MongoDB Atlas Reviews

Name: MongoDB Atlas
Brand: MongoDB
Rating: 4.2 (49 reviews)

4.2 out of 5

49 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 #7 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 MongoDB: MongoDB Atlas vs MongoDB. MongoDB Atlas is popular among the large enterprise segment, accounting for 60% 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 859,579 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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IrfanRashid

Owner at Atominos consulting

It should be scalable and easily work with other databases like SQL or Oracle. We shouldn't have trouble converting the data. I would rate the scalability a nine out of ten. Some security features are still under development. MongoDB isn't for our internal users; it's for our customers. Depending on the organization, it can go up to ten thousand or even a hundred thousand users. We have a lot of customers using our applications built on MongoDB. We are a young company, only five years old. We recently started this product, but we know that around a hundred people are using it in one of our products for web and mobile.

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MongoDB Atlas mindshare

Product category:

As of June 2025, the mindshare of MongoDB Atlas in the Database as a Service (DBaaS) category stands at 14.1%, down from 15.4% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Database as a Service (DBaaS)

PeerResearch reports based on MongoDB Atlas reviews

Type	Title	Date
Category	Database as a Service (DBaaS)	Jun 30, 2025	Download
Product	Reviews, tips, and advice from real users	Jun 30, 2025	Download
Comparison	MongoDB Atlas vs Microsoft Azure SQL Database	Jun 30, 2025	Download
Comparison	MongoDB Atlas vs Amazon RDS	Jun 30, 2025	Download
Comparison	MongoDB Atlas vs Google Cloud SQL	Jun 30, 2025	Download

Title	Rating	Mindshare	Recommending
MongoDB	4.1	N/A	92%	81 interviews Add to research
Amazon RDS	4.2	24.0%	98%	56 interviews Add to research

Valuable Features

MongoDB Atlas is valued for its speed, scalability, and ease of use, with features like autoscaling, seamless integration, and strong security. Its web-based, user-friendly interface supports dynamic queries and flexible data storage. High availability, powerful APIs, automatic backup, and excellent dashboards enhance management and scalability. Users appreciate its role-based access control, Elasticsearch compatibility, and the ability to handle unstructured data, making it ideal for various deployments and applications.

"I rate MongoDB Atlas a nine out of ten."
"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."

Room for Improvement

Many users express that MongoDB Atlas requires an improved and more intuitive user interface, especially regarding its dashboard and real-time performance monitoring. There are concerns about costly pricing and limited free features, alongside challenges in query performance and indexing processes. Integration capabilities and ease of use in data migration and administration also need enhancement. Improved customer support and stronger security features are desired for broader adoption and user satisfaction.

"MongoDB Atlas should support containerization."
"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."

ROI

Companies have experienced significant returns with MongoDB Atlas by implementing distributed databases in regulated environments and reducing costs on physical server maintenance and energy. Cost savings and fast data access led many to view its investment favorably. While support can be expensive, the financial benefits derived from reduced operational costs and cloud management are highly valued. Organizations noted financial improvements when effectively managing data and leveraging MongoDB Atlas’s tools, enhancing both productivity and investment value.

Pricing

MongoDB Atlas offers competitive and flexible pricing models, catering to different organizational needs. Users appreciate the pay-as-you-go model, with no traditional licensing fees, though some consider overall costs high, especially for support and multi-zone deployments. Many praise the cost-effectiveness compared to on-premises solutions or other cloud services. The AWS Marketplace is favored for ease of purchase. Some find it expensive for smaller teams, but it's generally seen as offering value for money.

"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

Entities use MongoDB Atlas for cloud data hosting, patient information management, testing, client-facing applications, and AWS integration. It's favored for NoSQL requirements, real-time analytics, IoT integration, transactional processing, and high availability. Teams utilize it for software-as-a-service solutions, financial data, e-commerce, social media analysis, web applications, and schema-less database needs. Organizations benefit from MongoDB's scalability, performance, and cost-effectiveness in cloud environments with diverse applications, focusing on flexibility and seamless data management.

Service and Support

MongoDB Atlas customer service receives positive mentions, often rated between seven and nine. They offer various support plans, allowing users to choose based on needs. Premium support provides faster response times. Many find technical support efficient and helpful, especially during configurations. Some users note it can be costly and slow, particularly for complex issues, and there are occasional inconsistencies in service. Generally, experiences highlight knowledgeable, friendly interactions with varying satisfaction levels depending on the chosen support plan.

Deployment

MongoDB Atlas's initial setup is reported as straightforward and simple by multiple users. The process is easy to understand, often requiring minimal time and technical expertise. Deployments on AWS and other cloud services are efficient, and configuring basic functions is quick. However, advanced configurations, such as VPC pairing or complex migrations, may require more expertise. Many users appreciate the extensive documentation and support, which aids in navigating the setup process efficiently.

Scalability

MongoDB Atlas is regarded as very scalable, with users praising its ability to handle increased capacity effortlessly. Many report seamless scalability even when expanding from gigabytes to terabytes. Some note it requires careful configuration and may involve cost increases when sharding is utilized. Users also appreciate its autoscaling feature, and many rate it highly for scalability. While some mention technical challenges, many emphasize its ability to manage significant data loads efficiently.

Stability

MongoDB Atlas is highly stable, handling large workloads without issues. Users rate it 9-10 for reliability, appreciating its performance features like auto-scaling. Though most find it dependable, some mention occasional UI instability. High availability and built-in management capabilities are praised, allowing stable operation even under stress. Users experience smooth performance, with some concerns about specific functionalities but generally find it effective for mission-critical tasks, often not needing frequent intervention.

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

15%

Manufacturing Company

Comms Service Provider

Healthcare Company

University

Insurance Company

Educational Organization

Retailer

Energy/Utilities Company

Government

Media Company

Outsourcing Company

Hospitality Company

Construction Company

Recreational Facilities/Services Company

Non Profit

Legal Firm

Real Estate/Law Firm

Performing Arts

Pharma/Biotech Company

Sports Company

Wholesaler/Distributor

Aerospace/Defense Firm

Leisure / Travel Company

Transportation 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.