MongoDB Atlas Reviews

Name: MongoDB Atlas
Brand: MongoDB
Rating: 4.2 (46 reviews)

4.2 out of 5

46 reviews
97% willing to recommend

What is MongoDB Atlas?

MongoDB Atlas is a developer data platform that provides a tightly integrated collection of data and application infrastructure building blocks to enable enterprises to quickly deploy bespoke architectures to address any application need. Atlas supports transactional, full-text search, vector search, time series and stream processing application use cases across mobile, distributed, event-driven, and serverless architectures.

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MongoDB Atlas is the #3 ranked solution in top Database as a Service vendors and 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 60% 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 815,854 peers since 2012

Featured reviews

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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Gabriel Anderson

Sr Software Engineer at a engineering company with 10,001+ employees

I have used MongoDB Atlas for my personal side projects as a database, and I have also used it as an infrastructure-as-code (IAC). In my apps, I have used the API to manage and create new databases programmatically. At my workplace, we use MongoDB Atlas for database management, access management…

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Dave Ezrakhovich

Site Reliability Engineering at WiseTech Global

MongoDB Atlas is a schema-less database MongoDB Atlas is very easy to use and user-friendly, and you get what you're paying for. MongoDB Atlas is very easy to use when you are familiar with MongoDB and how to write query functions. I would give the solution a nine out of ten for usability.…

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MongoDB Atlas mindshare

Product category:

As of November 2024, the mindshare of MongoDB Atlas in the Database as a Service (DBaaS) category stands at 15.7%, up from 13.3% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Database as a Service (DBaaS)

Key learnings from peers

Valuable Features

MongoDB Atlas users shared that the solution allows them to efficiently set up and store large amounts of unstructured data. Its user-friendly interface simplifies administration, even for those without extensive command-line interface experience.

The service automatically handles infrastructure management, scaling databases up or down based on the workload, eliminating manual capacity planning. The schemaless nature allows for dynamic data models and structures.

Atlas supports full-text search capabilities and integrates with MongoDB Stitch for real-time analytics, streamlining the processing and querying of data. A rich ecosystem of integrated tools, REST API support, and third-party applications facilitate efficient development workflows.

MongoDB Atlas users also mentioned High Availability through automated cross-region replication, disaster recovery capabilities, and robust security measures, including rest and transit encryption, access control, and network isolation, helping organizations meet compliance requirements.

Additional features include data federation across clusters and seamless integration with data lakes, simplified backup management, multi-cloud support, and schema validation to maintain data consistency and quality within the database.

"For security reasons, I prefer MongoDB Atlas. It supports role-based access control, so you have an entity for each individual."
"MongoDB is a NoSQL tool."
"It can store data as a flat file, similar to a file system."

Room for Improvement

MongoDB Atlas users have shared with us:

"MongoDB Atlas should improve its user experience by providing better explanations or a wizard for people working with its UI."
"The product's data aggregation feature needs to work faster."
"The product's file storage documentation needs improvement."

Is MongoDB Atlas ACID-compliant?

We had users sharing that MongoDB is not ACID compliant, which could limit its usefulness in certain database administration scenarios.

According to the vendor, MongoDB is fully ACID-compliant. As of MongoDB 4.0, there is even support for multi-document ACID transactions when required. Version 4.2 even brought distributed multi-document ACID transactions for even more flexibility. However, MongoDB’s data modeling best practice suggests storing related data together in a single document using a variety of data types, including arrays and embedded documents. So, a lot of the time, ACID is not required as it is a single-document transaction.

"That is the only drawback that I find with MongoDB: creating the trigger."
"Searching and browsing through the collection must be made easier."
"From an improvement standpoint, MongoDB can improve security."

ROI

Users have reported that MongoDB Atlas has provided an okay return on investment, mainly due to new features and engineering experience. The cloud provider's management reduces costs related to physical servers and maintenance, which contributes to improved returns. While some experienced cost reductions and efficiency improvements in large projects, others emphasized the need for careful data management to prevent higher costs. The application’s speed and cost savings highlight its worthiness.

Pricing

MongoDB offers three main pricing plans: Shared, Dedicated, and Serverless.

The Shared plan is the most affordable option and is a good choice for development and testing purposes. It is also a good choice for low-volume production workloads. The Shared plan starts at $0 per month for a free tier and includes 512 MB of storage, 50 GB of data transfer, and 100,000 reads per month.
The Dedicated plan is a good choice for production workloads that require more resources. It includes dedicated hardware and software resources, as well as 24/7 support. The Dedicated plan starts at $57 per month for 1 GB of RAM, 10 GB of storage, and 100,000 reads per month.
The Serverless plan is a good choice for applications with unpredictable traffic patterns. It is a pay-as-you-go plan that charges you only for the resources you use. The Serverless plan starts at $0.10 per million reads.

MongoDB also charges for data transfer. The data transfer rate is $0.01 per GB for all cloud providers and regions. Cross-region data transfer rates range from $0.02 to $0.20 per GB. Public internet data transfer rates range from $0.09 to $0.20 per GB.

MongoDB also offers a number of additional features, such as backups, point-in-time recovery, and global clusters. These features are priced separately.

During interviews we conducted with real users of MongoDB Atlas, we have heard the following opinions about the pricing:

"MongoDB Atlas is not expensive, and since it's a cloud-based solution, you pay by usage."
"It is an open-source platform."
"The solution is fairly priced. I rate the pricing a seven out of ten."

For more information on MongoDB pricing, please visit the MongoDB website.

"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."
"The pricing is acceptable for enterprise tier."

Popular Use Cases

Organizations primarily use MongoDB Atlas for cloud-based NoSQL database management. They leverage its high scalability and performance for applications, data storage, machine learning analytics, payment processing, and IoT integration. MongoDB Atlas manages backups, supports real-time analytics, and handles multi-tenant architectures. It is also popular for database migrations, online applications, and schema-less data storage. Additionally, MongoDB Atlas features document storage, facilitates financial transactions, and supports agile development environments.

Service and Support

Customers of MongoDB Atlas highlight varying levels of support quality, depending on the chosen plan. Premium plans provide prompt responses, while basic plans entail longer waits. Customers find the support team knowledgeable and responsive, but they occasionally experience delays. Some note the high cost of support, whereas others appreciate the efficiency and friendliness of the team. Users value expertise in resolving issues, though interaction with the same support person is rare. Many praise the overall technical assistance offered.

Deployment

Initial setup of MongoDB Atlas is simple and straightforward. It's user-friendly, requiring minimal expertise, and typically takes from a few minutes to a day. Setup involves logging in, creating infrastructure, and specifying configurations. Teams of various sizes report ease in deployment, though complex configurations may require additional skill sets. Comprehensive documentation and cloud compatibility simplify the process further, and many find it seamless, with minimal maintenance needed afterward.

Scalability

MongoDB Atlas is highly scalable, allowing easy horizontal scaling and resource distribution. Users appreciate its managed service for automatic scalability and flexibility. While some mention the technical complexity of setup, many find it effective for large-scale and varied needs. Organizations spanning different industries successfully utilize it, with user bases ranging from a few individuals to thousands. Paid features and sharded clusters enhance scalability, supporting substantial data handling and user growth.

Stability

MongoDB Atlas is cited as a highly reliable and efficient platform. Many emphasize its stability, highlighting minimal bugs, glitches, or downtime. Some note an occasional issue, but generally, it's praised for its robustness, built-in features like auto-scaling, automatic updates, and impressive performance management capabilities. Most rate its stability highly, though a few have mentioned minor interface reliability concerns.

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

15%

Healthcare Company

Manufacturing Company

Comms Service Provider

University

Educational Organization

Insurance Company

Media Company

Energy/Utilities Company

Retailer

Government

Outsourcing Company

Construction Company

Real Estate/Law Firm

Recreational Facilities/Services Company

Hospitality Company

Legal Firm

Non Profit

Transportation Company

Pharma/Biotech Company

Logistics Company

Performing Arts

Aerospace/Defense Firm

Compare MongoDB Atlas with alternative products

Learn more about MongoDB Atlas

A key advantage of MongoDB Atlas is flexibility - it makes it easy to adjust storage and computing resources on the fly. This scalability ensures optimal performance even for workloads with fluctuating demands, without overprovisioning infrastructure. You only pay for what they use. Atlas also enables deploying globally distributed databases that improve data access speeds and provide built-in redundancy for high availability.

On the security front, Atlas offers robust encryption, access controls, and complies with regulations like GDPR and HIPAA out-of-the-box. Its real-time analytics and full-text search empower businesses to quickly gain insights from data to drive better decisions. The document-oriented data model is versatile for handling varied data types - ideal for modern applications dealing with unstructured data.

Additional Atlas capabilities include simplified deployment, built-in disaster recovery, reduced time-to-market and costs, increased agility and scalability. It can power web, mobile, IoT and other applications. With extensive documentation and an active community, getting started with Atlas is straightforward even for lean teams.

Technical Perspectives:

MongoDB Atlas utilizes a document data model, which is intuitive and flexible, allowing faster evolution in response to changing business requirements. This model eliminates the need for expensive JOINs and ORM layers, improving performance and simplifying data handling.
Traditional relational databases often require complex schema designs and ORM layers, adding to the workload of developers and DBAs. MongoDB Atlas offers a more streamlined approach with its document model, reducing the complexity and improving agility.

Peer Reviews and Practical Insights:

The solution is highly rated for its robustness, ease of deployment, and sustainability.
Technical support and pricing are areas highlighted for improvement.
Comparisons with other database solutions like Microsoft SQL Server suggest that MongoDB Atlas is cost-effective, especially considering enterprise-level offerings.
Local support and escalation processes are mentioned, indicating a robust support structure for troubleshooting.

In conclusion, MongoDB Atlas presents a versatile and efficient cloud database solution, particularly favored for its managed services, scalability, and security. The platform's ability to adapt to various application requirements, coupled with its intuitive document model, positions it as a strong contender in the cloud database market.

MongoDB Atlas was previously known as Atlas.

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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.