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What is MongoQUI?

MongoQUI is a versatile workspace for MongoDB, specifically designed for developers, database administrators, and analysts, available as a desktop application for Windows, macOS, and Linux, as well as through a web browser. It effectively connects to a range of MongoDB environments, including Atlas and self-hosted clusters, providing users with diverse document viewing options in table, tree, and JSON formats. Moreover, it boasts advanced functionalities such as query editing, visual tools for building queries and aggregations, schema inspections, and comprehensive management tools for databases, collections, and indexes. Depending on their subscription tier, users can edit documents, monitor query histories, save queries, and import or export data in formats like JSON, CSV, and Excel. An innovative AI feature that is aware of schema intricacies further optimizes the query drafting process. Additionally, the integrated report builder allows users to convert query results into attractive charts and dashboards, which can be easily refreshed and shared through secure links. With team plans, users benefit from shared connections, role-based access controls, organization management, two-factor authentication, and extensive audit logs. Ultimately, MongoQUI is crafted to enhance both individual and collaborative workflows, with features designed to cater to the distinct needs of various user plans, thereby ensuring a dynamic and efficient working environment for all users, regardless of their expertise level.

What is MongoDB Atlas?

MongoDB Atlas is recognized as a premier cloud database solution, delivering unmatched data distribution and fluidity across leading platforms such as AWS, Azure, and Google Cloud. Its integrated automation capabilities improve resource management and optimize workloads, establishing it as the preferred option for contemporary application deployment. Being a fully managed service, it guarantees top-tier automation while following best practices that promote high availability, scalability, and adherence to strict data security and privacy standards. Additionally, MongoDB Atlas equips users with strong security measures customized to their data needs, facilitating the incorporation of enterprise-level features that complement existing security protocols and compliance requirements. With its preconfigured systems for authentication, authorization, and encryption, users can be confident that their data is secure and safeguarded at all times. Moreover, MongoDB Atlas not only streamlines the processes of deployment and scaling in the cloud but also reinforces your data with extensive security features that are designed to evolve with changing demands. By choosing MongoDB Atlas, businesses can leverage a robust, flexible database solution that meets both operational efficiency and security needs.

Media

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Media

Integrations Supported

Integrations Supported

Ant Media Server
Azure DocumentDB
Azure Functions
BigID
DataLakeHouse.io
DocsGPT
Entitle
Fleece AI
GlobalSUITE
Google Cloud Platform
HiveMQ
Integrate.io
Kubernetes
Microsoft Azure
Orka
Procyon
Quickwork
SAS Studio
Terraform
VisuaLeaf

API Availability

API Availability

Has API

Pricing Information

$119
Free plan for individuals, with one saved connection and no time limit. Basic starts at $119 per seat, billed yearly. A 30-day trial is available for paid plans when the first purchase is a single seat; a payment method is required, and no subscription fee is charged if canceled before the trial ends.
Free Version

Pricing Information

$0.08/hour
Free Version

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Fahid Digital Ventures

Date Founded

2024

Company Location

United Arab Emirates

Company Website

www.mongoqui.com

Company Facts

Organization Name

MongoDB

Date Founded

2007

Company Location

United States

Company Website

www.mongodb.com/atlas

Categories and Features

MongoDB GUI Clients

Not specified

Categories and Features

AI Memory Layers

Not specified

Big Data

Not specified

Data Intelligence

Not specified

Data Management

Not specified

Database

Not specified

Database Backup

Not specified

Distributed Databases

Not specified

Document Databases

Not specified

NoSQL Database

Not specified

Vector Databases

Not specified

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