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  1. Stackups
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  5. Atlas vs MongoDB Compass

Atlas vs MongoDB Compass

OverviewComparisonAlternatives

Overview

Atlas
Atlas
Stacks33
Followers125
Votes0
MongoDB Compass
MongoDB Compass
Stacks197
Followers384
Votes0

Atlas vs MongoDB Compass: What are the differences?

Introduction

MongoDB is a popular NoSQL database that offers several tools to manage and interact with the database. Two such tools are MongoDB Atlas and MongoDB Compass.

  1. Scalability and Deployment: Atlas is a fully managed database service provided by MongoDB, which allows users to deploy and scale their MongoDB databases easily. It takes care of managing the infrastructure, backups, and security. On the other hand, MongoDB Compass is a GUI tool that provides a visual interface to interact with the MongoDB database. It does not handle the deployment and scaling of the database.

  2. Data Visualization and Exploration: MongoDB Atlas does not provide a rich data visualization or exploration tool. It primarily focuses on database management and scalability. MongoDB Compass, on the other hand, offers a range of data visualization and exploration features. It allows users to visually explore data, write queries, and analyze the results using charts and graphs.

  3. Schema Validation and Management: Atlas does not have built-in tools for schema validation and management. It primarily provides the infrastructure and management capabilities for MongoDB databases. MongoDB Compass, on the other hand, offers features for schema validation and management. Users can define and enforce data types and constraints on their collections using Compass.

  4. Geospatial Data Visualization: MongoDB Atlas does not have specific features for geospatial data visualization. It can store and query geospatial data, but visualizing the data requires using external tools or libraries. MongoDB Compass, however, provides built-in support for visualizing geospatial data. It allows users to visualize and interact with geospatial data on the map.

  5. Performance Analysis and Optimization: Atlas provides performance monitoring and optimization recommendations as part of its managed service. It offers insights into slow-running queries and provides suggestions to improve performance. MongoDB Compass does not have built-in performance analysis and optimization features. It primarily focuses on data visualization and query building.

  6. Security and Access Control: Atlas provides built-in security features, including user authentication, encryption, and network isolation. It also offers fine-grained access control to databases and collections. MongoDB Compass does not have built-in security features. It relies on the security settings and access control defined in the MongoDB server itself.

In Summary, Atlas is a fully managed database service provided by MongoDB that handles deployment, scalability, and performance optimization, while MongoDB Compass is a GUI tool that offers data visualization, schema management, and geospatial data support.

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Detailed Comparison

Atlas
Atlas
MongoDB Compass
MongoDB Compass

Atlas is one foundation to manage and provide visibility to your servers, containers, VMs, configuration management, service discovery, and additional operations services.

Visually explore your data. Run ad hoc queries in seconds. Interact with your data with full CRUD functionality. View and optimize your query performance.

One command to develop any application: vagrant up;One command to deploy any application: vagrant push
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
33
Stacks
197
Followers
125
Followers
384
Votes
0
Votes
0
Integrations
No integrations available
Windows
Windows
MongoDB
MongoDB
Linux
Linux

What are some alternatives to Atlas, MongoDB Compass?

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.

AWS CloudFormation

AWS CloudFormation

You can use AWS CloudFormation’s sample templates or create your own templates to describe the AWS resources, and any associated dependencies or runtime parameters, required to run your application. You don’t need to figure out the order in which AWS services need to be provisioned or the subtleties of how to make those dependencies work.

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.

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