrive or SharePoint, choose the worksheet, and connect your PostgreSQL database. Kondado reads the first filled row as the header, converts each title into a column, and writes the worksheet rows into your database. After the first load, each scheduled run refreshes the destination with the current contents of the sheet.

Which parts of my Excel file get replicated? ▼

Kondado works at worksheet level: you choose one sheet from the file and every row below the first filled row is replicated. Columns come from the header titles in that first filled row, normalized into consistent names. If you need another sheet from the same workbook, you set up a pipeline for it as well.

How often is Excel data refreshed in PostgreSQL? ▼

You pick the update interval when you configure the pipeline, from every 5 minutes through 15 minutes, hourly, or daily. Each run reads the current version of the file and updates your PostgreSQL data accordingly. Sheets that change during the day, such as sales targets or inventory counts, stay close to the source without anyone exporting a CSV.

What does the Excel data look like inside PostgreSQL? ▼

Each worksheet row becomes a database row, and the Excel row number is kept as a column so you can trace any record back to the sheet. Every header title becomes a text column with a normalized name, which means numeric-looking values arrive as text and can be cast in SQL when you need to aggregate them. You can build views on top to apply the types your reports expect.

Can I join Excel data with other sources in PostgreSQL? ▼

Yes. Because the worksheet lands as a regular PostgreSQL table, you can join it with data from your other pipelines or with datasets your team already maintains in the database. A common pattern is joining budget rows from Excel with transactional records to compare planned versus actual figures in one query.

Can I build dashboards on Excel data stored in PostgreSQL? ▼

Yes. Point Power BI, Looker Studio, or any SQL-based tool at the PostgreSQL table and build fully custom dashboards on top. Budgets, targets, and control sheets then update on the same schedule as the pipeline. If another team works elsewhere, you can also route the same data to Google Sheets or BigQuery through separate pipelines.

What happens when I add a new column to my Excel sheet? ▼

The header is read from the first filled row on each run, so a new title is picked up as an additional column on the next scheduled update. Existing columns keep their normalized names, which means queries and views that reference them continue to work. If a column is removed from the sheet, it stops appearing in the replicated data.

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