Efficiency in copying large data means more than just eventually getting the job done; it means the application staying responsive throughout, chunks building quickly, and not wasting time on redundant work between one chunk and the next.
Million by Million Rows Copier copies millions of rows efficiently through a design built specifically for this: data lives in a local SQLite database rather than memory, background threads handle all the heavy lifting, and each worker thread gets its own SQLite connection running in WAL mode, so building the next chunk and auto-saving the previous one genuinely run in parallel.
Loading data once, by pasting with Ctrl+V or loading a file in any of 33 supported formats, sets up the whole session; from there, Copy Next Chunk efficiently produces each piece, clipboard and disk save happening together rather than as separate, sequential steps.
Chunk size defaults to 1,000,000 rows, matching just under Excel's per-sheet limit, and adjusts anywhere from 1 to 10,000,000 to fit your actual destination, so you're never wasting time producing chunks larger or smaller than what you actually need.
This efficient design scales to the app's full capacity of 50,000,000 rows in a single session, staying just as responsive at that scale as it does with a much smaller dataset, since the underlying storage and processing approach doesn't change with size.
Everything runs locally on your PC, aside from a one-time license check. Loading, chunking, and exporting all happen offline, with nothing uploaded during processing. Data analysts and engineers moving large extracts between tools, database administrators handing off query results, finance and accounting teams transferring big ledgers, operations and reporting staff assembling data from many sources, and anyone who has ever tried to paste more rows into Excel than it was willing to accept, all use the same underlying workflow. Virtual rendering keeps the loaded-data view smooth even at the upper end of the app's capacity, and every worker thread runs its own SQLite connection in WAL mode, so nothing here depends on your PC having an unusual amount of memory to spare.
- Install Million by Million Rows Copier on your Windows PC.
- Paste your data with Ctrl+V or load a file.
- Click Start Copying Out to lock the dataset in place.
- Choose your chunk size and auto-save formats.
- Click Copy Next Chunk to efficiently build and copy each piece.
- Paste the chunk into your destination while the next one is ready.
- Repeat until the full dataset has been copied.
- Review the auto-saved files in your output folder.
- Use Re-copy Current Chunk if your clipboard gets overwritten mid-paste.
- Click Open Output Folder to review everything you've saved so far.
- Parallel worker threads for chunk building and auto-save
- SQLite-backed storage keeps the app responsive at any scale
- Background processing avoids UI freezing during large jobs
- Chunk size adjustable from 1 to 10,000,000 rows
- Handles datasets up to 50,000,000 rows in one session
- Clipboard copy and disk save happen together per chunk
- Runs fully offline aside from a one-time license check
- One-time purchase for Windows, with Gumroad license activation
- Choose your own output folder, or use the default under My Documents
- Works with files on local drives, external drives, and network shares
What makes this copying process efficient?
Background worker threads with independent SQLite connections in WAL mode let chunk building and auto-save genuinely run in parallel, rather than one waiting on the other.
Does efficiency come at the cost of the app freezing during large jobs?
No, all the heavy processing runs on background threads, so the window itself stays responsive throughout, even for very large datasets.
How does the app avoid wasted work between chunks?
Each chunk build and its corresponding auto-save happen in parallel via separate threads, rather than sequentially waiting for one to finish before starting the next.
Does efficiency degrade as the dataset gets larger?
No, the same SQLite-backed, multi-threaded approach applies at any scale, up to the app's 50,000,000-row capacity.
Does this work on both Windows 10 and Windows 11?
Yes, Million by Million Rows Copier is built and tested for both Windows 10 and Windows 11.
Is my data safe when using this tool?
Yes, all processing happens locally on your PC; no data is ever uploaded, so proprietary or sensitive records stay fully under your control.
Where do saved chunks and exports go by default?
A default output folder under My Documents is set automatically at startup, though you can choose a different folder before loading begins.
Can I use this on files stored on an external or network drive?
Yes, files on local drives, external drives, or mapped network shares all load the same as any local file.
What happens if the app is closed partway through a session?
Each chunk is saved to disk automatically the moment it's copied, so a closed app or crash never loses more than the chunk that was in progress.
Is there a trial version available before buying?
Check the product page on turbo-soft.com for current trial availability and details.
Ready to efficiently copy your millions of rows, fully offline?