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Lecture: Huey: Blazing fast Analytics on Parquet, CSV and JSON - right in your Browser

Leveraging DuckDB WASM to analyze Gigabytes of data and 100's of millions of rows

At FrosCon 2024, I introduced Huey - a Light-weight ROLAP local client on top of DuckDB-WASM, that lets you pivot 100's of millions of rows with ease, directly in your browser.

During this FrosCon presentation, the audience asked some tough questions and proposed some much needed features, in particular the ability to analyze large deeply nested JSON files.

Thanks to this engagement, I have been able to elevate Huey to the next level! And I would love to bring the results back to FrosCon 2025.

Key features, many of which were added thanks to Froscon 2024 Engagement:
- Supports reading .parquet, .csv, .json and .duckdb database files. (Support for reading MS Excel .xlsx files and .sqlite is planned)
- A comprehensive Attribute menu for exploring the structure of your dataset
- An intuitive query builder that supports projection, aggregation, filtering, and (sub)totals
- A pivot table to present analysis results
- Many different aggregate functions for reporting and data exploration
- Automatic breakdown of date/time columns into separate parts (year, month, quarter etc) for reporting
- Support for array and STRUCT data types
- Export of results and/or SQL queries to file or clipboard
- Blazing fast, even for large files - courtesy of DuckDB
- Truly light-weight. Huey depends on DuckDb-WASM, and Tabler Icons, but nothing more. If it makes sense, dependencies might be added, but up till now we get along fine with what the browser gives us. And that's enough.
- Accessible. Huey uses semantic HTML and aria-roles. Please let us know if you find Huey has accessibility issues!
- Zero install. Huey is a static webapp so you can simply download or checkout the source tree, and open src/index.html in your browser - no server required. Alternatively, use the Live demo site. Being a static webapp, Huey can run locally without a server, but there is nothing that keeps you from serving it from a webserver if you need or want to.
- It's free! Huey is released under the MIT license, just like DuckDB.

Info

Day: 2025-08-16
Start time: 14:30
Duration: 01:00
Room: HS 6
Track: Database
Language: en

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