MongoQUI
MongoQUI is a MongoDB workspace for developers, database administrators and analysts, available as a desktop application for Windows, macOS and Linux and through a browser. It connects to MongoDB deployments, including Atlas and self-hosted clusters, and provides document browsing in table, tree and JSON views, query editing, visual query and aggregation builders, schema inspection, and database, collection and index tools. Depending on the plan, users can edit documents, review query history, save queries, and import or export JSON, CSV and Excel data. Schema-aware AI can help draft queries. A report builder turns results into charts and dashboards that can be refreshed and shared through protected links. Team plans add shared connections, role-based access, organization management, two-factor authentication and audit logs. It supports individual and team workflows, with features varying by plan.
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Mongo Pilot
The AI MongoDB GUI</a> and Management tool.
Chat with your data, build queries visually, and manage MongoDB locally, no cloud required.
MongoPilot is an intelligent desktop GUI and management tool designed to streamline your MongoDB experience. With its drag-and-drop visual query builder, MongoPilot makes crafting MongoDB queries effortless, enabling you to filter and sort data without complex syntax. The platform also features a local AI assistant, which allows you to chat with your database and generate queries in natural language, all while ensuring your data remains secure on your local machine. MongoPilot is perfect for MongoDB developers seeking a simple, efficient, and AI-enhanced database management tool.
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MongoDB Atlas
5.0 out of 5 stars
(1 Rating)
The most innovative cloud database service on the market, with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more. MongoDB Atlas is the global cloud database service for modern applications. Deploy fully managed MongoDB across AWS, Google Cloud, and Azure with best-in-class automation and proven practices that guarantee availability, scalability, and compliance with the most demanding data security and privacy standards. The best way to deploy, run, and scale MongoDB in the cloud. MongoDB Atlas offers built-in security controls for all your data. Enable enterprise-grade features to integrate with your existing security protocols and compliance standards. With MongoDB Atlas, your data is protected with preconfigured security features for authentication, authorization, encryption, and more.
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VisuaLeaf
5.0 out of 5 stars
(1 Rating)
VisuaLeaf is a cross-platform database GUI for MongoDB, PostgreSQL, MySQL, SQL Server, and Oracle. It helps developers explore and edit data, build queries and MongoDB aggregation pipelines visually, create and reverse-engineer schema diagrams, manage indexes, analyze query performance, and work with an integrated MongoDB shell and SQL editor. VisuaLeaf also includes collection comparison, data synchronization, task automation, data masking, import and export tools, charts, dashboards, user management, and secure SSH and SOCKS5 connections. It is available for Windows, macOS, and Linux.
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