It’s 4:30 PM on a Friday. You get an email from the operations team containing a .zip file with 50 separate Excel spreadsheets—and a simple request:
"Hey, can you import all of these into our MySQL database before you leave?"
If you’ve ever had to do this, you know the pain:
- Open Navicat (or DBeaver / TablePlus).
- Right-click your database, select Import Wizard.
- Choose the file, click Next... map the columns... click Next... hit Finish.
- Repeat this exact process 49 more times.
- Halfway through, Navicat throws an obscure type-casting error on row 3,000 because an Excel column had a mixed string/number format, forcing you to start over.
Manually importing spreadsheets into databases through GUI wizards is tedious, error-prone, and a complete waste of engineering time.
That’s exactly why ExcelToDatabase was built.
What is ExcelToDatabase?
ExcelToDatabase is a dedicated batch import utility designed to eliminate the headache of manually moving Excel and CSV files into databases. Instead of clicking through GUI import wizards dozens of times, ExcelToDatabase handles whole folders of spreadsheets in a single batch operation.
Whether you are using MySQL, PostgreSQL, SQL Server, Oracle, SQLite, DuckDB, Access, or MariaDB, it streamlines the entire bulk import pipeline in seconds.
The Problem with Traditional Import Methods
Let's look at how we usually handle spreadsheet imports:
| Import Method | The Reality |
|---|---|
| Navicat / DBeaver Import Wizards | Great for single files, but painfully repetitive for 10+ files. No true native batching across multi-file directories. |
| Manual Data Cleaning in Excel | Changing data formats, deleting header rows, or renaming columns row-by-row before importing takes forever. |
| Custom One-off Scripts | Writing custom ETL scripts every time dirty Excel data arrives defeats the purpose of "quick data loading." |
Key Features That Put Data Import on Autopilot
1. One-Click Batch & Directory Import
Instead of picking files one by one, simply select an entire folder of .xlsx, .xls, or .csv files. ExcelToDatabase will process and import all files into their target tables in one go.
2. Flexible Table & Field Mapping
- Auto-create tables: If the target tables don't exist, ExcelToDatabase can automatically generate them based on your spreadsheet structure.
- Append or Update: Choose to append records to existing tables or update matching records effortlessly.
3. Built-in Data Filtering & Cleaning
Forget manually modifying Excel files before importing. You can configure rules right inside the tool:
- Specify exact header and first-data rows.
- Skip unwanted top rows or tail rows.
- Auto-detect or standardize column data types (e.g., force "All As String" to avoid strict type mismatch crashes).
4. Blazing Fast Processing Speed
ExcelToDatabase uses optimized reading engines. Importing 100,000 rows across 10 files takes under 5 seconds, saving you hours of waiting for standard database GUI wizards to finish.
Quick Workflow: Batch Import in 3 Steps
- Connect Your Database: Select your target engine (MySQL, PostgreSQL, Oracle, SQLite, etc.) and save your connection.
- Add Files or Folders: Drag and drop your Excel files or select a directory path.
- click Start.
Done! What used to take an hour of manual clicking in Navicat now takes less than a minute.
Try It Out!
If your daily workflow involves repeatedly loading Excel reports into SQL databases, ExcelToDatabase will give you back your Friday afternoons.
- Download: Just try it! It's available for free!
How do you currently handle batch Excel imports in your workflow? Drop a comment below—I'd love to hear your thoughts!
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