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SQLite

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  1. 1

    A 25 MB open-source, cross-platform database client written in Rust is drawing attention for supporting more than 100 databases, including MySQL, PostgreSQL, SQLite, Redis, MongoDB, DuckDB, SQL Server and Chinese vendor Dameng. It ships as a desktop app, Docker image and CLI, and includes a built-in AI assistant and MCP server. Developers are discussing it as a lean alternative to heavier database management tools.

  2. 2
    Supabase is acquiring database startup Turso●Supabase is acquiring TursoYhn17321 h ago

    Supabase has announced it is acquiring Turso, the company behind the lightweight SQLite-based database platform. The news was published on Supabase's official blog and quickly drew attention among developers discussing consolidation in the database-as-a-service space. Details about deal terms and how Turso's technology will be integrated into Supabase's platform have not yet been made public.

  3. 3
    Supabase raises $150m and acquires database startup Turso●Supabase raises $150m, acquires database startup Turso✉newsBusinessStartups4 h ago

    Supabase, the open-source backend platform, has raised $150 million in funding and acquired Turso, a database startup known for its lightweight SQLite-based technology. The deal points to consolidation in the developer infrastructure space, with observers watching how Supabase will fold Turso's database expertise into its platform.

  4. 4

    SQLite, the embedded database engine, is drawing attention among developers as one of the most widely deployed pieces of software in the world. The open-source library sits inside phones, browsers, and countless applications, handling data locally without a server. Discussions center on its reliability, simplicity, and enduring relevance decades after its creation.

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    Developer details building an automated news pipeline with Flask and AI●Как я автоматизировала новостной поток: Flask, SQLite, AI и ошибки на пути к автопубликации Несколько месяцев назад я наMmastodonTechnologyAI03 d ago

    A developer has written up her experience building an automated news publishing system for an editorial team using Flask, SQLite and AI tools. The project aimed to free journalists from routine tasks so they could focus on reporting rather than manual publishing. She describes the technical setup and the mistakes made along the way to full auto-publication.

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