Search Results for "sql explorer"
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Showing 3 open source projects for "sql explorer"
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Easily Host LLMs and Web Apps on Cloud RunRun frontend and backend services, batch jobs, host LLMs, and queue processing workloads without the need to manage infrastructure. Cloud Run gives you on-demand GPU access for hosting LLMs and running real-time AI—with 5-second cold starts and automatic scale-to-zero so you only pay for actual usage. New customers get $300 in free credit to start.
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99.99% Uptime for MySQL and PostgreSQL on Google CloudCloud SQL Enterprise Plus gives you a 99.99% availability SLA with near-zero downtime maintenance—typically under 10 seconds. Get 2x better read/write performance, intelligent data caching, and 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server with built-in vector search for gen AI apps. New customers get $300 in free credit.
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LogicalDOC Document Management - DMS
smart and open source document management system
LogicalDOC is both document management and collaboration system. The software is loaded with many functions and allows organizing, index, retrieving, controlling and distributing important business documents securely and safely for any organization and individual. Gone are the days when companies used paper-based processes such as printing, mailing and manual filing of paper documents; our document management system replaces all of this with electronic procedures that allow your... -
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SQL!kE - PHP, SQL JS - Database Explore
SQL!ke is a PHP mySQL RD Database Editing & Explorer
SQL!ke is a new general project for mastering data effectively stored in a database using PHP and Javascript . This RD Explorer works with existing Databases with Embed SQL Query editor and your Custom Table Views. Keep track of this fresh project as it will include a simple blueprint to manipulate en view interconnected data entities. -
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Jxtray is a database explorer written in Java. Jxtray can be used to connect to any type of database with suitable JDBC drivers. It can provide you with information regarding your data bases and extract data in the following formats: CSV, SQL, HTML, XML
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