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What is Navicat for MongoDB?

Our professional object designer streamlines the process of creating, modifying, and designing various database components such as Collections, Views, Functions, Indexes, GridFS, and MapReduce, eliminating the need for any scripting. Tailored specifically for MongoDB, Navicat is designed to enhance the effectiveness of your daily database tasks. Its intuitive interface allows users to easily navigate and understand its features, offering innovative solutions for managing MongoDB databases while significantly improving productivity. This versatile tool accommodates all database object types, ensuring seamless management across the board. Regardless of whether you want to edit existing components or develop new ones, our designer makes these tasks straightforward, catering to users of every skill level. Additionally, the tool's comprehensive support fosters an environment where learning and adaptation can flourish, making it a valuable asset for any database user.

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.

Media

Media

Integrations Supported

MongoDB

Integrations Supported

MongoDB
AWS Marketplace
Amazon Athena
Apache Hive
Azure Marketplace
Devart ODBC Drivers
Google Cloud BigQuery
IBM Db2
IBM Informix
LocalStack
MariaDB
Microsoft Access
MySQL
Oracle Cloud CX
Phoenix
PostgreSQL
Presto
SAP Cloud Platform
SQLite
Teradata VantageCloud

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

$11/month
Monthly subscription starts at $11
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

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Navicat

Company Website

navicat.com/en/what-is-navicat-for-mongodb

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

SQL IDEs

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

MongoDB GUI Clients

Not specified

MySQL GUI Clients

Not specified

SQL Editors

Not specified

SQL IDEs

Not specified

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