Showing 3 open source projects for "database software"

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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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  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

    Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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  • 1
    SCADA-LTS

    SCADA-LTS

    A comprehensive Supervisory Control, Data Acquisition, and Execution

    SCADA-LTS is an advanced FOSS, web-based, multi-platform environment designed to build your own Supervisory Control, Data Acquisition, and Management Execution Software - SCADA/MES. Its architecture provides a robust foundation for complex industrial automation and monitoring. Optimized for Smart Infrastructure, it is highly capable of managing industrial PV/BESS, Smart buildings, municipal Water networks or Wastewater treatment, ANPR telemetry, City-wide lighting, and other diverse data...
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    Downloads: 23 This Week
    Last Update:
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  • 2
    DEVS-Suite Simulator

    DEVS-Suite Simulator

    Component, CA, and CCA models; superdense time, DB repo, testing, etc.

    .... `09], 2 [`03] See PVM: Visual Persistent Hierarchical Component-based Modeler (https://acims.asu.edu/persistent-visual-modeler/ ) and CoSMoSim: hierarchical visual modeling, database model repository, families of models, statecharts, partial-code generation for XML/DEVS-Suite models (https://acims.asu.edu/software/cosmos/).
    Downloads: 4 This Week
    Last Update:
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  • 3
    IoT Technical Guide

    IoT Technical Guide

    IoT Technical Guide - Building a High-Performance IoT Platform

    ...The guide covers topics such as IoT market context, device models, ThingsBoard source-code learning, MQTT broker setup, CoAP services, message peak shaving, data modeling, and database selection. It is intended for developers who want to learn how real IoT platforms organize devices, messages, protocols, and backend services. The repository is especially useful as a structured study path for readers preparing to build or customize an IoT platform. It functions more as a technical tutorial and roadmap than as a single installable software package.
    Downloads: 0 This Week
    Last Update:
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