Find out in this report how the two Database as a Service (DBaaS) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
The features of MongoDB Atlas fall short, resulting in an average rating due to higher-expectation features still lacking in its offerings.
I have used them sometimes, even recently, and found the feedback to be spot on our needs.
For premium support, I would rate the support of MongoDB Atlas a nine.
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.
Data migration and changes to application-side configurations are challenging due to the lack of automatic migration tools in a non-clustered legacy system.
When it comes to OLTP transactions, its performance declines.
The stability of the product is very high.
Redis is fairly stable.
Enhancing vector processing for AI capabilities would also be critical.
MongoDB Atlas should support containerization.
Data persistence and recovery face issues with compatibility across major versions, making upgrades possible but downgrades not active.
The price of MongoDB Atlas is reasonable, which is why many organizations, including mine, are opting for it.
For our service, it was around 300 to 600 euros per month, which was acceptable for our customers.
Since we use an open-source version of Redis, we do not experience any setup costs or licensing expenses.
The most valuable features of MongoDB Atlas in handling large data volumes include collection size and its NoSQL database capabilities.
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.
It functions similarly to a foundational building block in a larger system, enabling native integration and high functionality in core data processes.
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.
Redis is a high-performance, scalable, and easy-to-use caching solution that improves application performance. It is also used for session management, real-time analytics, and as a message broker.
Redis's valuable features include its ability to handle large amounts of data quickly, its simplicity and straightforward setup process, and its support for various data structures, providing flexibility for different use cases.
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