MongoDB Atlas Reviews

Name: MongoDB Atlas
Brand: MongoDB
Rating: 4.2 (47 reviews)

4.2 out of 5

47 reviews
98% willing to recommend

What is MongoDB Atlas?

MongoDB Atlas offers a cloud-based database service known for speed, scalability, ease of use, and flexibility. Its robust features and advanced security measures support various business needs, making it ideal for unstructured data management.

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MongoDB Atlas is the #3 ranked solution in top Database as a Service vendors and #6 ranked solution in top Managed NoSQL Databases. PeerSpot users give MongoDB Atlas an average rating of 8.4 out of 10. MongoDB Atlas is most commonly compared to Amazon RDS: MongoDB Atlas vs Amazon RDS. MongoDB Atlas is popular among the large enterprise segment, accounting for 61% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a computer software company, accounting for 18% of all views.

Helped 832,138 peers since 2012

Featured reviews

Luca Botti

Partner at Red software systems

I find MongoDB Atlas highly scalable and easy to use, with very good support. The pricing is quite scalable and applies to various scenarios, both for smaller and bigger companies. MongoDB Atlas has supported our data growth well, and my overall impression is very positive. It is easy to work with and has a reliable support structure. For structured data storage and performance, it provides a comprehensive solution, and the feedback was generally positive.

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AhmetÖzdemir

Senior Database Administrator at Türk Telekom

I have also used Microsoft SQL databases. There's a distinction between SQL and MongoDB because one of them is based on the schema first. The other is not schema, not permanent, because of ACID compliant databases. The transaction is very important at the SQL, MYSQL, and Postgre databases, so if any transaction fails, it has to roll back because of the schema at most of ACID compliant databases. There are 35 million customers that consume those databases, like a POC system. Lots of transactions passing through the system are based on Microsoft SQL. Only semi-structured data – like a document based system like Twitter and social media data – is based on MongoDB.

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Manav Sethi

Senior Software Engineer at Yamaha Motor Solutions India

I believe MongoDB Atlas has room for improvement in terms of providing more convenient UIs for data manipulation. At present, we are required to create an HTTP proxy after the database and then use the UI to communicate with the database via that proxy. If MongoDB Atlas could offer UI features to create tables and add or update records from them, it would eliminate the need for UI development. For instance, if we have a table or collection of orders and products, and MongoDB has charts, then MongoDB Atlas could offer some tables to create tables, create orders, create products, update orders, update products, and link orders and products. So, we are basically expecting a UI to change the database. For the additional features, I think giving the UI or the user interface to create tables or something similar would help simplify creating orders and products for a layman with zero technical knowledge.

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MongoDB Atlas mindshare

Product category:

As of February 2025, the mindshare of MongoDB Atlas in the Database as a Service (DBaaS) category stands at 15.0%, up from 14.0% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Database as a Service (DBaaS)

PeerAnalyst reports

Type	Title	Date
Category	Database as a Service (DBaaS)	Feb 1, 2025	Download
Product	Reviews, tips, and advice from real users	Feb 1, 2025	Download
Comparison	MongoDB Atlas vs Microsoft Azure SQL Database	Feb 1, 2025	Download
Comparison	MongoDB Atlas vs Amazon RDS	Feb 1, 2025	Download
Comparison	MongoDB Atlas vs Google Cloud SQL	Feb 1, 2025	Download

Title	Rating	Mindshare	Recommending
Amazon RDS	4.2	25.4%	98%	53 interviews Add to research
Microsoft Azure SQL Database	4.3	16.2%	96%	116 interviews Add to research

Valuable Features

MongoDB Atlas features include scalability, speed, ease of use, and flexibility. Users appreciate the seamless integration, cloud-based structure, user-friendly interface, and the ability to quickly deploy projects. Schemaless architecture, dynamic structures, and auto-scaling are valuable for managing diverse data needs. Its strong security, redundancy, and advanced tools for data visualization and query support further enhance performance. Organizations enjoy minimized maintenance and efficient storage with pay-as-you-go options, backed by top-notch support.

"I find MongoDB Atlas highly scalable and easy to use, with very good support."
"I find MongoDB Atlas highly scalable and easy to use, with very good support."
"For security reasons, I prefer MongoDB Atlas. It supports role-based access control, so you have an entity for each individual."

Room for Improvement

MongoDB Atlas faces challenges with its user interface, dashboard comprehensibility, and performance in importing and exporting data. The cost is considered high, affecting perceived value. Query performance and integration with other platforms need enhancement. Users find data aggregation, indexing, and real-time monitoring require optimization. Issues with training, security, and support are highlighted. Improvements in AWS integration, scalability, and API offerings are desired. Additionally, documentation and user experience could be more intuitive and supportive.

"I am not an expert on what improvements could be made to MongoDB."
"That is the only drawback that I find with MongoDB: creating the trigger."
"Searching and browsing through the collection must be made easier."

ROI

Organizations using MongoDB Atlas report reduced costs and increased efficiency, particularly in regulated environments with distributed storage needs. Engineering teams see positive returns by avoiding physical server maintenance. Many find Atlas valuable for large-scale projects despite scalability challenges requiring careful management. Users note cost savings compared to previous systems and highlight its impact on project speed and data access. Some experienced a 10% return on investment, though support costs sometimes limit value.

Pricing

Enterprise users of MongoDB Atlas report mixed experiences with pricing and licensing. While some find it cost-effective and appreciate the pay-as-you-go and scalable pricing models, others consider it expensive compared to on-premises solutions. The AWS Marketplace is often favored for its seamless purchasing process. Licensing is typically monthly, though costs for features such as support can add up. The free tier offers a chance to explore the service before commitment, appealing to potential buyers.

"For our service, it was around 300 to 600 euros per month, which was acceptable for our customers."
"I am using the free version of the solution."
"The pricing is not that expensive, but it can be, especially when we have deployed it across multiple zones."

Popular Use Cases

Organizations primarily utilize MongoDB Atlas for cloud hosting, application databases, managing NoSQL databases, and handling high-performance database needs. They rely on it for its scalability, flexibility, schema-less nature, and cost-effectiveness compared to traditional databases. Various use cases include client-facing applications, IoT integration, real-time analytics, payment transaction processing, data management, and infrastructure-as-code. MongoDB Atlas supports flexible data architectures and is preferred for applications without predefined structures, improving performance and data availability across systems.

Service and Support

Many users report positive customer service experiences with MongoDB Atlas. They mention varying needs for technical support, often influenced by the support plan chosen. Some praise the expertise and efficiency of the support team, particularly at higher service levels, while others find it costly with occasional delays. Feedback highlights skilled, accommodating support, resolving issues, providing helpful guidance, and using forums for knowledge exchange. Ratings vary between service levels, with some expressing frustration over response times and costs.

Deployment

MongoDB Atlas's initial setup is widely described as easy and straightforward. Users find it user-friendly, often requiring minimal expertise. It integrates smoothly with AWS and major cloud providers, offering reliable support and documentation. While most tasks are accessible to users with basic skills, complex configurations may need more technical knowledge. Migration and connecting with non-native environments can pose challenges, but the setup remains manageable with proper resources and guidance.

Scalability

MongoDB Atlas enables high scalability for various organizations. Users have effortlessly expanded from small to large data volumes. Features like autoscaling and horizontal scaling allow efficient resource management, supporting numerous users and tasks. The platform handles big data environments and adapts to growing demands, though some technical competencies may be required. Companies can scale databases easily with configurations, providing flexibility and reliability. Certain reviews rate its scalability positively, crediting its ability to support many users efficiently.

Stability

MongoDB Atlas demonstrates high stability, efficiently handling heavy workloads and delivering continuous performance without interruptions. Users consistently appreciate its reliability under stress, with minimal faults and high availability. Despite some minor interface issues, most aspects remain robust. Feedback highlights its capacity to manage tasks autonomously, reducing user intervention. Several evaluations score its stability between seven to ten, indicating strong confidence in its reliability for various applications, including mission-critical environments.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our MongoDB Atlas Buyer's Guide for additional reliable information.

Review data by company size

By reviewers

By visitors reading reviews

Top industries

By visitors reading reviews

Computer Software Company

18%

Financial Services Firm

16%

Healthcare Company

Comms Service Provider

Manufacturing Company

University

Educational Organization

Insurance Company

Energy/Utilities Company

Media Company

Retailer

Government

Outsourcing Company

Real Estate/Law Firm

Hospitality Company

Construction Company

Recreational Facilities/Services Company

Non Profit

Legal Firm

Transportation Company

Pharma/Biotech Company

Performing Arts

Logistics Company

Leisure / Travel Company

Aerospace/Defense Firm

Compare MongoDB Atlas with alternative products

Learn more about MongoDB Atlas

MongoDB Atlas maximizes data handling capabilities by providing a seamless integration and high availability environment. The platform's schemaless architecture and rich query support make it suitable for complex data processing. With cloud-based infrastructure, deployment and maintenance are simplified, serving sectors such as healthcare, finance, and more. Organizations benefit from autoscaling, clustering, and APIs for effective project management. Continuous improvements in user experience, cost-effectiveness, query performance, and security are expected to meet evolving expectations.

What are the most important features?

Speed: Optimized for fast data handling and processing.
Scalability: Adapts to growing data needs without hassle.
Ease of Use: User-friendly interface for efficient navigation.
Flexibility: Supports unstructured data with ease.
Integration: Seamlessly connects with cloud environments.
High Availability: Ensures uninterrupted data access and operations.
Advanced Security: Protects data with robust security measures.
Schemaless Architecture: Enables dynamic data structure management.
Rich Query Support: Facilitates complex queries and analytics.

What benefits and ROI should be considered?

Easy Deployment: Streamlines the setup process in cloud environments.
Efficient Project Management: APIs and tools enhance workflow.
Cost-Effectiveness: Potential for more flexible pricing models.
Data Management: Automates backups and supports clustering.
Advanced Tools: Enables comprehensive data processing capabilities.

MongoDB Atlas is widely implemented in industries such as healthcare, finance, and technology. It serves applications requiring high availability and scalability, handling tasks from patient data management to real-time analytics. With its adaptable infrastructure, Atlas supports diverse use cases from IoT integration to transactional processing in cloud environments.

MongoDB Atlas was previously known as Atlas.

MongoDB Atlas customers

Wells Fargo, Forbes, Ulta Beauty, Bosch, Sanoma, Current (a Digital Bank), ASAP Log, SBB, Zebra Technologies, Radial, Kovai, Eni, Accuhit, Cognigy, and Payload.