OtterMind/Chat2DB
Chat2DB is an AI-powered database client and SQL workspace supporting various databases, including ClickHouse, for developers, DBAs, analysts, and data teams.
Duckling is a lightweight desktop application designed for fast and efficient viewing of data stored in CSV and Parquet files as well as various databases. Built using the Tauri framework, Duckling aims to provide users with a quick browsing experience rather than a full-fledged database management system. It supports popular databases such as DuckDB and SQLite, with experimental support for PostgreSQL, MySQL, Clickhouse, and Doris/StarRocks. Notably, for Clickhouse, only the Native Protocol port (usually port 9000) is supported, which is important for users connecting to Clickhouse databases. The application is actively under development and currently considered unstable, indicating ongoing improvements and feature additions. Duckling is cross-platform and can be installed from pre-built releases available on its GitHub page. For Windows users, there is a note about the requirement of Webview2, which can be installed offline if network issues prevent automatic installation. The primary use case for Duckling is to open and browse data folders or DuckDB files quickly, making it a handy tool for data analysts, developers, or anyone needing to inspect data without the overhead of complex database management tools. The interface supports dark and light themes, enhancing usability in different lighting conditions. Overall, Duckling is a practical tool for users who need to rapidly access and view data from multiple sources including files and databases, with a focus on speed and simplicity rather than comprehensive database management features. Its support for Clickhouse, among other databases, makes it relevant for users working with large-scale analytical databases.
https://github.com/l1xnan/duckling
Chat2DB is an AI-powered database client and SQL workspace supporting various databases, including ClickHouse, for developers, DBAs, analysts, and data teams.
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