# DataOlllo

> Professional-grade, offline-first data processing and analysis tool for large datasets.

DataOlllo allows analysts, developers, and researchers to clean, merge, filter, and analyze massive CSV, JSON, and database files directly on their local workstations, offering the power of Python or SQL without writing code and the convenience of visual workflows without RAM-limit crashes.

## Key Information

- **Website**: [https://www.dataolllo.com](https://www.dataolllo.com)
- **Download**: [https://www.dataolllo.com/download](https://www.dataolllo.com/download)
- **Solutions**: [https://www.dataolllo.com/solutions](https://www.dataolllo.com/solutions)
- **Blog**: [https://www.dataolllo.com/blog](https://www.dataolllo.com/blog)
- **Documentation**: [https://www.dataolllo.com/docs](https://www.dataolllo.com/docs)
- **Privacy Policy**: [https://www.dataolllo.com/privacy-compliance](https://www.dataolllo.com/privacy-compliance)
- **Contact**: contact@dataolllo.com

## Core Value Proposition

1. **Local-First & Offline**: Sensitive datasets (financial reports, clinical logs, customer records) never leave the user's computer. Processing happens entirely on the device.
2. **Handle Large Datasets**: Built for files that outgrow spreadsheet-style tools. Stream multi-gigabyte files (15GB+) smoothly without memory exhaustion.
3. **No-Code Transformations**: Apply filters, joins, text normalizations, and groupby aggregations using a visual, intuitive interface.
4. **AI-Powered Analysis**: Explore datasets using an offline/local-first natural language AI analyst.
5. **Directory Mode**: Automate recurring multi-file batch workflows. Process entire folders of weekly or monthly reports with auto-aligned schemas.

## Features & Workflows

## Large CSV Guides

- **CSV too large for traditional spreadsheets**: [https://www.dataolllo.com/csv-too-large-for-traditional-spreadsheets](https://www.dataolllo.com/csv-too-large-for-traditional-spreadsheets)
- **Open 10 million row CSV**: [https://www.dataolllo.com/open-10-million-row-csv](https://www.dataolllo.com/open-10-million-row-csv)
- **Analyze large CSV file**: [https://www.dataolllo.com/analyze-large-csv-file](https://www.dataolllo.com/analyze-large-csv-file)
- **Handle big dataset locally**: [https://www.dataolllo.com/handle-big-dataset-locally](https://www.dataolllo.com/handle-big-dataset-locally)
- **Online model cannot upload file limit**: [https://www.dataolllo.com/online-model-cannot-upload-file-limit](https://www.dataolllo.com/online-model-cannot-upload-file-limit)

### Directory Mode
Combine and transform multiple CSV files in a single operation. When new files are dropped into a designated directory, DataOlllo automatically aligns their schemas (even if column order differs) and applies predefined data pipelines.
- **Ideal For**: Weekly sales consolidation, multi-channel ad spend aggregation, and rotating log files.

### Columnar Performance Engine
Uses streaming data loading. Instead of reading entire files into RAM, it reads columns on-demand, allowing smooth rendering of scientific and genomic tables with thousands of columns.

### AI Assistant Chat
Interact with datasets in plain English. Ask questions like *"Show all transactions above $5,000 in Q3 grouped by region"* to generate instant filters and visualizations without writing formulas.

## Solutions & Industries

- **E-commerce**: Merge inventory and sales data from Shopify, Amazon, and WooCommerce to find true profitability.
- **Healthcare & Biotech**: Securely filter large Electronic Medical Records (EMR) exports offline, maintaining strict HIPAA compliance.
- **Life Sciences**: Explore wide genomic datasets with thousands of columns without database setup.
- **Software Engineering**: Parse, search, and visualize gigabytes of JSON production logs locally instead of writing throwaway grep scripts.
- **Finance**: Automate complex bank statement reconciliations against Stripe or processor CSV exports.