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What is Mingo?
Instantly access data relationships right within the document itself. Mingo smartly detects document references and offers a preview or lets you open the document with just a click. By minimizing the number of clicks and tasks required, you can streamline your workflow and work more efficiently. Gather all vital data into a clear overview and create a customized dashboard that showcases the information that is most relevant to you. The Mingo Aggregator is specifically designed to support you in this endeavor. Featuring an intuitive visual interface, it provides a straightforward understanding of the pipeline's operations, presents the results at each phase, and identifies any potential errors. As you enter commands, the Aggregator offers autocomplete suggestions, checks your code for accuracy, and pulls up sample outcomes for each step, ensuring you receive immediate feedback and confirming whether your coding behaves as expected. Furthermore, if you require assistance with command usage, easy-to-access links to documentation are available to enhance your experience, making it even more user-friendly. This multifaceted tool serves as a valuable resource for anyone aiming to improve their data management and coding productivity, ultimately transforming the way you work with data.
What is DBeaver Community?
Presenting a flexible and complimentary database management solution tailored for developers, database administrators, analysts, and anyone who interacts with databases. This tool is compatible with a broad array of widely-used databases, such as MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, MS Access, Teradata, Firebird, Apache Hive, Phoenix, and Presto, among others. The latest enhancements feature a new format configuration editor for the "Copy As" functionality, improved performance through added configurations in the filter dialog, and a sorting capability by column that maintains fixed settings for smaller fetch sizes. Users can now take advantage of case-insensitive filters, and the plaintext view has been upgraded with the addition of top and bottom dividers for better organization. Moreover, the data editor has been revised to resolve issues related to conflicts between column names and alias names, while the command for duplicating rows has been corrected for scenarios involving multiple selections. The context menu has been refreshed to reinstate the edit sub-menu, and new auto-sizing configurations for columns have been implemented to enhance usability. In addition, the dictionary viewer has been fixed for compatibility with read-only connections, and new features allow for highlighting of current and selected rows, which users can customize based on their preferences. This tool is committed to continuous improvement, ensuring that users have an optimal experience while managing their database tasks and challenges. The focus remains on providing a powerful, user-friendly interface that keeps pace with evolving technology and user needs.
Integrations Supported
MongoDB
AWS Marketplace
Apache Hive
Azure Marketplace
CrateDB
Devart ODBC Drivers
Firebird
Google Cloud BigQuery
IBM Db2
IBM Informix
API Availability
API Availability
Pricing Information
Free
Free Version
Pricing Information
$11/month
Monthly subscription starts at $11
Annual subscription starts at $110
Annual subscription starts at $110
Free Trial Offered?
Supported Platforms
Windows
Mac
Linux
Supported Platforms
Windows
Mac
On-Prem
Linux
Customer Service / Support
Web-Based Support
Customer Service / Support
Standard Support
Web-Based Support
Training Options
Not specified
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Mingo
Company Website
mingo.io
Company Facts
Organization Name
DBeaver Corp.
Date Founded
2017
Company Location
United States
Company Website
dbeaver.io
Categories and Features
Database Clients
Not specified
MongoDB GUI Clients
Not specified
Categories and Features
Data Modeling
Not specified
Database
Backup and Recovery
Creation / Development
Data Migration
Data Search
Data Security
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Database Clients
Not specified
Database Management Systems (DBMS)
Not specified
MongoDB GUI Clients
Not specified
MySQL GUI Clients
Not specified
PostgreSQL GUI Clients
Not specified
SQL Editors
Not specified
SQL IDEs
Not specified