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  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Tools
  5. AzureDataStudio vs Robomongo

AzureDataStudio vs Robomongo

OverviewDecisionsComparisonAlternatives

Overview

Robo 3T
Robo 3T
Stacks99
Followers170
Votes0
GitHub Stars9.4K
Forks816
AzureDataStudio
AzureDataStudio
Stacks89
Followers108
Votes0
GitHub Stars7.7K
Forks961

AzureDataStudio vs Robomongo: What are the differences?

Introduction

When selecting a database management tool, it is essential to understand the key differences between Azure Data Studio and Robomongo. Both tools offer unique features and functionalities that cater to distinct user needs.

  1. User Interface: Azure Data Studio provides a modern and user-friendly interface with customizable dashboards, while Robomongo has a simpler interface focused on functionality rather than aesthetics. Users who prefer a visually appealing environment may lean towards Azure Data Studio, whereas those who prioritize functionality may opt for Robomongo.

  2. Compatibility: Azure Data Studio is compatible with multiple database platforms such as SQL Server, PostgreSQL, and MySQL, making it a versatile tool for managing various databases. In contrast, Robomongo is specifically designed for MongoDB, offering specialized features for working with this particular database type. Users requiring cross-platform compatibility may find Azure Data Studio more advantageous.

  3. Query Editing: Azure Data Studio offers robust query editing capabilities with IntelliSense, code snippets, and query history features, enhancing the user experience for database developers. On the other hand, Robomongo provides essential query editing functionalities without the advanced features found in Azure Data Studio. Developers seeking a comprehensive query editing tool may prefer Azure Data Studio for its additional capabilities.

  4. Extensions and Plugins: Azure Data Studio supports a wide range of extensions and plugins that allow users to enhance the tool's functionality based on their specific requirements. In comparison, Robomongo has limited support for extensions, limiting the customization options available to users. For individuals who value flexibility and customization, Azure Data Studio's extensive extension ecosystem may be more appealing.

  5. Collaboration Features: Azure Data Studio includes collaboration features such as Live Share, enabling multiple users to collaborate in real-time on query editing and debugging tasks. This functionality is absent in Robomongo, which focuses primarily on individual database management tasks. Teams requiring collaborative editing capabilities may find Azure Data Studio better suited to their needs.

  6. Cost: Azure Data Studio is a free and open-source tool, providing cost-effective database management solutions for users. On the other hand, Robomongo offers both free and paid versions, with certain advanced features available only in the premium version. Users looking for a cost-effective solution without sacrificing essential functionalities may prefer Azure Data Studio.

In Summary, understanding the key differences between Azure Data Studio and Robomongo in terms of user interface, compatibility, query editing, extensions/plugins, collaboration features, and cost can help users make an informed decision based on their specific database management requirements.

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Advice on Robo 3T, AzureDataStudio

Manikandan
Manikandan

Software Engineer at Blitzscaletech Software Solution

Jul 20, 2020

Needs adviceonDBeaverDBeaverAzureDataStudioAzureDataStudio

Which tools are preferred if I choose to work on more data side? Which one is good if I decide to work on web development? I'm using DBeaver and am now considering a move to AzureDataStudio to break the monotony while working. I would like to hear your opinion. Which one are you using, and what are the things you are missing in dbeaver or data studio.

1.74M views1.74M
Comments

Detailed Comparison

Robo 3T
Robo 3T
AzureDataStudio
AzureDataStudio

It is a visual tool helping you manage Database MongoDB. It is a part of free open source software supporting all of three operating systems: Windows, Linux, Mac OS.

It is a cross-platform database tool for data professionals using the Microsoft family of on-premises and cloud data platforms on Windows, MacOS, and Linux.

-
Cross-Platform DB management for Windows, macOS and Linux with simple XCopy deployment; SQL Server Connection Management with Connection Dialog, Server Groups, Azure Integration and Registered Servers; Object Explorer supporting schema browsing and contextual command execution; T-SQL Query Editor with advanced coding features such as autosuggestions, error diagnostics, tooltips, formatting and peek definition; Query Results Viewer with advanced data grid supporting large result sets, export to JSON\CSV\Excel, query plan and charting; Management Dashboard supporting customizable widgets with drill-through actionable insights; Visual Data Editor that enables direct row insertion, update and deletion into tables
Statistics
GitHub Stars
9.4K
GitHub Stars
7.7K
GitHub Forks
816
GitHub Forks
961
Stacks
99
Stacks
89
Followers
170
Followers
108
Votes
0
Votes
0
Integrations
No integrations available
Linux
Linux
Git
Git
macOS
macOS
Microsoft SQL Server
Microsoft SQL Server
Windows
Windows
Azure SQL Database
Azure SQL Database

What are some alternatives to Robo 3T, AzureDataStudio?

dbForge Studio for MySQL

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

dbForge Studio for Oracle

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

dbForge Studio for PostgreSQL

dbForge Studio for PostgreSQL

It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.

dbForge Studio for SQL Server

dbForge Studio for SQL Server

It is a powerful IDE for SQL Server management, administration, development, data reporting and analysis. The tool will help SQL developers to manage databases, version-control database changes in popular source control systems, speed up routine tasks, as well, as to make complex database changes.

Liquibase

Liquibase

Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.

Sequel Pro

Sequel Pro

Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.

DBeaver

DBeaver

It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.

dbForge SQL Complete

dbForge SQL Complete

It is an IntelliSense add-in for SQL Server Management Studio, designed to provide the fastest T-SQL query typing ever possible.

Knex.js

Knex.js

Knex.js is a "batteries included" SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle designed to be flexible, portable, and fun to use. It features both traditional node style callbacks as well as a promise interface for cleaner async flow control, a stream interface, full featured query and schema builders, transaction support (with savepoints), connection pooling and standardized responses between different query clients and dialects.

Flyway

Flyway

It lets you regain control of your database migrations with pleasure and plain sql. Solves only one problem and solves it well. It migrates your database, so you don't have to worry about it anymore.

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