Local CSV splitting

Split a large CSV file into manageable outputs

Create smaller CSV files for spreadsheets, uploads, teams, regions, or downstream systems. DataOlllo can split the source locally by row count, target size, or unique column values.

Why split a large CSV?

Splitting does not change the business meaning of the data. It changes the delivery unit so each output can fit a tool, owner, location, process, or transfer limit.

Fit another application

Create outputs small enough for a worksheet, upload form, model, reporting tool, or legacy system.

Assign data by owner

Separate records by region, department, client, store, product category, or another column.

Process in batches

Divide one oversized source into predictable chunks for review or downstream automation.

Common ways to split a large CSV file

Choose the method based on how the outputs will be consumed—not only on the size of the source.

Rows

Split by row count

Create parts with a selected maximum number of rows. Useful when a destination has a record limit or reviewers need consistent batches.

Size

Split by target file size

Produce smaller files for transfer or systems that enforce approximate MB or GB limits. Final sizes can vary with row length and encoding.

Values

Split by column value

Create one output per value, such as region, branch, category, customer, facility, or status.

The DataOlllo split workflow

DataOlllo provides a visual local process. Select the source, choose a method and destination, review the settings, and generate the outputs.

Keep the original CSV unchanged. Write parts to a separate folder so the source, configuration, and outputs remain easy to audit.

1. Select the sourceChoose the large CSV from local storage.
2. Choose the methodUse rows, target size, or column values.
3. Set output detailsChoose destination and naming rules.
4. Run and verifyCheck file count, headers, sample rows, and totals.

Export results that remain useful

A successful split preserves context and makes downstream use predictable.

Keep headers

Each part should carry the column names required to interpret its rows.

Use clear filenames

Include part numbers or sanitized column values so outputs can be identified without opening them.

Reconcile counts

Compare source and output row totals, accounting for headers and any deliberate filters.

Split large CSV FAQ

How can I split a large CSV file?

Use DataOlllo's local splitter. Select the file, choose row count, target size, or column values, set an output folder, and run the split.

Can I split without loading the full file into a spreadsheet?

Yes. The split workflow is intended for oversized local files and does not require a worksheet.

Can I create one CSV per region or category?

Yes. Split by a selected column's unique values to create logically grouped outputs.

Will splitting modify the original CSV?

The workflow creates new output files. Keep them in a separate folder and preserve the original as your source of record.

Divide the file without uploading it

For files up to 500 MiB, use the free browser splitter. For multi-gigabyte and repeatable workflows, use DataOlllo Desktop.

Split a CSV in your browser
Published by DataOlllo · Updated July 21, 2026