QueryZy is a paid tool. Please visit their website for pricing details.

QueryZy

Analyze CSV, JSON, Arrow, and Parquet files in the browser with natural-language questions, charts, and export tools.

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Last Updated 8/28/2026

About QueryZy

QueryZy is a browser-based AI data analysis tool for users who want to explore data files without learning database syntax, spreadsheet formulas, or pivot tables. Users can drag and drop CSV, JSON, Arrow, or Parquet files, ask questions in natural language, turn results into charts, and export the resulting tables and visuals. QueryZy uses DuckDB and WebAssembly to analyze data in the browser, so uploaded files stay on the user’s computer. This local-file workflow can suit confidential analysis, although users still need to determine whether browser-based processing meets their organization’s handling requirements. The product supports cleaning irregular data, combining information from multiple files, filtering and aggregating records, charting results, and converting between supported formats. A paid subscription includes unlimited data analysis, AI prompt suggestions, chart visualization, and exports. New users can test the workflow with a seven-day trial that requires no credit card, and purchases have a seven-day refund window.

Best for

People who need to analyze common data-file formats without learning SQL or advanced spreadsheet formulas.

Analysts who value a browser-based workflow where uploaded files stay on their own computer.

Small teams that can justify a paid subscription for repeated file analysis and report creation.

Best use cases

Choose QueryZy when you need to clean, filter, aggregate, or combine data from supported files.

Use it when natural-language querying and immediate charts can shorten an exploratory analysis workflow.

Evaluate it through the seven-day trial before adopting it for recurring browser-based analysis.

Compare before choosing

Compared with writing SQL manually, QueryZy generates queries from natural-language requests.

Compared with a conventional desktop setup, QueryZy runs its DuckDB and WebAssembly workflow directly in the browser.

The supported workflow centers on CSV, JSON, Arrow, and Parquet files, so compatibility should be checked for other sources.

Features

Ask questions about data files

Upload CSV, JSON, Arrow, or Parquet files and query their contents in natural language instead of writing SQL or spreadsheet formulas.

Clean and combine datasets

Clean irregular values, cross information between multiple files, and select, filter, or aggregate records in the browser.

Create and export analysis

Plot query results as charts, export resulting data tables and visuals, or convert supported files to CSV or JSON.

Pros

Natural-language questions reduce the need to learn SQL or advanced spreadsheet formulas.
Browser-based processing keeps uploaded files on the user’s computer, which can simplify confidential file analysis.
Support for CSV, JSON, Arrow, and Parquet covers several common structured-data workflows.

Cons

QueryZy requires a paid subscription after the seven-day trial, adding a recurring cost for continued use.
The documented import workflow is limited to CSV, JSON, Arrow, and Parquet, so other data sources may require conversion.
Analysis runs in the browser, so teams should confirm that this workflow matches their device and organizational requirements.