MongoDB Atlas Reviews

Name: MongoDB Atlas
Brand: MongoDB
Rating: 4.2 (48 reviews)

4.2 out of 5

48 reviews
96% 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 62% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a computer software company, accounting for 19% of all views.

Helped 842,767 peers since 2012

Featured MongoDB Atlas reviews

Laksiri Bala

DB Architect / Consultant at Virtusa Global

It would be beneficial if MongoDB Atlas could better support OLTP aspects and data frames, as well as enhance its capabilities for data pipelines and visualization dashboards. Furthermore, supporting the medallion architecture could be a valuable addition, and incorporating improved spatial and vector handling for geographical data could make it more competitive. Enhancing vector processing for AI capabilities would also be critical.

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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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MongoDB Atlas mindshare

Product category:

As of April 2025, the mindshare of MongoDB Atlas in the Database as a Service (DBaaS) category stands at 14.5%, down from 14.6% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Database as a Service (DBaaS)

PeerAnalyst reports based on MongoDB Atlas reviews

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

Title	Rating	Mindshare	Recommending
Amazon RDS	4.1	25.0%	98%	54 interviews Add to research
Microsoft Azure SQL Database	4.3	15.9%	96%	117 interviews Add to research

Valuable Features

MongoDB Atlas offers speed, ease of use, scalability, flexibility, and high availability. Users appreciate its cloud-based nature, reducing maintenance efforts. Its features include schemaless architecture, autoscaling, integrations, redundancy, data visualization, and backup management. MongoDB Atlas supports various data types and deployments across AWS, Azure, and GCP. Security features like encryption and access control are highly valued. Its user-friendly interface and performance in handling unstructured data make it an appealing choice for organizations.

"The price of MongoDB Atlas is reasonable, which is why many organizations, including mine, are opting for it."
"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."

Room for Improvement

MongoDB Atlas needs improvements in cost efficiency, user interface, indexing processes, and integration capabilities. Users find the dashboard and querying system cumbersome, while performance issues are noted in data handling and real-time monitoring. Security features, training resources, and support could be enhanced. There are challenges in data import/export and scalability, and developer workflows could be streamlined. Enhancements in data warehousing, better support for OLTP, and more user-friendly tools for non-developers are requested.

"MongoDB Atlas is effective for unstructured and semi-structured data, but when it comes to OLTP transactions, its performance declines."
"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."

ROI

Users observed a notable ROI from MongoDB Atlas. It facilitated database management in regulated environments with distributed storage, reduced costs by eliminating physical server maintenance, and saved on engineering expenses. Some found the support slightly costly, yet appreciated the new features and engineering efficiency. The cloud-based management offered cost savings and increased speed of data access. Monitoring data management and throughput was emphasized to avoid increased costs. Users reported up to a 10% ROI.

Pricing

MongoDB Atlas offers competitive pricing with a pay-as-you-go model, praised for affordability and ease when purchasing through AWS Marketplace. While some find it expensive, especially for small businesses or extensive support, others highlight cost-effectiveness compared to alternatives like Microsoft SQL Server and Amazon DocumentDB. The service is scalable, with options for different budgets, including a free tier. Licensing isn't required unless additional support is needed, though support costs can escalate with numerous clusters.

"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 use MongoDB Atlas for cloud-based data hosting, managing NoSQL databases, and supporting various applications in fields like healthcare and finance. It facilitates real-time analytics, IoT integration, and transactions. MongoDB Atlas is favored for its flexibility, high performance, scalability, and lower costs compared to traditional databases. It supports JSON data storage and integrates seamlessly with other cloud services like AWS and Google Cloud, streamlining data management and application development.

Service and Support

Many users report positive experiences with MongoDB Atlas customer service, noting helpful and efficient support. Technical support varies, with several users finding it good for configuration issues and consultancy needs, while others highlight response time fluctuations based on support plans. Some users mention the support’s costliness and rare slow responses. MongoDB Atlas is known for accommodating and skilled support, although consistency in interacting with the same representative is sometimes lacking. Some praise their internal teams, making less use of MongoDB Atlas support.

Deployment

Users found MongoDB Atlas's initial setup easy and straightforward, with seamless integration and configuration in cloud environments like AWS. A single person can efficiently manage deployment, which can take as little as 15 minutes. Some noted challenges with specific configurations, network connectivity, or complex migrations. The process is user-friendly, requiring minimal technical expertise. AS IT professionals appreciated its extensive documentation, automation support, and scalability across platforms.

Scalability

MongoDB Atlas is highly scalable, with configurations supporting growth from gigabytes to terabytes easily. Users appreciate its horizontal scaling and ease of scaling with a few clicks. Autoscaling is supported, and it handles data efficiently. Although sharding helps scalability, it can increase costs. Several users rate it highly for scalability, with the platform adapting well to demand changes, although some mention improvements could be made for simplicity when managing extensive applications.

Stability

MongoDB Atlas is praised for its stability and reliability with users noting high availability and consistent performance, even under stress. Some mention rare interface issues but generally find it dependable, often rating its stability between seven and ten out of ten. Auto-scaling and performance management features enhance its reliability, allowing users to focus on other tasks without frequent maintenance worries. The database is suitable for mission-critical applications and high-availability 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

19%

Financial Services Firm

16%

Comms Service Provider

Manufacturing Company

Healthcare Company

University

Educational Organization

Insurance Company

Retailer

Energy/Utilities Company

Government

Media Company

Outsourcing Company

Hospitality Company

Construction Company

Non Profit

Real Estate/Law Firm

Recreational Facilities/Services Company

Legal Firm

Pharma/Biotech Company

Logistics Company

Performing Arts

Transportation Company

Aerospace/Defense Firm

Leisure / Travel Company

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.