Skip to main content
TrustRadius
MongoDB Atlas

MongoDB Atlas

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.

Read more
Recent Reviews

TrustRadius Insights

Users highly value MongoDB's Atlas search feature, which eliminates the need for external services like Elasticsearch for searching …
Continue reading

MongoDB Atlas Review

8 out of 10
March 19, 2019
Incentivized
MongoDB Atlas provides a simple means of deploying and managing MongoDB deployments in a variety of cloud services (AWS, Google, and …
Continue reading
Read all reviews

Popular Features

View all 6 features
  • Automatic software patching (5)
    9.5
    95%
  • Automated backups (5)
    9.5
    95%
  • Database security provisions (5)
    9.5
    95%
  • Database scalability (5)
    9.0
    90%

Reviewer Pros & Cons

View all pros & cons
Return to navigation

Pricing

View all pricing

Dedicated Clusters

$57

Cloud
per month

Dedicated Multi-Reigon Clusters

$95

Cloud
per month

Shared Clusters

Free

Cloud

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services
Return to navigation

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

9.3
Avg 8.7
Return to navigation

Product Details

What is MongoDB Atlas?

MongoDB Atlas Video

Run MongoDB on the cloud with MongoDB Atlas for FREE! With Atlas, run MongoDB on AWS, Azure or Google Cloud in just a few clicks. Get started today: https://www.mongodb.com/cloud/atlas/register Subscribe to MongoDB ►►► https://bit.ly/3bpg1Z1 Connect with MongoDB: Website: ...
 Show More

MongoDB Atlas Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

MongoDB Atlas is the company's automated managed cloud service, supplying automated deployment, provisioning and patching, and other features supporting database monitoring and optimization.

Reviewers rate Automatic software patching and Automated backups and Database security provisions highest, with a score of 9.5.

The most common users of MongoDB Atlas are from Mid-sized Companies (51-1,000 employees).
Return to navigation

Comparisons

View all alternatives
Return to navigation

Reviews and Ratings

(59)

Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

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.

  1. 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.

  2. 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.

  3. 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)
Companies can't remove reviews or game the system. Here's why
Score 10 out of 10
Vetted Review
Verified User
Incentivized
We use MongoDB Atlas to store documents used by our application to perform our business operations. MongoDB Atlas makes it easier to solve our business problem since we can directly interact with the documents in a format we want instead of having to deal with relational databases. It also enable us to do a straightforward approach with customer data by just making some teaks and uploading to MongoDB Atlas, which reduces the burden of developing stuff around it.
  • Monitoring
  • Recommendation
  • NoSQL
  • Documents Database
  • Cost
  • Remote Access
  • User Management
Suited: scenarios where you work with NoSQL data such as json objects that require scalability and elasticity of your load, multi-region deployments and all the security/good practices requirements like backup, user management, compliance, etc. Less appropriate: well if you require offline deployments MongoDB Atlas is not for you since its a cloud solution. Also since its managed by MongoDB Atlas you lose some of the fine tuning and configurations in MongoDB Atlas which might be a blocker.
Amazon Relational Database Service (RDS), HashiCorp Vault, Grafana
Database-as-a-Service (6)
93.33333333333334%
9.3
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)
MongoDB Atlas has been in the market for very long time and there are bunch of documentation, training and support for it. It also is specifically designed for the use case similar to our project and big companies in the market uses them for very high load which made us confident about our choice.
Nir Levy | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
We are using MongoDB as a database for one of our applications, and MongoDB Atlas as the managed hosting for the database. Atlas is used for both development and production workloads and allows us to have a managed service with load-balancing, backup and recovery, and performance optimization. We have multiple databases running on the system serving multiple applications.
  • Managed Database Hosting
  • Backup and Recovery
  • Perfomance Monitoring
  • Scaling and Load Balancing
  • Pricing for small instances could be cheaper
  • Allow downscaling of existing instances
We are very happy with MongoDB Atlas as our managed database hosting provider. I would recommend it if you need an AWS/GCP based database instance without needing to worry about installation, maintenance, and backup. I am also very pleased with its scalability and performance optimization tools.
Database-as-a-Service (6)
93.33333333333334%
9.3
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)
Both AWS RDS and MongoDB Atlas provide a state-of-the-art managed database hosting service, with the difference being the type of databases they support. AWS RDS does not support MongoDB engine and Atlas only supports MongoDB. So I consider them complimentary services and we are using both.
MongoDB, Amazon Relational Database Service (RDS), SingleStore
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Our department is using the MongoDB Atlas cluster we set up on our own servers. It has reached to a point that it becomes hard to manage and to scale. MongoDB Atlas came to our site with the ability to scale and free of management, which saves a lot of effort for us.
  • No infrastructure on our side. Free of management.
  • Easy to scale up and down.
  • More granular billing.
  • More specific alerting system.
I would recommend MongoDB Atlas to every company who have a significant need in the NoSQL database and do not want to manage their infrastructure. Using MongoDB Atlas can significantly reduce your management time and cost, which saves valuable resources for other tasks. It also suits a smaller company as MongoDB Atlas scales up and down very quickly.
Database-as-a-Service (6)
98.33333333333334%
9.8
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.
MongoDB Atlas has an excellent rating out there in the market. They have a great supporting team as well. When we have questions about technical stuff, they respond fast. The performance of MongoDB Atlas is the key factor that we choose to use. Because it has such an easy way to set up, it can be integrated with GCP, AWS.
We love MongoDB support and have great relationship with them. When we decided to go with MongoDB Atlas, they sent a team of 5 to our company to discuss the process of setting up a Mongo cluster and walked us through. when we have questions, we create a ticket and they will respond very quickly.
Gene Baker | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
MongoDB is a standard NoSQL database within our enterprise. We are considering applications for cloud dbs and MongoDB Atlas is a choice for NoSQL cloud deployments or DBaaS. I am working on a project where we are looking at modernizing our platform and have defined a future state architecture. MongoDB Atlas can be used for storing some non-relational attributes that can be stored in document form where the schemas may vary from record to record. And MongoDB Atlas is very quick to provision. Getting servers provision within our organization can be very slow given the SLAs some teams have. Atlas gets us prototyping and coding almost immediately.
  • DB Provisioning.
  • DB Management.
  • Live Migration Service.
Atlas is a NoSQL DB so the use cases being solved need to be appropriate for NoSQL. It's really hard to think of what you can't do with Atlas. Atlas is great for building a data lake. We have prototyped an application where various json files come in and we load them into Atlas for processing downstream. I would say if you're building a ledger, put that into SQL, but Atlas is definitely perfect for those NoSQL scenarios. We are also considering using Atlas for indicative and demographic information but not for financial information because the financial information fits better into our SQL deployment.
Database-as-a-Service (6)
96.66666666666666%
9.7
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.
MongoDB is a great product but on premise deployments can be slow. So we turned to Atlas. We also looked at Redis Labs and we use Redis as our side cache for app servers. But we love using MongoDB Atlas for cloud deployments, especially for prototyping because we can get started immediately. And the cost is low and easy to justify.
We've never had any issues with MongoDB Atlas and when we've had questions, MongoDB has a quick turnaround on getting them answered. I would give them 5 stars or 10/10. When you don't have problems, that's the best. But also getting quick answers to tech questions is great. Also I would like to mention that MongoDB has an online learning center offering a number of totally free classes. These free classes help educate us so that we are not constantly calling on Tech Support.
No
  • Price
  • Product Reputation
  • Vendor Reputation
  • Existing Relationship with the Vendor
The single most important factor was the fact it is DBaaS or cloud based. We are able to get fast provisioning of servers when we need them, almost immediately. This keeps our development teams building software and designing applications. To deploy servers on-prem typically takes 30-90 days and requires involvement of a lot of people. I realize this is our own bureaucracy which is why we use Atlas.
We defined a number of criteria. Automated backups, Quick provisioning. Ability to easily migrate from on-prem to cloud, automated server management. Cost. MongoDB ATlas was tops in all of our categories. We would probably add some additional criteria if doing the eval again, but MongoDB Atlas meets our needs. We are very happy with the product and our selection process led us there.
March 19, 2019

MongoDB Atlas Review

Score 8 out of 10
Vetted Review
Verified User
Incentivized
MongoDB Atlas provides a simple means of deploying and managing MongoDB deployments in a variety of cloud services (AWS, Google, and Azure). MongoDB Atlas includes a generous free tier for test purposes (512MB instances with low compute resources). Atlas provides a simple means of managing what can be difficult-to-deploy-and-manage software when working directly on top of a PaaS vendor like AWS.
  • 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.
MongoDB Atlas is the clear number one choice when deploying the NoSQL MongoDB engine to a PaaS vendor, and when the ability to use an additional cloud vendor is a possibility. By having the same people designing and working on the MongoDB engine perform the hosting work, Atlas shines as an incredibly performant and scalable cloud-based NoSQL solution.
Database-as-a-Service (6)
88.33333333333334%
8.8
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.
When choosing a NoSQL, open source database, MongoDB is the clear winner from an implementation standpoint. For databases that are better suited for highly-organized data, a traditional database engine like MySQL, PostgreSQL, or Oracle's RDBMS may be a better choice. When the requirement is for a NoSQL production database, MongoDB and Atlas are the clear winners from an implementation and management perspective and is very cost-competitive with offerings from Azure Cosmos and Amazon Document DB.
Return to navigation