4 projects for "heterogeneous database" with 2 filters applied:

  • 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
    Biomedical Information Management System (BIMS) is a modular multilayer object - oriented software architecture, which provides a flexible computational solution to capture and manage a heterogeneous biomedical data: textual and visual information.
    Downloads: 0 This Week
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  • 2
    Migratool is a software tool, which aims to easy the geospatial (and non-geospatial) data migration among both distributed and heterogeneous data sources. This tool is based on a three tiers architecture and it has been implemented using the J2EE archite
    Downloads: 0 This Week
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  • 3
    Generic Python driven XML/CGI interface to heterogeneous databases for the TAPIR and WFS protocols
    Downloads: 0 This Week
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  • 4
    The OpenOGI project is an open source library to integrate heterogeneous and distributed geographic objects (features) based on ontology and OGC WFS specification. This library is an open academic tool.
    Downloads: 0 This Week
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  • 99.99% Uptime for MySQL and PostgreSQL Databases Icon
    99.99% Uptime for MySQL and PostgreSQL Databases

    Sub-second maintenance. 2x read/write performance. Built-in vector search for AI apps.

    Cloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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