Overview
What is MongoDB Atlas?
MongoDB Atlas is the company's automated managed cloud service, supplying automated deployment, provisioning and patching, and other features supporting database monitoring and optimization.
Great out of the box solution for documents data
Great solution for NoSQL database
MongoDB Atlas Review
Popular Features
- Automatic software patching (5)9.595%
- Automated backups (5)9.595%
- Database security provisions (5)9.595%
- Database scalability (5)9.090%
Reviewer Pros & Cons
Pricing
Dedicated Clusters
$57
Dedicated Multi-Reigon Clusters
$95
Shared Clusters
Free
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Features
Database-as-a-Service
Database as a Service (DBaaS) software, sometimes referred to as cloud database software, is the delivery of database services ocer the Internet as a service
- 9.5Automatic software patching(5) Ratings
Patches applied to database automatically
- 9Database scalability(5) Ratings
Ease of scaling compute or memory resources and storage up or down
- 9.5Automated backups(5) Ratings
Automated backup enabling point-in-time data recovery
- 9.5Database security provisions(5) Ratings
Provision for database encryption, network isolation, and identity access management
- 9.5Monitoring and metrics(5) Ratings
Built-in monitoring of multiple operational metrics
- 9Automatic host deployment(5) Ratings
Compute instance replacement in the event of hardware failure
Product Details
- About
- Tech Details
- FAQs
What is MongoDB Atlas?
MongoDB Atlas Video
MongoDB Atlas Technical Details
Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
---|---|
Operating Systems | Unspecified |
Mobile Application | No |
Frequently Asked Questions
Comparisons
Compare with
Reviews and Ratings
(59)Community Insights
- Business Problems Solved
- Pros
- Cons
- Recommendations
Users highly value MongoDB's Atlas search feature, which eliminates the need for external services like Elasticsearch for searching purposes. MongoDB is a versatile tool commonly used for tasks such as analyzing datasets, generating reports, and creating dashboards. Its ease of integration, configuration, and user-friendliness make it the preferred platform for database storage in various projects. MongoDB excels in performance for e-commerce and social media apps, offering real-time data updates and optimization methods. Users also appreciate MongoDB's search capabilities across different data types and languages, allowing them to fine-tune relevance and enhance search results. MongoDB is utilized for a wide range of operations including finding, indexing, aggregating, managing search indexes, and inserting documents. Additionally, its simplified installation and configuration process simplifies server setup and management. For advanced needs, MongoDB offers a managed platform to address challenges like setting up and recovering shards in a virtual machine. Enterprises particularly value MongoDB's uptime and replicaset management for reliable database solutions. The simplicity of integration along with its web-based setup makes MongoDB a popular choice for developers across diverse projects. MongoDB's cloud-based managed service makes it an effective production server solution for many organizations. Furthermore, MongoDB's security features eliminate the need for hosting databases locally or on other platforms. Users also appreciate MongoDB's pricing structure and the user-friendly UI/UX design that contributes to overall business performance improvement. Developers often pair MongoDB with Node.js and Express.js, integrating it with the mongoose package for efficient server-side development and cloud database management. MongoDB's cloud-based platform facilitates easy creation and management of sandbox databases for development and UAT environments. With its simplified data format and seamless integration with the mongoose library, MongoDB becomes the preferred choice for handling freelancing project databases. Users leverage MongoDB for various tasks including viewing app databases, updating data for testing purposes, filtering and searching data efficiently. Additionally, MongoDB proves useful in storing comprehensive information related to trip resources in a single document and referencing data. MongoDB's provisions for legacy pair coordination and cluster management further enhance cloud migration and operability for customer use cases. MongoDB's cloud-based database service eliminates the need for infrastructure management, ensuring reliable performance and making it superior to other providers. MongoDB simplifies data storage for microservices with minimal coding by storing documents with accessible data through web APIs. The ease of use, good documentation, and lack of the need for a dedicated DBA make MongoDB a suitable solution for small companies. Hosting and managing multiple instances is made simpler with MongoDB, providing flexibility, collaborative development environments. MongoDB solves the problem of moving MongoDB to the cloud, offering scalability and offloading the complexity of hardware and infrastructure management. Its cloud storage enhances development environment flexibility, collaboration, and manageability. With MongoDB's built-in search functionality, including features like fuzzy search, users no longer need to rely on external frameworks like Elasticsearch. While querying a dataset in MongoDB may require some learning, it still serves as a robust solution for high-speed database operations and secure storage of large amounts of data. MongoDB's ease of use and seamless integration with various applications make it a preferred choice compared to other database services. The user-friendly database management UI provided by MongoDB simplifies the task of managing databases. Moreover, MongoDB's NoSQL database offers excellent performance and provides usage insights through chart formats. Its scalability, indexing capabilities, replica generation, and sharding capabilities make it a powerful solution for handling large-scale databases. The cloud version of MongoDB impresses developers with its useful experience, eliminating the need for the MongoDB shell on local machines. It enables globally distributed SaaS cloud-based solutions by providing individual databases for each customer, simplifying the process and reducing costs compared to setting up personal servers. Users also appreciate MongoDB's faster retrieval speed and efficient insertion in handling data operations. Several users have reported that switching to MongoDB from PostgreSQL has resulted in benefits such as increased testing speed, reduced bugs, and an overall improved user experience. Additionally, MongoDB has played a significant role in storing and managing information for school projects, ensuring project functionality and user satisfaction. Some users may explore alternative options to mLab MongoDB once they discover other MongoDB solutions that better suit their needs. Lastly, MongoDB is used in building platforms for customers where it solves the challenge of cached data storage while offering ease of use and performance benefits.
I hope this continuation provides a comprehensive understanding of MongoDB's key use cases based on user experiences.
Intuitive and easy-to-use UI: Many users have found MongoDB's user interface to be intuitive and easy to use. They appreciate the ability to create clusters, manage collections and databases, and connect to applications easily. Some users specifically mentioned using GUIs like noSQLBooster for MongoDB to connect to the URI of the cluster and run queries. The simplicity of the UI makes it easy for users to find what they need and navigate through the system.
Centralized management feature: Users have mentioned that MongoDB's centralized management feature is extremely helpful for their global distribution. They like the GUI-based point-and-click configuration, which makes it easy to manage their MongoDB deployment. The charts and dashboards provided by MongoDB are appreciated for monitoring system health and status reporting. Users also find it incredibly easy to deploy new regions using MongoDB, making it the go-to option for their global solution.
Helpful guides and tutorials: Users have found the guides and tutorials provided by MongoDB helpful, especially for beginners. These resources have helped them meet their desires and needs for storing and retrieving information entered through their websites. With MongoDB's assistance, users can keep their websites up and running smoothly while ensuring that correct information is shared with users.
Inefficient search functionality: Some users have reported that the search functionality of the product does not work efficiently in certain use cases, causing difficulties in finding specific data. They have found it to be slow and ineffective at times.
Complicated dashboard and chart designing: Users have mentioned that they find the dashboard and chart designing features to be complicated and not beginner-friendly. It can be challenging for them to navigate and create visually appealing visualizations without prior experience or extensive learning.
Delay in support response times: Several users have experienced delays in receiving timely responses from customer support when seeking assistance or resolving issues with the product. This has caused frustration as they had to wait longer than expected for help.
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MongoDB is recommended for students and startups due to its ease of use and cost-saving benefits, making it suitable for non-relational or NoSQL database requirements. Users find it reliable and easy to use.
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Users suggest considering MongoDB for its great support and easy-to-use libraries. They recommend giving it a try, especially if there is a need to store and retrieve data easily. However, it may not be the best choice for complex relational operations.
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MongoDB is highly recommended as a solution for hosting data, particularly because of its advanced technology and supportive team. Users suggest evaluating whether MongoDB meets the system's needs since NoSQL databases might not be suitable for all systems.
In addition to these recommendations, users also suggest trying out MongoDB as a sandbox environment or for learning purposes. It is seen as a comprehensive and powerful solution that can save time and effort in managing the database.
Furthermore, some users mention that if the budget allows for a managed cloud-based database, MongoDB is worth considering. However, others suggest exploring alternatives like Google before making a final decision.
Overall, users praise MongoDB as a great NoSQL database option, especially for hosted services. They also suggest maximizing its usage based on specific requirements since it supports handling large volumes of data. To gain more knowledge about the product and prepare for certification exams, users recommend taking advantage of MongoDB University's free courses.
Attribute Ratings
Reviews
(1-5 of 5)Great out of the box solution for documents data
- Monitoring
- Recommendation
- NoSQL
- Documents Database
- Cost
- Remote Access
- User Management
- Automatic software patching
- 90%9.0
- Database scalability
- 80%8.0
- Automated backups
- 100%10.0
- Database security provisions
- 100%10.0
- Monitoring and metrics
- 90%9.0
- Automatic host deployment
- 100%10.0
- Low cost of implementation
- Low cost of maintenance
- Solved our project requirements very quickly
- Amazon Relational Database Service (RDS)
Full Featured Managed MongoDB Hosting
- Managed Database Hosting
- Backup and Recovery
- Perfomance Monitoring
- Scaling and Load Balancing
- Pricing for small instances could be cheaper
- Allow downscaling of existing instances
- Automatic software patching
- 100%10.0
- Database scalability
- 100%10.0
- Automated backups
- 90%9.0
- Database security provisions
- 90%9.0
- Monitoring and metrics
- 100%10.0
- Automatic host deployment
- 80%8.0
- Improved our maintainability
- Reduced daily work compared to self-hosted solutions
- Reasonable pricing compared to value
- Amazon Relational Database Service (RDS)
Great solution for NoSQL database
- No infrastructure on our side. Free of management.
- Easy to scale up and down.
- More granular billing.
- More specific alerting system.
- Automatic software patching
- 90%9.0
- Database scalability
- 100%10.0
- Automated backups
- 100%10.0
- Database security provisions
- 100%10.0
- Monitoring and metrics
- 100%10.0
- Automatic host deployment
- 100%10.0
- Saves us time to manage our own infrastructure.
- Team members do not have to learn unnecessary setting up.
Atlas offers the best NoSQL DB in the Cloud
- DB Provisioning.
- DB Management.
- Live Migration Service.
- Automatic software patching
- 100%10.0
- Database scalability
- 90%9.0
- Automated backups
- 100%10.0
- Database security provisions
- 100%10.0
- Monitoring and metrics
- 100%10.0
- Automatic host deployment
- 90%9.0
- Positive - Faster provisioning so we don't have development teams waiting.
- Positive - Automated backups and server management - eliminates need for dedicated DBAs.
- Price
- Product Reputation
- Vendor Reputation
- Existing Relationship with the Vendor
MongoDB Atlas Review
- Generous free and trial plan for evaluation or test purposes.
- New versions of MongoDB are able to be deployed with Atlas as soon as they're released—deploying recent versions to other services can be difficult or risky.
- As the key supporters of the open source MongoDB project, the service runs in a highly optimized and performant manner, making it much easier than having to do the work internally.
- As an independent entity, MongoDB Atlas is not included in existing subscriptions from AWS or Azure, requiring an additional support plan and reliance on a third party.
- Automatic software patching
- 90%9.0
- Database scalability
- 90%9.0
- Automated backups
- 80%8.0
- Database security provisions
- 90%9.0
- Monitoring and metrics
- 90%9.0
- Automatic host deployment
- 90%9.0
- Because of the numerous Atlas deployment choices, it is very cost-effective to scale your instances to only the required sizes, lowering long term costs.
- Removes a role that was traditionally left to individual companies when trying to deploy and manage MongoDB, which has been amongst its least attractive factors; MongoDB's Atlas implementation is rock-solid, well supported, and backed by SLAs to ensure high availability.
- PostgreSQL and MySQL