The tool allows users to upload and query large CSV files locally in their browser using sqlite-wasm, enabling them to download the results afterward without data leaving their device.
sqlite-wasm binary
2024-11-03
- website
Highlight 1
The app provides a seamless and secure querying solution, as all operations are performed locally without transmitting data over the internet.
Highlight 2
It handles large CSV files with ease, making it suitable for users who work with significant datasets.
Highlight 3
The intuitive interface allows users to easily upload files, run queries, and download results, catering to both novice and experienced users.
Improvement 1
The app would benefit from additional query customization options to allow advanced users more control over their queries.
Improvement 2
Incorporating help tutorials or tooltips could enhance user understanding and reduce the learning curve.
Improvement 3
Implementing better error handling and feedback mechanisms would improve user experience when queries fail or run into issues.
Product Functionality
Introduce more advanced querying features, such as joining different CSV files or exporting in various formats (e.g., JSON, Excel).
UI & UX
Enhance the user interface by adding themes, clearer navigation, and more responsive design elements to cater to diverse user preferences.
SEO or Marketing
Consider using blog content, tutorials, and case studies related to data analysis with CSV files to improve search engine visibility and attract more users.
MultiLanguage Support
Implement multilingual support to cater to non-English speaking users, thereby expanding the user base.
- 1
How do I upload a CSV file?
Click on the 'Upload CSV' button on the homepage, select your desired file, and it will be uploaded for querying.
- 2
Is my data safe when using this tool?
Yes, all querying is done locally in your browser, ensuring that your data does not leave your device.
- 3
Can I query large CSV files?
Absolutely! The tool is specifically designed to handle large CSV files efficiently without compromising performance.