MongoQUIFahid Digital Ventures
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Related Products
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About
Hue brings the best querying experience with the most intelligent autocomplete and query editor components. The tables and storage browsers leverage your existing data catalog knowledge transparently. Help users find the correct data among thousands of databases and self-document it. Assist users with their SQL queries and leverage rich previews for links, sharing from the editor directly in Slack. Several apps, each one specialized in a certain type of querying are available. Data sources can be explored first via the browsers. The editor shines for SQL queries. It comes with an intelligent autocomplete, risk alerts, and self-service troubleshooting. Dashboards focus on visualizing indexed data but can also query SQL databases. You can now search for certain cell values in the table and the results are highlighted. To make your SQL editing experience, Hue comes with one of the best SQL autocomplete on the planet.
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About
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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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Professionals requiring an SQL assistant to manage their databases and data warehouses
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Audience
Developers, backend engineers, Database administrators, Data Analyst, Business Operations, Start ups, SaaS Companies, MNC Organisations
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and VideosNo images available
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Pricing
Free
Free Version
Supported
Free Trial
Supported
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Pricing
$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
Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationHue
United States
gethue.com
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Company InformationFahid Digital Ventures
Founded: 2024
United Arab Emirates
www.mongoqui.com
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
Amazon S3
Supported
Apache Atlas
Supported
Apache Drill
Supported
Apache Hive
Supported
Apache Knox
Supported
Apache Kylin
Supported
Apache Sentry
Supported
Apache Solr
Supported
Cloudera
Supported
Elasticsearch
Supported
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Integrations
Amazon S3
Not Supported
Apache Atlas
Not Supported
Apache Drill
Not Supported
Apache Hive
Not Supported
Apache Knox
Not Supported
Apache Kylin
Not Supported
Apache Sentry
Not Supported
Apache Solr
Not Supported
Cloudera
Not Supported
Elasticsearch
Not Supported
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