September 10, 2026 — Withdata Software announces the release of DataFileSplitter 2.5, the cross‑platform desktop utility for breaking oversized data files into smaller, manageable chunks. This release adds two new target output formats: split to fixed‑width text files and split to YAML files, extending support for legacy and configuration‑oriented data workflows.
What’s New in DataFileSplitter 2.5
1. Split to Fixed‑Width Text Files
You can now split large source datasets and export output as fixed‑width text files. This is ideal for legacy mainframe and COBOL‑style data pipelines that require fixed‑length record outputs.
2. Split to YAML Files
Generate split output files in YAML format. Perfect when working with configuration data, DevOps artifacts and structured records that need YAML output after splitting large source files.
3. Built‑in Proven Splitting Capabilities
Building on prior versions, DataFileSplitter continues to support rich splitting features:
- Split Excel by sheet, HTML by table, SQL by table
- Split by record count or column value
- Preserve JSON and XML structure during split
- Command‑line automation and saved splitting sessions
- 100% local offline processing for data privacy
About DataFileSplitter
DataFileSplitter is a cross‑platform tool for splitting huge CSV, TSV, JSON, XML, Excel, SQL, HTML and log files. Available for Windows, macOS and Linux. It helps data engineers, analysts and DBAs divide oversized files for easier sharing, import and further processing, without uploading any sensitive data to external servers.
- Split by row count or column value
- GUI wizard plus command‑line interface for automated pipelines
- Save and reload split task sessions
- Preserve headers, original structure and file encoding
- Fully local processing to protect confidential datasets
Upgrade Today
DataFileSplitter 2.5 is ready for download: https://www.withdata.com/data-file-splitter/download.html. Existing users can update directly. New users may download the free trial to test splitting to fixed‑width text and YAML outputs.
Withdata Software will keep improving DataFileSplitter according to user feedback for real‑world large‑file processing scenarios.