Overview

ObjectRocket

Stacks5

Followers15

Votes16

MongoDB Atlas

Stacks855

Followers940

Votes34

MongoDB Atlas vs ObjectRocket: What are the differences?

Introduction

In this article, we will compare MongoDB Atlas and ObjectRocket, two popular database hosting services. We will highlight the key differences between these services, focusing on their features and capabilities.

Scalability: MongoDB Atlas offers horizontal scalability, allowing you to scale your databases by adding or removing servers as needed. ObjectRocket, on the other hand, provides automatic vertical scaling, which means the platform automatically adjusts the server's resources based on the workload. This makes ObjectRocket suitable for applications with varying demands, while MongoDB Atlas is ideal for scenarios requiring fine-grained control over scaling.
Global Distribution: MongoDB Atlas provides multi-region clusters, allowing you to distribute your data globally across different geographical locations. This feature enables low-latency access to data from various parts of the world and helps improve the performance of your applications. ObjectRocket primarily focuses on providing regional deployments, which may not be as effective in scenarios where global data distribution is a requirement.
Monitoring and Management: MongoDB Atlas provides a comprehensive management console that offers features like real-time performance monitoring, easy scalability, and automated backups. It also integrates with MongoDB Compass, a GUI tool for database administration. ObjectRocket also offers monitoring and management tools, but the level of detail and ease of use may vary compared to MongoDB Atlas.
Pricing Model: MongoDB Atlas follows a database-as-a-service (DBaaS) pricing model, where you pay for the resources you consume, such as storage, data transfer, and CPU usage. ObjectRocket follows a similar pricing model, but with a focus on inclusive plans that bundle various resources together. The pricing structures of both services depend on factors like database size, instance types, and additional services required.
Supported Integrations: MongoDB Atlas allows seamless integration with various popular services, such as AWS, Azure, and Google Cloud Platform. It provides native integrations and tools that simplify the deployment and management process in these cloud environments. ObjectRocket also offers integrations with cloud platforms like AWS and Azure, but the level of integration and ease of use may vary compared to MongoDB Atlas.
Support and Community: MongoDB Atlas offers comprehensive support, including community forums, documentation, and access to technical support for troubleshooting and guidance. It has a large and active community that contributes to the development and improvement of the platform. ObjectRocket also provides support and community resources but may not have the same scale and depth as MongoDB Atlas.

In summary, MongoDB Atlas and ObjectRocket differ in terms of scalability options, global distribution capabilities, management tools, pricing models, integration support, and community resources. Choosing the right service depends on your specific requirements, such as the need for fine-grained scaling control, global data distribution, ease of management, pricing flexibility, and level of integration with other services and platforms.

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Detailed Comparison

ObjectRocket	MongoDB Atlas
Fast, scalable, and reliably-managed Mongo DB, Redis, Elasticsearch, PostgreSQL, CockroachDB and TimescaleDB. An easy to use DBaaS (database as a service) platform on private or public cloud. Complete DB Management & Administration.	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.
Fast; Scalable; Secure; Reliable managed Mongo DB, Redis, & Elasticsearch; Affordable; Easy migrations;	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.
Statistics
Stacks 5	Stacks 855
Followers 15	Followers 940
Votes 16	Votes 34
Pros & Cons
Pros 2 Mobile-friendly 2 Use it anywhere 2 Fast 2 Easy to spin up an Instance 2 24/7/365 Support	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 Cloud instance to be worked with
Integrations
TimescaleDB Elasticsearch MongoDB PostgreSQL OmniDB Heroku Google Cloud Platform AWS Direct Connect	MongoDB

What are some alternatives to ObjectRocket, MongoDB Atlas?

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.