Find out in this report how the two AI Software Development solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
I find it easy to use.
A minimum of 50% time is saved when comparing manual to automation.
I have used them sometimes, even recently, and found the feedback to be spot on our needs.
The features of MongoDB Atlas fall short, resulting in an average rating due to higher-expectation features still lacking in its offerings.
For premium support, I would rate the support of MongoDB Atlas a nine.
I appreciate the ease of using Postman, especially its desktop version, due to the features it offers such as cookie management and environment synchronization.
There is a lot of support available through forums and user groups, which has been sufficient for me.
It's very much scalable, and I would rate scalability a nine.
MongoDB Atlas offers sharding as a scalability feature, although it does not perform as well as Oracle.
Postman does not have database validation available, which affects its scalability.
This solution is scalable.
When it comes to OLTP transactions, its performance declines.
The stability of the product is very high.
I rate it ten out of ten for stability.
I have not experienced any issues or downtimes.
During the development phase, you will face issues, but once it goes to production, you won't face such issues.
Enhancing capabilities for data pipelines and visualization dashboards.
MongoDB Atlas should support containerization.
I would say pricing is an area where MongoDB Atlas could improve.
One of the primary challenges with Postman is handling authentication issues, especially relating to tokens and passwords.
If they can enhance it to have a database kind of validation like we have in ReadyAPI, it would be better.
Maybe Postman can be a good contender and replicate some features such as more scripting and control over API calls.
For our service, it was around 300 to 600 euros per month, which was acceptable for our customers.
The price of MongoDB Atlas is reasonable, which is why many organizations, including mine, are opting for it.
Postman's pricing model includes a basic free version, which is favorable given the Professional enterprise options offered.
Postman is open-source, so the cost is minimal compared to commercial platforms.
Postman is much cheaper than the other tools.
I find MongoDB Atlas highly scalable and easy to use, with very good support.
It is particularly useful for unstructured and semi-structured data because of its performance in these areas.
The most valuable features of MongoDB Atlas in handling large data volumes include collection size and its NoSQL database capabilities.
The desktop version's features like cookie management, environment compatibility, security settings, proxy integration, and data synchronization add significant value.
It's easy to navigate because tons of documentation and examples are available.
Postman's collaboration tools, such as version control and team workspaces, are particularly useful when working with teams of three to four people.
| Product | Market Share (%) |
|---|---|
| Postman Enterprise | 0.4% |
| MongoDB Atlas | 0.5% |
| Other | 99.1% |
| Company Size | Count |
|---|---|
| Small Business | 23 |
| Midsize Enterprise | 10 |
| Large Enterprise | 20 |
| Company Size | Count |
|---|---|
| Small Business | 17 |
| Midsize Enterprise | 9 |
| Large Enterprise | 41 |
MongoDB Atlas stands out with its schemaless architecture, scalability, and user-friendly design. It simplifies data management with automatic scaling and seamless integration, providing dynamic solutions for diverse industries.
MongoDB Atlas offers a cloud-based platform valued for its seamless integration capabilities and high-performance data visualization. It features advanced security options such as encryption and role-based access control alongside flexible data storage and efficient indexing. Users benefit from its robust API support and the ability to manage the platform without an extensive setup process. Feedback suggests improvements are needed in usability, query performance, security options, and third-party tool compatibility. While pricing and support services could be more economical, there is a demand for enhanced real-time monitoring and comprehensive dashboards, as well as advanced containerization and scalability options supporting complex database structures.
What are the key features of MongoDB Atlas?
What benefits should you consider in a solution like MongoDB Atlas?
In healthcare and finance, MongoDB Atlas manages payment transactions and facilitates real-time analytics, powering SaaS solutions and storing large volumes of user data. It enhances scalability, performance, and security for cloud hosting, IoT integrations, and Node.js environments, widely favored for its flexibility and capability to support microservices.
Postman Enterprise provides API testing capabilities with features like automation, integration, and shared environments, enhancing efficiency for REST and SOAP APIs. Teams benefit from its intuitive interface and support for automation and scripting.
Postman Enterprise is designed for API testing, supporting REST and SOAP APIs to enhance manual and automated testing. It offers endpoint validation, unit and integration testing, and data-driven testing. This platform is valued for its easy setup, flexibility in automation, and scripting, enabling collaborations through shared collections and generating reports. However, users find room for improvement in automation, integration with platforms, SOAP API testing, and collection management.
What are the key features of Postman Enterprise?In industries relying on API development, Postman Enterprise aids in creating robust testing environments. Whether technology, finance, or healthcare, teams leverage its data-driven testing capability and collaboration features for comprehensive and accurate testing outcomes.
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