Apps tagged with 'parquet'

Pink Parquet is a free, open-source desktop application for lightning-fast Parquet file inspection. View, query, and analyze columnar data locally without the need for a heavy cloud environment or complex Python scripts.

Squey is an open-source visualization software designed to interactively explore and understand large amounts of tabular data.

A blazing-fast, lightweight, 100% client-side AI-enabled data exploration tool that helps you analyze local & remote data with zero setup. Powered by DuckDB-Wasm and integrated AI assistance.

DataKit allows users to open multi-gigabtye locally stored files or connect to remotely hosted data sources to help them view, audit, query and visualise data with ease.

xDiscover is a free, feature-rich IDE built to simplify the complexities of working with Apache Spark. Designed for both novice and experienced developers, xDiscover helps you explore Spark SQL and other Spark functionalities without needing deep expertise in Python, Java, or...

Open and filter your parquet files without writing code. If you install the desktop app then you can open parquet files from your desktop by double clicking them.

Duck-UI is a web-based interface for interacting with DuckDB, a high-performance analytical database system. This project leverages DuckDB's WebAssembly (WASM) capabilities to provide a seamless and efficient user experience directly in the browser.

DuckLake delivers advanced data lake features without traditional lakehouse complexity by using Parquet files and your SQL database. It's an open, standalone format from the DuckDB team.

Hugr is an open source Data Mesh platform that provides a unified GraphQL API across distributed data sources. Built with Go and powered by DuckDB's blazing-fast in-process analytics engine, Hugr enables lightning-speed cross-source JOINs and aggregations directly in memory.

Turn spreadsheets and data files into production-ready APIs without writing backend code. Upload CSV, JSONL, Parquet and other formats, clean and join them with familiar SQL, and expose secure, documented endpoints instantly.