Split Data by GB

Split huge files into smaller files, sized to a gigabyte target

Split Huge Data Files by a Gigabyte-Scale Target

A file large enough to be measured in gigabytes rather than megabytes needs a splitting approach that can meaningfully divide it into pieces sized for whatever constraint you're working within, a storage tier's per-file limit, a transfer process's practical ceiling, or simply a size that's manageable to move around.

Turbo Large Data Splitter's File Size method handles gigabyte-scale targets by accepting a size setting in MB, so a 2 GB target translates to roughly 2,000 MB, entered directly, and the tool rolls over to a new part once each one reaches that size.

Because everything streams row by row for most formats rather than loading the whole file into memory, splitting a multi-gigabyte source file into gigabyte-scale parts works reliably, regardless of whether the source itself is 10 GB, 50 GB, or considerably larger.

Rows vary in width, so a size-based split produces more predictable output file sizes than a row-count-based approach would when your actual constraint is measured in bytes rather than records, especially important at gigabyte scale where the difference compounds.

The header or equivalent structure is repeated at the top of every size-based part, keeping each output file independently valid regardless of exactly how many rows happened to fit before the gigabyte-scale threshold was reached.

Everything runs offline, entirely on your own Windows PC, so splitting a huge file down to a gigabyte-scale target never requires uploading the original file anywhere first. Delimiter and encoding both default to Auto for relevant formats and are detected directly from the file itself, so you only need to touch them in the rare case detection gets something wrong, an unusual delimiter or a legacy encoding, for example. This makes the tool equally useful for data analysts working with irregular exports, developers automating a recurring pipeline step, e-commerce teams distributing catalog data by category, and anyone else who regularly runs into the practical limits of opening a large data file directly in a spreadsheet program.

Turbo Large Data Splitter

Turbo Large Data Splitter
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Enlarged application screenshot
How to Split Data by a Gigabyte-Scale Target
  1. Install Turbo Large Data Splitter on your Windows PC.
  2. Browse to or drag and drop your huge data file.
  3. Choose your output folder with enough free disk space.
  4. Select the File Size split method.
  5. Enter your target size in MB, converting from GB as needed.
  6. Run Preview to confirm the setup.
  7. Click Start Split and monitor progress.
  8. Open the output folder to find your gigabyte-scale parts.
  9. Adjust the parallel worker slider if compressing many output parts.
  10. Check the status bar for the final row count and file count summary.
Why Use This Tool to Split Data by GB
  • Handles gigabyte-scale size targets via an MB setting
  • Streaming engine supports huge multi-gigabyte source files
  • Works across CSV, XLSX, TXT, JSON, and other formats
  • More predictable sizing than row-count division at scale
  • Header repeated on every size-based part
  • Live progress with speed and ETA
  • Runs fully offline with no uploads required
  • One-time purchase for Windows, with Gumroad license activation
  • Compression options: uncompressed, per-part ZIP/gzip, or a single bundled archive
  • Works with files on local drives, external drives, and network shares
Frequently Asked Questions

How do I set a target size in GB if the setting is in MB?

Convert your gigabyte target to megabytes, for example 2 GB is roughly 2,000 MB, and enter that value as your target size.

Can this handle splitting a source file that's tens of gigabytes?

Yes, the streaming engine processes most formats row by row without loading the whole file into memory, so source files well into the tens of gigabytes are handled reliably.

Will output parts be exactly my gigabyte target?

Parts roll over once they reach approximately your target size; since the split happens at row boundaries, exact sizes may vary slightly.

Is there a limit on how large my source file can be for this method?

The streaming engine's practical limit is your available disk space rather than a fixed size cap, for most formats.

Does this work on both Windows 10 and Windows 11?

Yes, Turbo Large Data Splitter 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 files are ever uploaded, so proprietary or sensitive data stays fully under your control.

Can I compress the split output files?

Yes, you can leave parts uncompressed, zip or gzip each part individually, or bundle everything into a single ZIP or gzip archive, sped up by a parallel worker slider.

Can I use this on files stored on an external or network drive?

Yes, data files on local drives, external drives, or mapped network shares all work the same as any local file.

Can I cancel a split job partway through if I need to?

Yes, cancelling saves a checkpoint file in the output folder, so you can resume the job later exactly where it left off instead of starting over.

Is there a trial version available before buying?

Check the product page on turbo-soft.com for current trial availability and details.

Ready to split your huge data files to a gigabyte-scale target, fully offline?

Related guides and tools

This guide is part of TurboSoft’s large data splitting resources. Turbo Large Data Splitter handles all of these tasks offline on Windows.

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