Find out what your peers are saying about Amazon Web Services (AWS), Microsoft, MongoDB and others in Database as a Service (DBaaS).
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.
I would rate their technical support a 10 out of 10.
Most cases are handled perfectly.
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.
Integration with other vendors is also seamless.
In order to scale Veeam Data Platform, we have to pay a lot more money.
When it comes to OLTP transactions, its performance declines.
The stability of the product is very high.
There are no issues with stability in Veeam Data Platform.
Enhancing vector processing for AI capabilities would also be critical.
MongoDB Atlas should support containerization.
Reducing it by 20% would make it more accessible to a broader range of customers.
OpenStack is something Veeam Data Platform doesn't support, and they haven't indicated that they will support it in the future.
Compared to IBM, Veeam Data Platform is simpler but brings some challenges with automation in backup and Oracle backup configuration.
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.
I believe it is not expensive; it's the regular price.
A reduction of 20% in the current cost would make the solution more attractive to clients.
Veeam Data Platform is more expensive than OpenStack because we pay for it in US dollars, while we pay for OpenStack in Egyptian pounds.
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.
The platform is user-friendly, comprehensive, and compatible with numerous market solutions, including virtualization and bare metal servers.
The most important aspect of this platform is data security with immutable data in the storage.
Veeam Data Platform provides me with the most useful features such as application restore, single file restore, backup and replication, and continuous replication.
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.
Veeam Data Platform is designed for modern data management, providing secure backups, intelligent data insights, and resilience. It ensures data is protected, recoverable, and manageable across complex environments, supporting business continuity effectively.
Veeam Data Platform stands out with its robust capabilities in data protection, orchestrated recovery, and efficient management. It offers a simple interface while ensuring data security and availability, which is critical for businesses. The platform's compatibility with virtual machines, databases, and applications across VMware, Hyper-V, and cloud environments makes it a versatile choice for backup and disaster recovery strategies. Users gain confidence from its performance, from secure backups to facilitating effective infrastructure monitoring.
What are the key features of Veeam Data Platform?Veeam Data Platform is widely implemented by industries needing robust disaster recovery plans and data management solutions. It is particularly valuable in environments utilizing hybrid cloud solutions, protecting mission-critical workloads, and ensuring business continuity. Businesses leverage its capabilities to safeguard data integrity and facilitate long-term retention through efficient infrastructure management.
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