How to Handle a 10 Million Rows Dataset in Excel

A 10 million rows dataset is roughly ten times larger than a single Excel worksheet can hold, since the limit sits at 1,048,576 rows. Trying to open or paste a file this size directly usually results in an error, a truncated import, or a very sluggish spreadsheet.

Million by Million Rows Copier loads a 10 million rows dataset into a local SQLite file in one pass, keeping the app responsive throughout, and then divides it into ten 1,000,000-row chunks ready for Excel.

Each chunk pastes into its own worksheet with the header row intact, so a 10 million rows dataset becomes ten manageable sheets instead of one file Excel cannot open at all.

If you need the data outside Excel, the same load also supports direct export to CSV, XLSX, JSON, SQL, TSV or XML, so the dataset isn't tied to a spreadsheet workflow if you'd rather work with it another way.

1. Load your 10 million rows dataset into Million by Million Rows Copier.
2. Let the import finish; the app confirms the full row count once done.
3. Click Start Copying to begin producing the first of ten chunks.
4. Click Copy Next Chunk and paste into a new Excel worksheet, repeating for each chunk.
5. Alternatively, use Export Everything to save the full dataset in another format instead.

• Splits a 10 million rows dataset into exactly ten 1,000,000-row chunks
• Supports datasets up to five times that size, at 50,000,000 rows
• Loads from more than 25 formats without a separate conversion step
• 64-worker style background processing keeps loading fast
• Auto-saves every chunk to disk as a running backup
• Direct export to six formats if Excel isn't the final destination