Showing 5 open source projects for "sql command line"

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  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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  • Fully Managed MySQL, PostgreSQL, and SQL Server Icon
    Fully Managed MySQL, PostgreSQL, and SQL Server

    Automatic backups, patching, replication, and failover. Focus on your app, not your database.

    Cloud SQL handles your database ops end to end, so you can focus on your app.
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  • 1
    Caxpy Simple Data Visualization

    Caxpy Simple Data Visualization

    Caxpy is an easy to use data visualization tool that helps you unde

    Creating beautiful dashboards and thousands of reports that can be embedded into your application can be easily done with Caxpy. Its a very lightweight application which can be used to create reports from just plain SQL queries.
    Downloads: 0 This Week
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  • 2
    Palo ETL Server is a Java based Tool for Extraction, Transformation and Loading of mass data into the Palo OLAP Server. Palo ETL Server is one part of the Palo Suite.
    Downloads: 1 This Week
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  • 3
    Comprehensive & high performance data distribution &transformation system. Features a simple, user-friendly event driven scripting interface transparently generates & execs highly efficient Perl/C code. Uses:ETL,datawarehousing,statistics,data-cleansing.
    Downloads: 0 This Week
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  • 4
    OpenDigger is a java based compiler for the xETL language. xETL is a language specifically projected to read, manipulate and write data in any format and database. With OpenDigger/XETL you can build powerful Extraction-Transformation-Loading (ETL) progs!
    Downloads: 0 This Week
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  • Host LLMs in Production With On-Demand GPUs Icon
    Host LLMs in Production With On-Demand GPUs

    NVIDIA L4 GPUs. 5-second cold starts. Scale to zero when idle.

    Deploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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  • 5
    Server which supports Palo MOLAP (www.jedox.com) HTTP API but uses as data storage traditional relational database.
    Downloads: 0 This Week
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