

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.
AWS provides the best support, followed by Microsoft, and then Google.
They really understand deeply and in detailed fashion the solution.
They provide better support for the enterprise edition.
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.
Camunda offers a high level of scalability, especially when using its SaaS model, which manages and scales implementations automatically.
ECS and Fargate make horizontal scalability very easy.
They have that REST layer, REST APIs layer that makes it easy to integrate and make it part of a microservices ecosystem and APIs.
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.
There haven't been any significant outages in my experience with Camunda.
We were not really concerned about the performance on the process itself because it was super simple, super straightforward, and it did not present itself as a bottleneck, nor did we feel it was adding additional time in the execution.
When it comes to OLTP transactions, its performance declines.
The stability of the product is very high.
More open documentation would be beneficial to understand the deployment process better and facilitate easier setup.
There is an issue where, in some situations, I need to scale up by observing both CPU and memory usage of containers, yet under the current options available at Amazon, this is not possible.
Since they made the move to cloud deployment in a more SaaS-oriented way, they do not invest too much in the community version.
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.
AWS pricing is very competitive compared to Azure and cheap compared to Google.
There is a licensing cost for using the SaaS model and Enterprise edition of Camunda.
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.
EC2 makes scaling horizontally incredibly easy, especially when working under the ECS service.
Camunda's support for BPMN 2.0 is a great advantage because it allows us to have a common language to discuss technology and business in the same perspective.
The biggest difference between Camunda and Bonita might be that Camunda is simpler and more flexible for setting.
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.
| Product | Market Share (%) |
|---|---|
| Camunda | 1.9% |
| MongoDB Atlas | 0.5% |
| Other | 97.6% |


| Company Size | Count |
|---|---|
| Small Business | 43 |
| Midsize Enterprise | 15 |
| Large Enterprise | 29 |
| Company Size | Count |
|---|---|
| Small Business | 23 |
| Midsize Enterprise | 10 |
| Large Enterprise | 20 |
Camunda revolutionizes process orchestration by enabling seamless automation and integration with AI, human tasks, and existing systems while ensuring security and governance.
Built for collaboration between business and IT, Camunda empowers organizations to manage complexity, boost efficiency, and maintain competitive advantage. With a clientele of over 700 top organizations like Atlassian, ING, and Vodafone, Camunda is a trusted partner in designing, orchestrating, automating, and refining critical business processes to accelerate digital transformation. Its open-source nature, ease of use, and REST API integration make it a versatile choice for various needs.
What are Camunda's key features?
What benefits or ROI should users look for?
In banking, Camunda automates processes and manages transactions, while in telecommunications, it optimizes service orders. Governmental and public sectors benefit from workflow automation. Organizations often use either the enterprise edition or the open-source version to create APIs and manage business rules effectively.
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.
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