MongoDB Atlas vs MongoDB Compass

Overview

MongoDB Atlas

Stacks856

Followers940

Votes34

MongoDB Compass

Stacks197

Followers384

Votes0

MongoDB Atlas vs MongoDB Compass: What are the differences?

MongoDB Atlas and MongoDB Compass are two tools provided by MongoDB. MongoDB Atlas is a cloud-based, managed database service. It simplifies database hosting and maintenance. MongoDB Compass is a graphical tool for managing MongoDB databases, enabling easy data exploration and querying. Let's explore the key differences between them:

Functionality: MongoDB Atlas is a fully managed cloud database service with automatic scaling, data backup, security, and global distribution. It frees developers from infrastructure management, allowing them to focus on app development. MongoDB Compass is a GUI tool for MongoDB, providing an intuitive interface for data exploration, querying, and administrative tasks.
Deployment and Management: MongoDB Atlas is designed for managing the deployment and operation of MongoDB databases in the cloud. It simplifies tasks such as provisioning servers, configuring replica sets or sharding, and managing backups. It also provides monitoring and alerting capabilities. MongoDB Compass, on the other hand, is a client-side tool installed on the developer's machine. It connects to a MongoDB database, either locally or on a remote server, and provides an interface for data visualization and manipulation.
User Interface and Querying: MongoDB Atlas does not have a dedicated user interface (UI) but can be accessed through the MongoDB Atlas web console or APIs. It focuses on providing a robust and scalable backend for MongoDB databases. MongoDB Compass, on the other hand, offers a rich UI with graphical representations of data, collections, and indexes. It allows developers to visually explore data, create and modify documents, and run complex queries using a visual query builder or a JavaScript-based query language. MongoDB Compass provides a more interactive and user-friendly experience for working with MongoDB databases.
Data Visualization and Analysis: MongoDB Atlas provides basic monitoring and performance metrics through the MongoDB Atlas web console, allowing developers to track database activity and performance trends. However, it does not offer advanced data visualization or analysis capabilities out of the box. MongoDB Compass, on the other hand, offers features for visualizing data and performing basic analysis tasks. It allows developers to generate charts and graphs based on query results, visualize data distribution on a map, and analyze indexes and query performance.
Integration and Collaboration: MongoDB Atlas provides integration with various MongoDB drivers, frameworks, and third-party tools. It can be easily connected to applications built using different programming languages and frameworks. MongoDB Compass integrates with MongoDB Atlas and other MongoDB deployments, allowing developers to connect to remote databases and collaborate on data exploration and analysis tasks.

In summary, MongoDB Atlas is a cloud database service that focuses on managing the deployment and operation of MongoDB databases, while MongoDB Compass is a graphical user interface tool for interacting with MongoDB databases. MongoDB Atlas provides a scalable and reliable infrastructure for hosting MongoDB databases, while MongoDB Compass offers a visual interface for data exploration, query building, and administrative tasks.

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Detailed Comparison

MongoDB Atlas	MongoDB Compass
MongoDB Atlas is a global cloud database service built and run by the team behind MongoDB. Enjoy the flexibility and scalability of a document database, with the ease and automation of a fully managed service on your preferred cloud.	Visually explore your data. Run ad hoc queries in seconds. Interact with your data with full CRUD functionality. View and optimize your query performance.
Global clusters for world-class applications. Support for 60+ cloud regions across AWS, Azure, & GCP.; Secure for sensitive data. Built-in security controls and features to meet your existing protocols and compliance standards.; Designed for developer productivity. Integrated tools to manipulate, visualize, and analyze your data. Execute code in real time in response to data changes.; Reliable for mission-critical workload. Highly available with distributed fault tolerance and backup options to meet your data recovery objectives.; Built for optimal performance. On-demand scaling, resource optimization tools, and real-time visibility into database performance.	built-in schema visualization; immediate insight into server status and query performance; View utilization and manage your indexes; A simpler way to validate your data; Extensible via plugins;
Statistics
Stacks 856	Stacks 197
Followers 940	Followers 384
Votes 34	Votes 0
Pros & Cons
Pros 10 MongoDB SaaS for and by Mongo, makes it so easy 6 Amazon VPC peering 4 Granular role-based access controls 4 MongoDB atlas is GUItool through you can manage all DB 3 Built-in data browser	No community feedback yet
Integrations
MongoDB	Windows MongoDB Linux

What are some alternatives to MongoDB Atlas, MongoDB Compass?

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.

MongoLab

mLab is the largest cloud MongoDB service in the world, hosting over a half million deployments on AWS, Azure, and Google.

Compose

Compose makes it easy to spin up multiple open source databases with just one click. Deploy MongoDB for production, take Redis out for a performance test drive, or spin up RethinkDB in development before rolling it out to production.

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.

Related Comparisons

Functionality: MongoDB Atlas is a fully managed cloud database service with automatic scaling, data backup, security, and global distribution. It frees developers from infrastructure management, allowing them to focus on app development. MongoDB Compass is a GUI tool for MongoDB, providing an intuitive interface for data exploration, querying, and administrative tasks.
Deployment and Management: MongoDB Atlas is designed for managing the deployment and operation of MongoDB databases in the cloud. It simplifies tasks such as provisioning servers, configuring replica sets or sharding, and managing backups. It also provides monitoring and alerting capabilities. MongoDB Compass, on the other hand, is a client-side tool installed on the developer's machine. It connects to a MongoDB database, either locally or on a remote server, and provides an interface for data visualization and manipulation.
User Interface and Querying: MongoDB Atlas does not have a dedicated user interface (UI) but can be accessed through the MongoDB Atlas web console or APIs. It focuses on providing a robust and scalable backend for MongoDB databases. MongoDB Compass, on the other hand, offers a rich UI with graphical representations of data, collections, and indexes. It allows developers to visually explore data, create and modify documents, and run complex queries using a visual query builder or a JavaScript-based query language. MongoDB Compass provides a more interactive and user-friendly experience for working with MongoDB databases.
Data Visualization and Analysis: MongoDB Atlas provides basic monitoring and performance metrics through the MongoDB Atlas web console, allowing developers to track database activity and performance trends. However, it does not offer advanced data visualization or analysis capabilities out of the box. MongoDB Compass, on the other hand, offers features for visualizing data and performing basic analysis tasks. It allows developers to generate charts and graphs based on query results, visualize data distribution on a map, and analyze indexes and query performance.
Integration and Collaboration: MongoDB Atlas provides integration with various MongoDB drivers, frameworks, and third-party tools. It can be easily connected to applications built using different programming languages and frameworks. MongoDB Compass integrates with MongoDB Atlas and other MongoDB deployments, allowing developers to connect to remote databases and collaborate on data exploration and analysis tasks.

MongoDB Atlas vs MongoDB Compass