If you need a tool that can process big CSV files without uploading them to the cloud, Tomat is a good option. It's an in-house information retrieval system that lets you open and investigate big CSV files on your own machine without having to use ZIP archives or the cloud. Tomat has a point-and-click interface, spreadsheet automation and support for lots of file formats, including CSV and Excel. It also has AI-boosted data profiling, translation and analysis, all with your data stored on your own machine.
Another option is Flatfile, which offers a service to import and manage data from many file formats, including CSV. It helps with clean data import, AI-boosted column matching and collaborative data onboarding. Flatfile also offers customizable workflows and smart APIs for developers. The service is designed to cut down on data problems and improve quality so you can handle big data sets without sending them to the cloud.
If you want AI-boosted spreadsheet processing, Luminal offers a tool that can clean, transform and analyze big data sets. It can handle lots of file formats and tens of thousands of rows. Luminal's AI copilot can handle data cleaning, organization and quick analysis with natural language prompts, so it's a good option for processing big data sets on your own machine. The tool also has data visualization tools and strong security.