Microsoft SQL Server Management Studio vs MongoDB Cloud Manager

Overview

MongoDB Cloud Manager

Stacks59

Followers80

Votes0

Microsoft SQL Server Management Studio

Stacks503

Followers445

Votes0

Microsoft SQL Server Management Studio vs MongoDB Cloud Manager: What are the differences?

Introduction

User Interface: Microsoft SQL Server Management Studio (SSMS) provides a graphical user interface for managing SQL Server databases, while MongoDB Cloud Manager offers a centralized web-based interface for managing MongoDB deployments.
Database Compatibility: SSMS is designed specifically for Microsoft SQL Server databases, providing tools and features focused on SQL Server. In contrast, MongoDB Cloud Manager is tailored for MongoDB databases, offering management functionalities specific to MongoDB deployments.
Monitoring Capabilities: MongoDB Cloud Manager provides in-depth monitoring and performance metrics for MongoDB databases, helping users optimize query performance and diagnose issues efficiently. On the other hand, SSMS offers monitoring features for SQL Server databases to track resource usage and query execution.
Automated Backup and Restore: MongoDB Cloud Manager offers automated backup and restore capabilities for MongoDB databases, allowing users to schedule backups and recover data easily. While SSMS supports backup and restore operations for SQL Server databases, it may require manual configuration and scheduled tasks.
Security Features: MongoDB Cloud Manager provides built-in security features such as role-based access control and encryption for data at rest and in transit, ensuring data protection in MongoDB deployments. In comparison, SSMS offers security features tailored for SQL Server databases, such as user authentication and authorization mechanisms.
Scalability and Sharding: MongoDB Cloud Manager offers tools for managing scalability and sharding in MongoDB deployments, allowing users to distribute data across multiple nodes efficiently. In contrast, SSMS provides tools for managing database replication and clustering in SQL Server environments to enhance high availability and fault tolerance capabilities.

In Summary, Microsoft SQL Server Management Studio and MongoDB Cloud Manager differ in their user interface, database compatibility, monitoring capabilities, backup and restore functionalities, security features, and scalability management tools.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs

CLI (Node.js)

Manual

Advice on MongoDB Cloud Manager, Microsoft SQL Server Management Studio

Aashwiin

Feb 6, 2020

Needs advice

I am looking to build an azure database that connects to my power bi application. Initially, I attempted to create an Azure SQL database, then realized I needed to have SQL Server Management Service in order to manage and connect between Azure SQL <=> Power BI, but since I am on a Mac, I had to use the complex installation as a workaround.

If MySQL Workbench can solve this (as the product is available on Mac), I am more than happy to proceed with this approach if it can achieve the same goal of connecting an azure database with my Power BI application

What I am trying to achieve is fairly simple: have an online cloud database that connects to my Power BI application

I am open to any other solutions as well

Thank you

227k views227k

Comments

Detailed Comparison

MongoDB Cloud Manager	Microsoft SQL Server Management Studio
It is a hosted platform for managing MongoDB on the infrastructure of your choice. It saves you time, money, and helps you protect your customer experience by eliminating the guesswork from running MongoDB.	It is an integrated environment for managing any SQL infrastructure, from SQL Server to Azure SQL Database. It provides tools to configure, monitor, and administer instances of SQL Server and databases. Use it to deploy, monitor, and upgrade the data-tier components used by your applications, as well as build queries and scripts.
Real-time Visualizations; Monitoring;backup;Automation for your MongoDB environment; Deployment Creation ; Zero Downtime Upgrades and Downgrades	Integrated environment for managing any SQL infrastructure; Configure, monitor, and administer instances of SQL Server and databases; Deploy, monitor, and upgrade the data-tier components used by your applications, and build queries and scripts
Statistics
Stacks 59	Stacks 503
Followers 80	Followers 445
Votes 0	Votes 0
Integrations
New Relic MongoDB	Microsoft SQL Server

What are some alternatives to MongoDB Cloud Manager, Microsoft SQL Server Management Studio?

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

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

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

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

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

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 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

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.

Related Comparisons

Microsoft SQL Server Management Studio vs MongoDB Cloud Manager: What are the differences?

Introduction

User Interface: Microsoft SQL Server Management Studio (SSMS) provides a graphical user interface for managing SQL Server databases, while MongoDB Cloud Manager offers a centralized web-based interface for managing MongoDB deployments.
Database Compatibility: SSMS is designed specifically for Microsoft SQL Server databases, providing tools and features focused on SQL Server. In contrast, MongoDB Cloud Manager is tailored for MongoDB databases, offering management functionalities specific to MongoDB deployments.
Monitoring Capabilities: MongoDB Cloud Manager provides in-depth monitoring and performance metrics for MongoDB databases, helping users optimize query performance and diagnose issues efficiently. On the other hand, SSMS offers monitoring features for SQL Server databases to track resource usage and query execution.
Automated Backup and Restore: MongoDB Cloud Manager offers automated backup and restore capabilities for MongoDB databases, allowing users to schedule backups and recover data easily. While SSMS supports backup and restore operations for SQL Server databases, it may require manual configuration and scheduled tasks.
Security Features: MongoDB Cloud Manager provides built-in security features such as role-based access control and encryption for data at rest and in transit, ensuring data protection in MongoDB deployments. In comparison, SSMS offers security features tailored for SQL Server databases, such as user authentication and authorization mechanisms.
Scalability and Sharding: MongoDB Cloud Manager offers tools for managing scalability and sharding in MongoDB deployments, allowing users to distribute data across multiple nodes efficiently. In contrast, SSMS provides tools for managing database replication and clustering in SQL Server environments to enhance high availability and fault tolerance capabilities.

Microsoft SQL Server Management Studio vs MongoDB Cloud Manager

Overview